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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojapps</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Applied Sciences</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2165-3925</issn>
      <issn pub-type="ppub">2165-3917</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojapps.2026.163057</article-id>
      <article-id pub-id-type="publisher-id">ojapps-150428</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
          <subject>Chemistry</subject>
          <subject>Materials Science</subject>
          <subject>Computer Science</subject>
          <subject>Communications</subject>
          <subject>Engineering</subject>
          <subject>Physics</subject>
          <subject>Mathematics</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Assessment of Physico-Chemical Parameters of Selected Sites along the Wanjei River, Pujehun District, Sierra Leone</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-6329-3435</contrib-id>
          <name name-style="western">
            <surname>Mabey</surname>
            <given-names>Prince Tongor</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bayon</surname>
            <given-names>Mustapha Sly</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Kawa</surname>
            <given-names>Yahaya Kudush</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Faulkner</surname>
            <given-names>Samuella</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Institute of Environmental Management and Quality Control, School of Environmental Sciences, Njala University, Courier Delivery, Freetown, Sierra Leone </aff>
      <aff id="aff2"><label>2</label> Department of Chemistry, School of Basic Sciences, Njala University, Courier Delivery, Freetown, Sierra Leone </aff>
      <aff id="aff3"><label>3</label> Integrated Geo-Information and Environmental Management Services (INTEGEMS), Freetown, Sierra Leone </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflict of interest.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>05</day>
        <month>03</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>03</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>03</issue>
      <fpage>975</fpage>
      <lpage>992</lpage>
      <history>
        <date date-type="received">
          <day>08</day>
          <month>01</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>23</day>
          <month>03</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>26</day>
          <month>03</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ojapps.2026.163057">https://doi.org/10.4236/ojapps.2026.163057</self-uri>
      <abstract>
        <p>This study examined the physico-chemical parameters of river water samples collected at selected sites along the Wanjei River. The study involved laboratory analysis of water samples collected at four sites including entrance (site 1); upper (site 2); middle (site 3); and lower (site 4) of river Wanjei. Water samples and sampling regimes for the physical parameters (pH, temperature, total dissolved solid (TDS) and electrical conductivity (EC)) were assessed at four different sites in the raining and dry seasons. The results indicate that the highest pH of 8.57 was found at Upper stream during February 2022, while the lowest mean value of 6.70 at same location was exhibited during October 2021. Temperatures across sites and sampling regimes ranged from 26.5˚C (ST-2 during February 2022) to 32.3˚C (ST-1 during December 2021). The TDS ranged from 28.06 (ST-4 during October 2021) to 52.74 (ST-3 and ST-2 during December 2021 and April 2022) sampling regimes. The ECs across sites and sampling regimes ranged from 124.00 µs/cm (ST-4 during July 2022) to 145.20 µs/cm (ST-3 during December 2021) sampling regimes were within the standard level of EC for river (EC = 50 - 1000 µs/cm). Significant (p &lt; 0.05) variations were also detected for chemical contents of water sampled across sites and various sampling regimes. The DO values across sites and sampling regimes ranged from 6.54 mg/L (ST-3 during June 2022) to 8.72 mg/L (ST-4 during October 2021) sampling regime that was above the standard level of oxygen demand (DO) for rivers and drinking water. Biochemical oxygen demand (BOD) reported from water samples from Wanjei River ranged between 1.21 mg/L to 2.18 mg/L, whereas calcium ranged from 47.86 mg/L (ST-3 during June 2022) to 63.78 mg/L (ST-1 during February 2022). The values of sodium (Na<sup>+</sup>), Magnesium (Mg<sup>2+</sup>), calcium carbonate (<inline-formula><mml:math display="inline"></mml:math></inline-formula></p>
        <p>CaCO</p>
        <p>3</p>
        <p>+</p>
        <p>), sulphate (<inline-formula><mml:math display="inline"></mml:math></inline-formula></p>
        <p>SO</p>
        <p>4</p>
        <p>2+</p>
        <p>), chloride (Cl<sup>−</sup>) and fluoride (Fl<sup>−</sup>) across sites and sampling regimes are within the standard levels for aquatic organisms, agriculture and drinking. It is recommended that mitigation measures should be implemented to prevent surface water pollution and the implementation of National Water Resources Management and Development Plan for the management of rivers in Sierra Leone.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Physico-Chemical</kwd>
        <kwd>Site</kwd>
        <kwd>Wanjei River</kwd>
        <kwd>Regimes</kwd>
        <kwd>Contaminant Level</kwd>
        <kwd>Ions</kwd>
        <kwd>Minerals</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Water is the most abundant physical material on the planet and it is a clear liquid. It is always the vital commodity for humans, used for drinking, cooking, agriculture, transport and recreation, among other purposes [<xref ref-type="bibr" rid="B1">1</xref>]-[<xref ref-type="bibr" rid="B3">3</xref>]. Water is a necessary component for the normal functioning of every cell and organ system in the human body [<xref ref-type="bibr" rid="B4">4</xref>]. There are two main natural sources of water: surface water, which includes fresh water from lakes, rivers, streams, etc., and ground water, which includes well and borehole water [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>]. Water has a high value of dielectric constant and also has an exceptionally high heat of vaporization. Water can dissolve most gases like Oxygen (O<sub>2</sub>), carbon dioxide (CO<sub>2</sub>), Nitrogen (N<sub>2</sub>), Hydrogen (H<sub>2</sub>), Sulphur Dioxide (SO<sub>2</sub>), and ammonia. Rivers are essential and delicate freshwater systems that supply the majority of the water needed for agricultural, industrial, and residential uses [<xref ref-type="bibr" rid="B7">7</xref>][<xref ref-type="bibr" rid="B8">8</xref>]. These are open, dynamic ecosystems whose biological, chemical, and physical properties can be significantly impacted by human activity occurring in their drainage basins [<xref ref-type="bibr" rid="B9">9</xref>]. Large volumes of organic and synthetic trash are dumped into rivers by humans with little to no treatment [<xref ref-type="bibr" rid="B10">10</xref>][<xref ref-type="bibr" rid="B11">11</xref>].</p>
      <p>However, human societies have an increasingly worrying impact on rivers and the structure and function of their ecosystems due to population growth and industrialization [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B13">13</xref>]. The five characteristics of watersheds and streams—water quality, habitat structure, stream flow patterns, sources of energy and nutrients, and biotic interaction—are often impacted by human activity in rivers and their environment [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B15">15</xref>]. Soil erosion, domestic waste from both urban and rural regions, agricultural practices, industrial wastes, insufficient treatment, and overuse of scarce water resources could be the main causes of this contamination [<xref ref-type="bibr" rid="B16">16</xref>][<xref ref-type="bibr" rid="B17">17</xref>]. Polluted water contains biological contaminants such as pathogenic bacteria, protozoa, viruses, parasites, worms, and fungi, as well as suspended solids, dissolved inorganic compounds, nitrogen and phosphorus compounds, animal wastes, poisonous chemicals, insecticides, pesticides, medical waste, and toxic heavy metals [<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B19">19</xref>]. </p>
      <p>In water quality evaluation projects, physico-chemical parameters are typically screened, heavy metals are examined, and the biotic and abiotic conditions of ecosystems are assessed [<xref ref-type="bibr" rid="B20">20</xref>]. River Wanjei is one of the major rivers in Sierra Leone. The river as it hosts most of the country’s fish biodiversity is found in the southern province. The environment damage caused by water pollution from agriculture (especially large-scale palm oil plantations and cassava farming for value chains) and mining (diamonds, gold, and other minerals) are yet to be examined. These uses contribute to localized disturbance and nutrient inputs, particularly during periods of low flow when dilution is reduced, and riverine processes are more sensitive to anthropogenic influence. Seasonal connectivity between riparian wetlands and the main river channel enhances nutrient cycling and supports fisheries productivity [<xref ref-type="bibr" rid="B21">21</xref>][<xref ref-type="bibr" rid="B22">22</xref>], which are vital for both ecological integrity and human well-being in communities such as Gbondapi. Thus, this study assesses the physico-chemical parameters of selected sites along the Wanjei River in Pujehun District, Sierra Leone.</p>
    </sec>
    <sec id="sec2">
      <title>2. Research Methodology</title>
      <sec id="sec2dot1">
        <title>2.1. Description of Study Area</title>
        <p>The study was carried out in the Gbondapi community, which is in the Southern Province of Sierra Leone, Pujehun District. Pujehun District is bordered by the Atlantic Ocean to the southwest and the Republic of Liberia to the southeast. Gbondapi is in Kpanga-kabonde Chiefdom, and it is situated 19.3 km away from the district headquarter town Pujehun. The study area is on the Wanjei River, which is an important local center for fish landing, informal trade, and river transport in the area. The climate in Pujehun District is tropical and humid. There is a clear rainy season from May to October and a dry season from November to April which is typical of Sierra Leone’s southern coastal zone [<xref ref-type="bibr" rid="B23">23</xref>][<xref ref-type="bibr" rid="B24">24</xref>]. Along the River Wange area in Pujehun, Sierra Leone, the key economic activities involve agriculture (especially large-scale palm oil plantations and cassava farming for value chains) and mining (diamonds, gold, construction minerals), alongside local fishing, with increasing focus on developing the agricultural value chain to boost local economies. Pujehun is one of Sierra Leone’s poorest districts, relying heavily on these natural resources, with international investment in plantations and mining being major employers of the indigenes. The Wanjei River is one of the many lowland rivers that flow from the southern Sierra Leone coastal plains. These rivers have a lot of seasonal changes. During the rainy season, the flow is higher and the surface is more connected. During the dry season, the flow is lower. This is attributed to tidal exchange and freshwater coming in from upland catchments (based on field observations and river discharge characteristics).</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Sample Collection and Preservation</title>
        <p>The samples for analysis were collected in sterilized bottles carefully taken so that no bubbling was observed during sampling to avoid influencing the dissolved oxygen result. The water temperature, Dissolved Oxygen, and pH were recorded in situ using 3-in-1 HANNAH portable water quality parameter analyzer. The pH of water samples of the water would be measured with the help of a pH Meter with a glass electrode. All other parameters were collected and analyzed by adopting the procedures that were followed by Sharma and Walia [<xref ref-type="bibr" rid="B25">25</xref>]. Water samples collected from the stations or selected sample sites using PETS bottles were corked, stored in the cool box with ice cubes, and transported to the laboratory immediately and stored at a temperature of below 4˚C American Public Health Association [<xref ref-type="bibr" rid="B26">26</xref>] to prevent vaporization and biodegradation of the analytes that are awaiting the Physico-chemical analysis [<xref ref-type="bibr" rid="B27">27</xref>].</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Experimental Method</title>
        <p>The following items Motorized boat, water Quality Parameter testing kits, Global Positioning System (GPS) Device, Digital Camera, Plastic bucket/cool man, PET bottles, Masking tapes, and Markers were some of the field equipment used to conduct the experiment. Data collection design was employed and accompanied by laboratory tests to determine the levels of Physico-chemical parameters of River Wanjei and assess the effects of seasonal variation on the levels of the Physico-chemical parameters of the water body. </p>
        <p>Sampling sites or locations within the study area were mapped out on transect (with a specified distance) and located using GPS. All coordinates and elevation were recorded (<bold>Table 1</bold>). Four sites (entrance, upper, middle, and lower) parts of river Wanjei were sampled. The sites were designated as Entrance (Site 1); Upper (Site 2); Middle (Site 3); and Lower (Site 4). During each sampling occasion, samples were taken twice a day (A for morning and B for evening) which corresponds to the highest and lowest water level. To determine the possible sources of pollution, a thorough one-day preliminary survey of sampling stations was conducted, and the proportional sources of pollution to the river were taken into consideration when choosing these sampling sites. Sampling was done in both rainy and dry seasons (October 2021-July 2022) to cover the varying activity periods and to determine the effects of seasonal variation on the levels of Physico-chemical parameters of the river under study. The sampling frequency was two days in a month. During each sampling occasion, samples were taken twice a day corresponding to the highest and lowest water level. Selected parameters of both physical (temperature, electrical conductivity, turbidity, and TDS), and chemical (pH, as well as concentrations of <inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> PO </mml:mtext></mml:mrow><mml:mn> 4 </mml:mn><mml:mrow><mml:mn> 3 </mml:mn><mml:mo> − </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> , <inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> NH </mml:mtext></mml:mrow><mml:mn> 4 </mml:mn><mml:mo> + </mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> , DO, BOD5, COD, chloride, total alkalinity, total hardness, biological properties.</p>
        <p>Table 1. Sampling location and coordinates.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>Site/location</td>
                <td>Latitude</td>
                <td>Longitude</td>
              </tr>
              <tr>
                <td>ST-1A</td>
                <td>N 07˚18'22.6"</td>
                <td>W 011˚51'11.0"</td>
              </tr>
              <tr>
                <td>ST-1B</td>
                <td>N 07˚19'14.9"</td>
                <td>W 011˚51'18.5"</td>
              </tr>
              <tr>
                <td>ST-2A</td>
                <td>N 07˚19'21.9"</td>
                <td>W 011˚51'58.4"</td>
              </tr>
              <tr>
                <td>ST-2B</td>
                <td>N 07˚20'30.6"</td>
                <td>W 011˚52'45.4"</td>
              </tr>
              <tr>
                <td>ST-3A</td>
                <td>N 07˚21'06.4"</td>
                <td>W 011˚53'28.8"</td>
              </tr>
              <tr>
                <td>ST-3B</td>
                <td>N 07˚22'01.2"</td>
                <td>W 011˚53'19.5"</td>
              </tr>
              <tr>
                <td>ST-4A</td>
                <td>N 07˚22'34.8"</td>
                <td>W 011˚52'59.8"</td>
              </tr>
              <tr>
                <td>ST-4B</td>
                <td>N 07˚22'51.7"</td>
                <td>W 011˚52'45.1"</td>
              </tr>
              <tr>
                <td>Mid-Point-1</td>
                <td>N 07˚21'58.5"</td>
                <td>W 011˚53'20.7"</td>
              </tr>
              <tr>
                <td>Mid-Point-2</td>
                <td>N 07˚21'24.7"</td>
                <td>W 011˚53'30.1"</td>
              </tr>
              <tr>
                <td>Mid-Point-3</td>
                <td>N 07˚20'41.2"</td>
                <td>W 011˚53'08.7"</td>
              </tr>
              <tr>
                <td>Mid-Point-4</td>
                <td>N 07˚19'32.6"</td>
                <td>W 011˚52'19.3"</td>
              </tr>
              <tr>
                <td>Warf Gbondapi</td>
                <td>N 07˚19'10.9"</td>
                <td>W 011˚51'13.1"</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Data Analysis</title>
        <p>Water Samples for the analysis of water parameters temperature, pH, dissolved oxygen (DO), chemical oxygen demand (COD), biological oxygen demand (BOD), chloride, total alkalinity, total hardness, carbon dioxide, total dissolved solids, lead, copper, iron, chromium, cadmium, nickel, and manganese will be preserved and transported to a reputable research laboratory. For the preservation and the analysis of water samples of the water understudy, the standard methods of Trivedy &amp; Goel [<xref ref-type="bibr" rid="B28">28</xref>]; and then APHA, 2005 will be followed. Also, the results obtained will be analyzed, compared with the WHO (World Health Organization) (<bold>Table 2</bold>) and other international standards, and discussed in brief, which has to play a conclusive role in deciding the status of water quality of the river under study. These are the <italic>health-based targets</italic> for safe drinking water quality, which are often applied when assessing surface water used for human consumption:</p>
        <p>Table 2. WHO (World Health Organization)—Drinking Water Guidelines.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Parameter</bold>
                </td>
                <td>
                  <bold>WHO</bold>
                  <bold>Guideline/Permissible</bold>
                  <bold>Limit</bold>
                  <bold>(Drinking</bold>
                  <bold>Water)</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>pH</bold>
                </td>
                <td>
                  6.5 - 8.5
                  <italic>typical</italic>
                  <italic>desirable</italic>
                  <italic>range</italic>
                  (surface waters assessed similarly)
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Total</bold>
                  <bold>Dissolved</bold>
                  <bold>Solids</bold>
                  <bold>(TDS)</bold>
                </td>
                <td>≤500 mg/L desirable; extended up to ~1500 mg/L maximum acceptable in some guidelines</td>
              </tr>
              <tr>
                <td>
                  <bold>Conductivity</bold>
                </td>
                <td>No strict WHO numeric limit for surface water itself, but often interpreted as ≤750 µS/cm for potable waters based on related standards</td>
              </tr>
              <tr>
                <td>
                  <bold>Dissolved Oxygen (DO)</bold>
                </td>
                <td>≥6 mg/L is generally favorable for aquatic life (not a strict WHO guideline but widely used)</td>
              </tr>
              <tr>
                <td>
                  <bold>Nitrate (</bold>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:msubsup>
                          <mml:mrow>
                            <mml:mtext>NO</mml:mtext>
                          </mml:mrow>
                          <mml:mn>3</mml:mn>
                          <mml:mo>−</mml:mo>
                        </mml:msubsup>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                  <bold>)</bold>
                </td>
                <td>
                  ≤10 mg/L (as nitrate-N or 50 mg/L as
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:msubsup>
                          <mml:mrow>
                            <mml:mtext>NO</mml:mtext>
                          </mml:mrow>
                          <mml:mn>3</mml:mn>
                          <mml:mo>−</mml:mo>
                        </mml:msubsup>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                  ) for drinking safety
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Phosphate (</bold>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:msubsup>
                          <mml:mrow>
                            <mml:mtext>PO</mml:mtext>
                          </mml:mrow>
                          <mml:mn>4</mml:mn>
                          <mml:mrow>
                            <mml:mn>3</mml:mn>
                            <mml:mo>−</mml:mo>
                          </mml:mrow>
                        </mml:msubsup>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                  <bold>)</bold>
                </td>
                <td>WHO does not set a strict limit for phosphate, but ≤2 mg/L is often referenced for potable surface waters</td>
              </tr>
              <tr>
                <td>
                  <bold>Fluoride (F</bold>
                  <bold>⁻</bold>
                  <bold>)</bold>
                </td>
                <td>≤1.5 mg/L to protect dental/health outcomes</td>
              </tr>
              <tr>
                <td>
                  <bold>Parameter</bold>
                </td>
                <td>FAO Guideline/Acceptable Range (Irrigation)</td>
              </tr>
              <tr>
                <td>
                  <bold>pH</bold>
                </td>
                <td>6.0 - 8.5 suitable for most crops</td>
              </tr>
              <tr>
                <td>
                  <bold>TDS</bold>
                </td>
                <td>0 - 2000 mg/L acceptable for general irrigation</td>
              </tr>
              <tr>
                <td>
                  <bold>Electrical</bold>
                  <bold>Conductivity (EC)</bold>
                </td>
                <td>0 - 3 dS/m (0 - 3000 µS/cm) generally suitable; lower is better to avoid salinity stress</td>
              </tr>
              <tr>
                <td>
                  <bold>Nitrate-N</bold>
                  <bold>(NO</bold>
                  <bold>
                    <sub>3</sub>
                  </bold>
                  <bold>-N)</bold>
                </td>
                <td>0 - 10 mg/L typical desirable range for irrigation water</td>
              </tr>
              <tr>
                <td>
                  <bold>Ammonium-N (NH</bold>
                  <bold>
                    <sub>4</sub>
                  </bold>
                  <bold>-N)</bold>
                </td>
                <td>0 - 5 mg/L generally acceptable</td>
              </tr>
              <tr>
                <td>
                  <bold>Phosphate-P (PO</bold>
                  <bold>
                    <sub>4</sub>
                  </bold>
                  <bold>-P)</bold>
                </td>
                <td>0 - 2 mg/L acceptable for most irrigated crops</td>
              </tr>
              <tr>
                <td>
                  <bold>Potassium (K</bold>
                  <bold>
                    <sup>+</sup>
                  </bold>
                  <bold>)</bold>
                </td>
                <td>0 - 2 mg/L typical guideline</td>
              </tr>
              <tr>
                <td>
                  <bold>Parameter</bold>
                </td>
                <td>
                  <bold>FAO Guideline/Acceptable Range (Irrigation)</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>pH</bold>
                </td>
                <td>6.0 - 8.5 suitable for most crops</td>
              </tr>
              <tr>
                <td>
                  <bold>TDS</bold>
                </td>
                <td>0 - 2000 mg/L acceptable for general irrigation</td>
              </tr>
              <tr>
                <td>
                  <bold>Electrical</bold>
                  <bold>Conductivity (EC)</bold>
                </td>
                <td>0 - 3 dS/m (0 - 3000 µS/cm) generally suitable; lower is better to avoid salinity stress</td>
              </tr>
              <tr>
                <td>
                  <bold>Nitrate-N</bold>
                  <bold>(NO</bold>
                  <bold>
                    <sub>3</sub>
                  </bold>
                  <bold>-N)</bold>
                </td>
                <td>0 - 10 mg/L typical desirable range for irrigation water</td>
              </tr>
              <tr>
                <td>
                  <bold>Ammonium-N (NH</bold>
                  <bold>
                    <sub>4</sub>
                  </bold>
                  <bold>-N)</bold>
                </td>
                <td>0 - 5 mg/L generally acceptable</td>
              </tr>
              <tr>
                <td>
                  <bold>Phosphate-P (PO</bold>
                  <bold>
                    <sub>4</sub>
                  </bold>
                  <bold>-P)</bold>
                </td>
                <td>0 - 2 mg/L acceptable for most irrigated crops</td>
              </tr>
              <tr>
                <td>
                  <bold>Potassium (K</bold>
                  <bold>
                    <sup>+</sup>
                  </bold>
                  <bold>)</bold>
                </td>
                <td>0 - 2 mg/L typical guideline</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results and Discussion</title>
      <sec id="sec3dot1">
        <title>3.1. Physical Parameters of Wanjei River Water Collected from Selected Sites</title>
        <p>Significant variations (p &lt; 0.05) exist among water samples and sampling regimes for the physical parameters (pH, temperature, TDS and electrical conductivity) assessed at four different sites (<bold>Table 3</bold>). The highest mean value (pH = 8.57) of pH was found at Upper stream during February 2022 sampling, while the lowest mean value of 6.70 at same location was exhibited during October 2021 sampling regime. The pH values of the four locations and the sampling regimes were within the standard level of pH for rivers (pH = 6.5 - 8.5), except for the pH value of 8.57 obtained at the upper stream for sampling in February 2022. These values are within the permissible limit of WHO and FAO set for drinking and irrigation purposes, respectively. These findings are similar to those of Shamsur <italic>et</italic><italic>al.</italic> [<xref ref-type="bibr" rid="B29">29</xref>], who noted the highest mean pH value of 6.68 in Tatholia Union and lowest mean pH value of 6.52 in Gaglajur Union, Bangladesh. Jesmin [<xref ref-type="bibr" rid="B30">30</xref>], also found pH values of groundwater in Gaibandha aquifers ranging from 6.73 - 8.66 indicating slightly acidic to alkaline water. Temperatures across sites and sampling regimes ranged from 26.5˚C (ST-2 during February 2022) to 32.3˚C (ST-1 during December 2021) sampling regime and were found within the permissible limit of WHO standards (WHO, 2021). This result falls below the limit of other studies, that was reported to be within the range of 19.0 to 23.9˚C [<xref ref-type="bibr" rid="B31">31</xref>]. Thus, the average temperature of the river is favorable for aquatic ecosystem. Since it influences both the physical and chemical properties of the water as well as the organisms, temperature is a crucial component for the aquatic ecosystem. Total Dissolved Solid (TDS) values across sites and sampling regimes ranged from 28.06 (ST-4 during October 2021) to 52.74 (ST-3 and ST-2 during December 2021 and April 2022) sampling regimes. These values are far below the WHO and FAO standards level of TDS for rivers (500 and 2000 mg/L) respectively. These findings are also below the figures 120.190 mg/L reported by Alam [<xref ref-type="bibr" rid="B32">32</xref>]. Total dissolved solids indicate the salinity behavior of water [<xref ref-type="bibr" rid="B33">33</xref>]. Water containing more than 500 mg/L of TDS is not considered as desirable for drinking water supplies and water with high TDS may taste bitter, salty, or metallic and may have unpleasant odors which are undesirable or harmful to human and aquatic life [<xref ref-type="bibr" rid="B31">31</xref>]. </p>
        <p>Electrical conductivity (EC) values across sites and sampling regimes ranged from 124.00 µs/cm (ST-4 during July 2022) to 145.20 µs/cm (ST-3 during December 2021) sampling regime that was within the standard level of EC for river (EC = 50 - 1000 µs/cm). The ability of water to transmit electric current is referred to electrical conductivity and it is a method for determining the purity of water (Sakthivadivel <italic>et</italic><italic>al.</italic> [<xref ref-type="bibr" rid="B34">34</xref>]. The presence of ions, their overall concentration, mobility, valence, relative concentrations, and measuring temperature are all known to be affected by this ability. Findings of this study indicate low mineralization. The definitions of mineralization levels vary from country to country [<xref ref-type="bibr" rid="B35">35</xref>]. For this study, low mineralization indicates less than 200 µS/cm, moderate mineralization indicates between 200 to 700 µS/cm, high mineralization indicates between 700 to 2500 µS/cm and super high mineralization (medicinal water) indicates more than 2500 µS/cm. The EC values of the present study exhibited low salinity compared to the EC values (255 to 497 µS/cm) found by Halim [<xref ref-type="bibr" rid="B36">36</xref>] that signified medium salinity of their water sampled across seasons.</p>
        <p>Table 3. Physical parameters for water samples collected from selected sites.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>
                </td>
                <td colspan="6">Sampling regime</td>
              </tr>
              <tr>
                <td>
                </td>
                <td>Oct.-2021</td>
                <td>Dec.-2021</td>
                <td>Feb.-2022</td>
                <td>Apr.-2022</td>
                <td>Jun.-2022</td>
                <td>Jul.-2022</td>
              </tr>
              <tr>
                <td>Site</td>
                <td>pH</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>6.70</td>
                <td>7.47</td>
                <td>8.57</td>
                <td>7.08</td>
                <td>7.50</td>
                <td>6.77</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>7.17</td>
                <td>7.07</td>
                <td>7.96</td>
                <td>7.45</td>
                <td>7.58</td>
                <td>6.83</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>7.23</td>
                <td>7.13</td>
                <td>7.67</td>
                <td>7.13</td>
                <td>7.67</td>
                <td>7.57</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>7.43</td>
                <td>8.10</td>
                <td>7.24</td>
                <td>6.95</td>
                <td>7.07</td>
                <td>8.33</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>7.13</td>
                <td>7.44</td>
                <td>7.86</td>
                <td>7.16</td>
                <td>7.45</td>
                <td>7.38</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.35</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.43*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>0.85*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>7.0</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>6.5 - 8.5</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td>Temperature (˚C)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>31.3</td>
                <td>32.3</td>
                <td>28.1</td>
                <td>28.5</td>
                <td>29.8</td>
                <td>30.3</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>31.5</td>
                <td>31.2</td>
                <td>26.5</td>
                <td>26.8</td>
                <td>31.5</td>
                <td>31.5</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>29.0</td>
                <td>30.4</td>
                <td>28.2</td>
                <td>28.8</td>
                <td>29.0</td>
                <td>29.0</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>30.3</td>
                <td>30.6</td>
                <td>27.0</td>
                <td>30.0</td>
                <td>29.3</td>
                <td>29.3</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>30.5</td>
                <td>31.1</td>
                <td>27.4</td>
                <td>28.5</td>
                <td>29.9</td>
                <td>30.0</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.5*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.6*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>1.2*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>2.5</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>-</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td>TDS (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>33.02</td>
                <td>49.43</td>
                <td>51.91</td>
                <td>52.51</td>
                <td>47.91</td>
                <td>31.69</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>32.38</td>
                <td>50.71</td>
                <td>51.08</td>
                <td>52.74</td>
                <td>47.74</td>
                <td>33.29</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>28.07</td>
                <td>52.74</td>
                <td>51.42</td>
                <td>51.95</td>
                <td>44.92</td>
                <td>36.59</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>28.06</td>
                <td>45.06</td>
                <td>50.87</td>
                <td>52.34</td>
                <td>44.33</td>
                <td>34.96</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>30.38</td>
                <td>49.48</td>
                <td>51.32</td>
                <td>52.39</td>
                <td>46.23</td>
                <td>34.13</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>2.28</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>2.79*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>5.57ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>7.7</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>1000</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Electrical conductivitySite</td>
                <td>EC (µS/cm)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>130.13</td>
                <td>136.27</td>
                <td>129.17</td>
                <td>132.63</td>
                <td>129.83</td>
                <td>128.80</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>128.77</td>
                <td>135.67</td>
                <td>140.33</td>
                <td>132.33</td>
                <td>128.20</td>
                <td>128.20</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>127.87</td>
                <td>145.20</td>
                <td>140.87</td>
                <td>135.20</td>
                <td>129.87</td>
                <td>128.87</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>126.87</td>
                <td>142.00</td>
                <td>140.33</td>
                <td>136.03</td>
                <td>132.67</td>
                <td>124.00</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>128.41</td>
                <td>139.78</td>
                <td>137.68</td>
                <td>134.05</td>
                <td>130.14</td>
                <td>127.47</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>1.31*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>1.61*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>3.21*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>1.5</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>2500</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>MCL = maximum contaminant level accepted, LSD = least significant difference, s = site, sreg = sampling regime.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Chemical Parameters for Wanjei River Collected from Selected Sites</title>
        <p>3.2.1. Major Ions and Minerals Assessed</p>
        <p>Sodium (Na<sup>+</sup>) values across sites and sampling regimes ranged between 26.16 mg/L (ST-3 during June 2022) and 31.14 mg/L (ST-1 during December 2021) sampling regimes (<bold>Table 4</bold>). These values are within the standard level of sodium for both general use of water and for drinking purposes (Na<sup>+</sup> = 200 mg/L). Potassium (K<sup>+</sup>) values across sites and sampling regimes ranged between 28.60 mg/L (ST-1 during June 2022) and 31.83 mg/L (ST-3 during October 2021) sampling regimes (<bold>Table 4</bold>). These values are above the standard level of potassium for drinking (K<sup>+</sup> =&lt; 6.0 mg/L). Magnesium (Mg<sup>2+</sup>) values across sites and sampling regimes ranged between 15.58 mg/L (ST-4 during December 2021) and 22.45 mg/L (ST-4 during April 2022) sampling regimes (<bold>Table 4</bold>). These values are within the standard level of magnesium for drinking (Mg<sup>2+</sup> = 80 mg/L). Calcium (Ca<sup>2+</sup>) values across sites and sampling regimes ranged from 47.86 mg/L (ST-3 during June 2022) to 63.78 mg/L (ST-1 during February 2022) sampling regimes (<bold>Table 4</bold>). These values are within the FAO and WHO permissible level (800 mg/L and 100 mg/L respectively) for drinking water and irrigation purposes. The highest amount of calcium recorded in water samples during dry season was 63.78 mg/L in February at site-1 could possibly be as a result of the close proximity of the site to the Wharf or jetty, hence addition of waste water and introduction of sewage water along with rain could be responsible for the increase in amount of calcium [<xref ref-type="bibr" rid="B37">37</xref>]. The lowest amount of calcium in water was recorded during raining season, possibly due to calcium absorbed by many organisms for shell construction, bone building and flora precipitation of lime [<xref ref-type="bibr" rid="B38">38</xref>]. </p>
        <p>Table 4. Chemical ions and minerals in water samples collected from selected sites.</p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td>
                </td>
                <td colspan="6">Sampling regime</td>
              </tr>
              <tr>
                <td>
                </td>
                <td>Oct.-2021</td>
                <td>Dec.-2021</td>
                <td>Feb.-2022</td>
                <td>Apr.-2022</td>
                <td>Jun.-2022</td>
                <td>Jul.-2022</td>
              </tr>
              <tr>
                <td>Site</td>
                <td>Sodium (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>28.06</td>
                <td>28.49</td>
                <td>26.38</td>
                <td>27.14</td>
                <td>26.16</td>
                <td>27.16</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>28.13</td>
                <td>28.89</td>
                <td>28.54</td>
                <td>28.82</td>
                <td>28.41</td>
                <td>27.90</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>29.45</td>
                <td>29.68</td>
                <td>29.82</td>
                <td>29.49</td>
                <td>29.08</td>
                <td>29.68</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>29.94</td>
                <td>31.14</td>
                <td>26.99</td>
                <td>30.33</td>
                <td>27.94</td>
                <td>30.17</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>28.9</td>
                <td>29.55</td>
                <td>27.93</td>
                <td>28.95</td>
                <td>27.90</td>
                <td>28.73</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>1.06*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>1.29</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>2.59ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>5.5</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>200</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td>Potassium (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>29.20</td>
                <td>29.13</td>
                <td>28.77</td>
                <td>29.50</td>
                <td>28.60</td>
                <td>28.93</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>31.03</td>
                <td>30.40</td>
                <td>30.97</td>
                <td>30.63</td>
                <td>30.30</td>
                <td>30.97</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>31.83</td>
                <td>31.20</td>
                <td>30.93</td>
                <td>31.20</td>
                <td>30.80</td>
                <td>31.03</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>30.43</td>
                <td>29.23</td>
                <td>30.27</td>
                <td>30.46</td>
                <td>29.10</td>
                <td>30.43</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>30.62</td>
                <td>29.99</td>
                <td>30.23</td>
                <td>30.45</td>
                <td>29.70</td>
                <td>30.34</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.91*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>1.12ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>2.24ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>4.5</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>&lt;6.0</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td>Magnesium (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>18.80</td>
                <td>18.06</td>
                <td>19.63</td>
                <td>19.26</td>
                <td>17.60</td>
                <td>18.10</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>18.73</td>
                <td>18.13</td>
                <td>18.90</td>
                <td>20.73</td>
                <td>18.07</td>
                <td>18.73</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>18.09</td>
                <td>17.27</td>
                <td>17.47</td>
                <td>21.80</td>
                <td>17.14</td>
                <td>17.59</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>18.49</td>
                <td>15.58</td>
                <td>18.45</td>
                <td>22.45</td>
                <td>15.78</td>
                <td>16.92</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>18.53</td>
                <td>17.26</td>
                <td>18.61</td>
                <td>21.06</td>
                <td>17.15</td>
                <td>17.84</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.39*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.48*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>0.95*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>3.1</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>80</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <italic>Site</italic>
                </td>
                <td>
                  <italic>Calcium</italic>
                  (mg/L)
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <italic>ST-</italic>
                  1
                </td>
                <td>59.48</td>
                <td>57.42</td>
                <td>63.78</td>
                <td>59.55</td>
                <td>57.42</td>
                <td>58.75</td>
              </tr>
              <tr>
                <td>
                  <italic>ST-</italic>
                  2
                </td>
                <td>60.77</td>
                <td>48.43</td>
                <td>59.30</td>
                <td>58.60</td>
                <td>48.27</td>
                <td>58.61</td>
              </tr>
              <tr>
                <td>
                  <italic>ST-</italic>
                  3
                </td>
                <td>61.60</td>
                <td>48.23</td>
                <td>58.20</td>
                <td>58.20</td>
                <td>47.86</td>
                <td>59.53</td>
              </tr>
              <tr>
                <td>
                  <italic>ST-</italic>
                  4
                </td>
                <td>61.83</td>
                <td>48.90</td>
                <td>59.94</td>
                <td>58.80</td>
                <td>48.60</td>
                <td>58.33</td>
              </tr>
              <tr>
                <td>
                  <italic>Mean</italic>
                </td>
                <td>60.92</td>
                <td>50.74</td>
                <td>60.30</td>
                <td>58.79</td>
                <td>50.54</td>
                <td>58.80</td>
              </tr>
              <tr>
                <td>
                  <italic>LSDsite</italic>
                </td>
                <td>0.99*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <italic>LSDsreg</italic>
                </td>
                <td>1.21*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <italic>LSDs</italic>
                  *
                  <italic>sreg</italic>
                </td>
                <td>2.42*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <italic>CV</italic>
                  (%)
                </td>
                <td>2.6</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <italic>MCL</italic>
                </td>
                <td>180</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td colspan="2">
                  CaCO
                  <sub>3</sub>
                  (mg/L)
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>33.47</td>
                <td>32.00</td>
                <td>30.10</td>
                <td>33.52</td>
                <td>30.33</td>
                <td>30.67</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>30.03</td>
                <td>30.09</td>
                <td>29.35</td>
                <td>32.98</td>
                <td>29.36</td>
                <td>29.33</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>28.92</td>
                <td>28.62</td>
                <td>29.18</td>
                <td>32.75</td>
                <td>28.42</td>
                <td>28.75</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>28.21</td>
                <td>29.84</td>
                <td>30.77</td>
                <td>33.11</td>
                <td>29.77</td>
                <td>28.77</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>30.15</td>
                <td>30.14</td>
                <td>29.85</td>
                <td>33.09</td>
                <td>29.47</td>
                <td>29.38</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.69*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.85*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>1.69*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>3.4</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>≤300</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td colspan="2">Sulphate (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>6.75</td>
                <td>6.85</td>
                <td>7.88</td>
                <td>7.55</td>
                <td>6.55</td>
                <td>6.93</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>7.62</td>
                <td>7.45</td>
                <td>7.46</td>
                <td>7.48</td>
                <td>7.30</td>
                <td>7.62</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>7.41</td>
                <td>7.15</td>
                <td>7.48</td>
                <td>6.85</td>
                <td>7.48</td>
                <td>7.47</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>7.68</td>
                <td>7.12</td>
                <td>8.85</td>
                <td>7.41</td>
                <td>7.51</td>
                <td>7.88</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>7.37</td>
                <td>7.14</td>
                <td>7.92</td>
                <td>7.32</td>
                <td>7.21</td>
                <td>7.48</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.21*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.26*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>0.52*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>4.2</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>250</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td colspan="2">Chloride (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>5.57</td>
                <td>4.58</td>
                <td>4.80</td>
                <td>7.53</td>
                <td>4.80</td>
                <td>5.17</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>4.83</td>
                <td>4.52</td>
                <td>5.40</td>
                <td>6.73</td>
                <td>4.40</td>
                <td>4.83</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>5.37</td>
                <td>4.77</td>
                <td>5.00</td>
                <td>6.27</td>
                <td>4.67</td>
                <td>5.10</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>5.70</td>
                <td>4.82</td>
                <td>5.60</td>
                <td>5.60</td>
                <td>4.60</td>
                <td>4.70</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>5.37</td>
                <td>4.67</td>
                <td>5.20</td>
                <td>6.53</td>
                <td>4.62</td>
                <td>4.95</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.28ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.34*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>0.68*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>7.9</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>&lt;250</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td>Fluoride (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>1.73</td>
                <td>1.43</td>
                <td>1.25</td>
                <td>1.18</td>
                <td>1.26</td>
                <td>1.66</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>1.45</td>
                <td>1.47</td>
                <td>2.01</td>
                <td>1.18</td>
                <td>1.15</td>
                <td>1.38</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>1.54</td>
                <td>1.82</td>
                <td>1.86</td>
                <td>1.89</td>
                <td>1.09</td>
                <td>1.21</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>1.76</td>
                <td>1.69</td>
                <td>1.83</td>
                <td>1.93</td>
                <td>1.73</td>
                <td>1.86</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>1.62</td>
                <td>1.60</td>
                <td>1.74</td>
                <td>1.55</td>
                <td>1.31</td>
                <td>1.53</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.10*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.12*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>0.25*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>9.6</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>&lt;1.5</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>MCL = maximum contaminant level accepted, LSD = least significant difference, s = site, sreg = sampling regime.</p>
        <p>Calcium carbonate (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> CaCO </mml:mtext></mml:mrow><mml:mn> 3 </mml:mn><mml:mo> + </mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> ) values across sites and sampling regimes ranged between 28.21 mg/L (ST-4 during October 2021) and 33.52 mg/L (ST-1 during April 2022) sampling regimes (<bold>Table 3</bold>). These values are within the standard level of calcium carbonate for drinking (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> CaCO </mml:mtext></mml:mrow><mml:mn> 3 </mml:mn><mml:mo> + </mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> ≤ 300 mg/L). </p>
        <p>Sulphate (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> SO </mml:mtext></mml:mrow><mml:mn> 4 </mml:mn><mml:mrow><mml:mn> 2 </mml:mn><mml:mo> + </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> ) values across sites and sampling regimes ranged between 6.55 mg/L (ST-1 during June 2022) and 8.85 mg/L (ST-4 during February 2022) sampling regimes (<bold>Table 3</bold>). These values are within the standard level of sulphate for drinking (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> SO </mml:mtext></mml:mrow><mml:mn> 4 </mml:mn><mml:mrow><mml:mn> 2 </mml:mn><mml:mo> + </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> = 250 mg/L). </p>
        <p>Chloride (Cl<sup>−</sup>) values across sites and sampling regimes ranged between 4.40 mg/L (ST-2 during June 2022) and 7.53 mg/L (ST-1 during April 2022) sampling regimes (<bold>Table 3</bold>). These values are within the standard level of chloride for drinking (Cl<sup>−</sup> = &lt;250 mg/L). These findings are similar to those range reported by Jindal and Sharma (2011). Fluoride (Fl<sup>−</sup>) values across sites and sampling regimes ranged between 1.09 mg/L (ST-4 during June 2022) and 2.01 mg/L (ST-3 during February 2022) sampling regimes (<bold>Table 3</bold>). At site ST-1, sampling regimes in December 2021 (1.43 mg/l), February 2022 (1.25 mg/l), April 2022 (1.18 mg/l), and June 2022 (1.43 mg/l) are within the standard level of fluoride for drinking (Fl<sup>−</sup> &lt; 1.5 mg/L). Similarly, at ST-2, sampling regimes Oct.-2021 (1.45 mg/l), Dec.-2021 (1.47 mg/l), Apr.-2022 (1.18 mg/l), Jun.-2022 (1.15 mg/l), and Jul.-2022 (1.38 mg/l); and at ST-3, Jun.-2022 (1.09 mg/l) and Jul.-2022 (1.21 mg/l) are within the standard level of fluoride for drinking and irrigation purposes. </p>
        <p>3.2.2. Chemical Nutrients Assessed </p>
        <p>Phosphate (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> PO </mml:mtext></mml:mrow><mml:mn> 4 </mml:mn><mml:mrow><mml:mn> 3 </mml:mn><mml:mo> − </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> ) values across sites and sampling regimes ranged between 0.40 mg/L (ST-1 during June 2022) and 4.43 mg/L (ST-1 during February 2022) sampling regimes (<bold>Table 5</bold>). These values are above the standard level of phosphate for drinking (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> PO </mml:mtext></mml:mrow><mml:mn> 4 </mml:mn><mml:mrow><mml:mn> 3 </mml:mn><mml:mo> − </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> = 2 mg/L), which may be considered to indicate pollution or increased risk of eutrophication. Site ST-2 had consistently phosphate values within the standard level of phosphate for drinking (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> PO </mml:mtext></mml:mrow><mml:mn> 4 </mml:mn><mml:mrow><mml:mn> 3 </mml:mn><mml:mo> − </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> = 2 mg/L). Sampling at Feb.-2022 for sites ST-1 (4.43 mg/l), ST-3 (2.53 mg/l) and ST-4 (2.57 mg/l) exhibited higher values above the accepted standard level of phosphate for drinking. </p>
        <p>Nitrate (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> NO </mml:mtext></mml:mrow><mml:mn> 3 </mml:mn><mml:mo> − </mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> ) values across sites and sampling regimes ranged between 21.90 mg/L (ST-1 during June 2022) and 27.93 mg/L (ST-4 during December 2021) sampling regimes (<bold>Table 5</bold>). These values are above the standard level of nitrate for drinking (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> NO </mml:mtext></mml:mrow><mml:mn> 3 </mml:mn><mml:mo> − </mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> = &lt;10 mg/L). Ammonia (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> NH </mml:mtext></mml:mrow><mml:mn> 3 </mml:mn><mml:mrow><mml:mn> 2 </mml:mn><mml:mo> + </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> ) values across sites and sampling regimes ranged from 0.13 mg/L (ST-3 during June 2022) to 2.63 mg/L (ST-4 during December 2021) sampling regimes (<bold>Table 5</bold>). In this present study, the measured value of ammonia is similar to that done by Mezgebe <italic>et</italic><italic>al.</italic> [<xref ref-type="bibr" rid="B39">39</xref>] who obtained a range of 0.16 ± 0.01 to 0.43 ± 0.19 mg/L. The statistical analysis showed least significance differences among the studied sites. Thus, our experimental findings showed that the amount of ammonia was within the permissible limit of FAO (5 mg/L) for drinking and irrigation purposes.</p>
        <p>Table 5. Chemical Nutrients in water samples collected from selected sites.</p>
        <table-wrap id="tbl5">
          <label>Table 5</label>
          <table>
            <tbody>
              <tr>
                <td>
                </td>
                <td>Sampling regime</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                </td>
                <td>Oct.-2021</td>
                <td>Dec.-2021</td>
                <td>Feb.-2022</td>
                <td>Apr.-2022</td>
                <td>Jun.-2022</td>
                <td>Jul.-2022</td>
              </tr>
              <tr>
                <td>Site</td>
                <td>Phosphate (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>0.93</td>
                <td>1.67</td>
                <td>4.43</td>
                <td>1.97</td>
                <td>0.40</td>
                <td>0.70</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>1.57</td>
                <td>1.43</td>
                <td>1.73</td>
                <td>1.60</td>
                <td>0.77</td>
                <td>1.53</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>1.70</td>
                <td>1.40</td>
                <td>2.53</td>
                <td>0.87</td>
                <td>0.67</td>
                <td>1.27</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>1.67</td>
                <td>1.60</td>
                <td>2.57</td>
                <td>2.00</td>
                <td>0.77</td>
                <td>1.60</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>1.47</td>
                <td>1.52</td>
                <td>2.82</td>
                <td>1.61</td>
                <td>0.65</td>
                <td>1.27</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.79</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.97*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>1.94ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>75.8</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>2</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td>Nitrate (mg/l)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>25.30</td>
                <td>25.96</td>
                <td>25.48</td>
                <td>25.23</td>
                <td>21.90</td>
                <td>23.23</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>26.26</td>
                <td>26.49</td>
                <td>25.08</td>
                <td>27.49</td>
                <td>25.36</td>
                <td>26.59</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>25.83</td>
                <td>27.50</td>
                <td>25.99</td>
                <td>29.36</td>
                <td>25.37</td>
                <td>25.37</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>24.93</td>
                <td>27.93</td>
                <td>26.27</td>
                <td>29.59</td>
                <td>22.77</td>
                <td>24.50</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>25.58</td>
                <td>26.97</td>
                <td>25.71</td>
                <td>27.92</td>
                <td>23.85</td>
                <td>24.92</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.63*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.77*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>1.55*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>3.6</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>&lt;10</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td>Ammonia (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>2.10</td>
                <td>2.20</td>
                <td>1.20</td>
                <td>0.71</td>
                <td>0.19</td>
                <td>1.60</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>1.32</td>
                <td>2.50</td>
                <td>0.87</td>
                <td>1.18</td>
                <td>0.16</td>
                <td>0.83</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>1.81</td>
                <td>2.15</td>
                <td>1.23</td>
                <td>1.38</td>
                <td>0.13</td>
                <td>1.45</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>2.30</td>
                <td>2.63</td>
                <td>0.95</td>
                <td>0.95</td>
                <td>0.19</td>
                <td>2.12</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>1.88</td>
                <td>2.37</td>
                <td>1.06</td>
                <td>1.05</td>
                <td>0.17</td>
                <td>1.50</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.30</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.36*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>0.73ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>33.1</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>-</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>MCL = maximum contaminant level accepted, LSD = least significant difference, s = site, sreg = sampling regime.</p>
        <p>3.2.3. Dissolved Gases Assessed</p>
        <p>Important variations exist in the chemical content of water sampled across sites and various sampling regimes. Dissolved oxygen (DO) and biological oxygen demand (BOD) significantly (p &lt; 0.05) differed among water samples assessed across sites and sampling regimes. The DO values across sites and sampling regimes ranged from 6.54 mg/L (ST-3 during June 2022) to 8.72 mg/L (ST-4 during October 2021) sampling regime that was above the standard level of DO for rivers and drinking water (WHO, 2008) (<bold>Table 6</bold>). The maximum value recorded in ST-4 may be due to the self-purification of the water along the course of the river. This is similar to study done by Mezgebe <italic>et</italic><italic>al</italic>. [<xref ref-type="bibr" rid="B39">39</xref>] who recorded 10.2 mg/L in Tsaeda Agam River in Mekelle City, Tigray, Ethiopia </p>
        <p>The oxygen necessary for the microorganism to undertake the biological breakdown of dissolved solids or organic materials in the wastewater under aerobic circumstances is known as the biochemical oxygen demand [<xref ref-type="bibr" rid="B40">40</xref>][<xref ref-type="bibr" rid="B41">41</xref>]. The biochemical oxygen demand reported from water samples from Wanjei River ranged between 1.21 mg/L to 2.18 mg/L. The highest demand for oxygen in the water was recorded during the dry season (at ST-3 in February 2022) due to the possible addition of high amount of waste from the surrounding and the addition of organic waste in river by certain human activities including are not limited to farming and pepper garden which also be responsible for the increase in BOD [<xref ref-type="bibr" rid="B42">42</xref>].</p>
        <p>Table 6. Dissolved gases in water samples collected from selected sites.</p>
        <table-wrap id="tbl6">
          <label>Table 6</label>
          <table>
            <tbody>
              <tr>
                <td>
                </td>
                <td colspan="6">Sampling regime</td>
              </tr>
              <tr>
                <td>
                </td>
                <td>Oct.-2021</td>
                <td>Dec.-2021</td>
                <td>Feb.-2022</td>
                <td>Apr.-2022</td>
                <td>Jun.-2022</td>
                <td>Jul.-2022</td>
              </tr>
              <tr>
                <td>Site</td>
                <td>DO (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>6.93</td>
                <td>8.53</td>
                <td>7.23</td>
                <td>7.87</td>
                <td>6.87</td>
                <td>6.83</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>7.39</td>
                <td>8.24</td>
                <td>8.45</td>
                <td>7.45</td>
                <td>7.24</td>
                <td>7.24</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>7.75</td>
                <td>6.93</td>
                <td>7.34</td>
                <td>7.67</td>
                <td>6.54</td>
                <td>7.54</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>8.72</td>
                <td>7.62</td>
                <td>6.96</td>
                <td>7.39</td>
                <td>7.30</td>
                <td>8.39</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>7.70</td>
                <td>7.83</td>
                <td>7.49</td>
                <td>7.59</td>
                <td>6.99</td>
                <td>7.50</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.35*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.43*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>0.85*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>6.9</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>4-6</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Site</td>
                <td>BOD (mg/L)</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>ST-1</td>
                <td>1.73</td>
                <td>1.83</td>
                <td>2.09</td>
                <td>1.79</td>
                <td>1.69</td>
                <td>1.57</td>
              </tr>
              <tr>
                <td>ST-2</td>
                <td>1.68</td>
                <td>1.70</td>
                <td>2.00</td>
                <td>1.76</td>
                <td>1.24</td>
                <td>1.47</td>
              </tr>
              <tr>
                <td>ST-3</td>
                <td>1.58</td>
                <td>1.61</td>
                <td>2.18</td>
                <td>1.81</td>
                <td>1.21</td>
                <td>1.41</td>
              </tr>
              <tr>
                <td>ST-4</td>
                <td>1.58</td>
                <td>1.60</td>
                <td>1.87</td>
                <td>1.87</td>
                <td>1.47</td>
                <td>1.58</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>1.64</td>
                <td>1.69</td>
                <td>2.03</td>
                <td>1.81</td>
                <td>1.40</td>
                <td>1.51</td>
              </tr>
              <tr>
                <td>LSDsite</td>
                <td>0.14ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDsreg</td>
                <td>0.17*</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>LSDs*sreg</td>
                <td>0.33ns</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>CV (%)</td>
                <td>12.1</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>&lt;2.0</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>MCL = maximum contaminant level accepted, LSD = least significant difference, s = site, sreg = sampling regime.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Conclusion and Recommendation</title>
      <p>The study evaluated the physicochemical quality of Wanjei River across four sites and multiple seasons. Most physical parameters (pH, temperature, TDS, and electrical conductivity) were within WHO and FAO permissible limits, indicating generally good water quality with low mineralization and salinity. Major ions such as sodium, calcium, magnesium, chloride, sulphate, and calcium carbonate were also within acceptable standards; however, potassium levels consistently exceeded drinking water limits, and fluoride occasionally approached or exceeded recommended values. Nutrient analysis revealed concerns, with phosphate exceeding permissible limits at some sites during the dry season and nitrate levels consistently above WHO standards across all sites, posing potential health risks. Despite this, high dissolved oxygen and low BOD values indicate good aeration, low organic pollution, and strong self-purification capacity of the river. Hence, while the river remains largely suitable for use, increasing nutrient and potassium levels reflect growing anthropogenic pressures that could threaten water quality if unmanaged. Key recommendations include regular water quality monitoring, control of agricultural runoff, improved wastewater treatment, public awareness on safe water use, strengthened regulatory enforcement, and further research incorporating microbiological and heavy metal assessments.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <label>1.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Bhagwat, V.R. (2019) Safety of Water Used in Food Production. In: Singh, R.L. and Mondal, S., Eds., <italic>Food Safety and Human Health</italic>, Elsevier, 219-247. https://doi.org/10.1016/b978-0-12-816333-7.00009-6 <pub-id pub-id-type="doi">10.1016/b978-0-12-816333-7.00009-6</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/b978-0-12-816333-7.00009-6">https://doi.org/10.1016/b978-0-12-816333-7.00009-6</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Bhagwat, V.R.</string-name>
              <string-name>Singh, R.L.</string-name>
              <string-name>Mondal, S.</string-name>
              <string-name>Health, E</string-name>
            </person-group>
            <year>2019</year>
            <article-title>Safety of Water Used in Food Production</article-title>
            <source>In: Singh</source>
            <volume>219</volume>
            <pub-id pub-id-type="doi">10.1016/b978-0-12-816333-7.00009-6</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B2">
        <label>2.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">David, L.O., Aigbavboa, C., Nwulu, N. and Adepoju, O.O. (2024) General Description of Water, Energy, and Food Resources. In: David, L.O., Aigbavboa, C., <italic>et al</italic>., Eds., <italic>Gr</italic><italic>een Energy and Technology</italic>, Springer, 21-61. https://doi.org/10.1007/978-3-031-72833-4_2 <pub-id pub-id-type="doi">10.1007/978-3-031-72833-4_2</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/978-3-031-72833-4_2">https://doi.org/10.1007/978-3-031-72833-4_2</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>David, L.O.</string-name>
              <string-name>Aigbavboa, C.</string-name>
              <string-name>Nwulu, N.</string-name>
              <string-name>Adepoju, O.O.</string-name>
              <string-name>Water, E</string-name>
              <string-name>David, L.O.</string-name>
              <string-name>Aigbavboa, C.</string-name>
              <string-name>Technology, S</string-name>
            </person-group>
            <year>2024</year>
            <article-title>General Description of Water, Energy, and Food Resources</article-title>
            <source>In: David</source>
            <volume>21</volume>
            <pub-id pub-id-type="doi">10.1007/978-3-031-72833-4_2</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B3">
        <label>3.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Kılıç, Z. (2020) The Importance of Water and Conscious Use of Water. <italic>International Journal of Hydrology</italic>, 4, 239-241. https://doi.org/10.15406/ijh.2020.04.00250 <pub-id pub-id-type="doi">10.15406/ijh.2020.04.00250</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.15406/ijh.2020.04.00250">https://doi.org/10.15406/ijh.2020.04.00250</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <year>2020</year>
            <article-title>The Importance of Water and Conscious Use of Water</article-title>
            <source>International Journal of Hydrology</source>
            <volume>4</volume>
            <pub-id pub-id-type="doi">10.15406/ijh.2020.04.00250</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B4">
        <label>4.</label>
        <citation-alternatives>
          <mixed-citation publication-type="thesis">Yadav, A.K. (2016) Physicochemical Studies on Assessment of Ground Water Quality of Kota District. Doctoral Dissertation, University of Kota.</mixed-citation>
          <element-citation publication-type="thesis">
            <person-group person-group-type="author">
              <string-name>Yadav, A.K.</string-name>
              <string-name>Dissertation, U</string-name>
            </person-group>
            <year>2016</year>
            <article-title>Physicochemical Studies on Assessment of Ground Water Quality of Kota District</article-title>
            <source>Doctoral Dissertation</source>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B5">
        <label>5.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Ezugwu, C.N. and Apeh, S. (2017) Ground Water and Surface Water as One Resource: Connectivity and Interaction. <italic>IOSR Journal of Mechanical and Civil Engineering</italic>, 14, 54-59. https://doi.org/10.9790/1684-1403075459 <pub-id pub-id-type="doi">10.9790/1684-1403075459</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.9790/1684-1403075459">https://doi.org/10.9790/1684-1403075459</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Ezugwu, C.N.</string-name>
              <string-name>Apeh, S.</string-name>
            </person-group>
            <year>2017</year>
            <article-title>Ground Water and Surface Water as One Resource: Connectivity and Interaction</article-title>
            <source>IOSR Journal of Mechanical and Civil Engineering</source>
            <volume>14</volume>
            <pub-id pub-id-type="doi">10.9790/1684-1403075459</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B6">
        <label>6.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Katsanou, K. and Karapanagioti, H.K. (2017) Surface Water and Groundwater Sources for Drinking Water. In: Gil, A., Galeano, L. and Vicente, M., Eds., <italic>The Handbook of Environmental Chemistry</italic>, Springer International Publishing, 1-19. https://doi.org/10.1007/698_2017_140 <pub-id pub-id-type="doi">10.1007/698_2017_140</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/698_2017_140">https://doi.org/10.1007/698_2017_140</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Katsanou, K.</string-name>
              <string-name>Karapanagioti, H.K.</string-name>
              <string-name>Gil, A.</string-name>
              <string-name>Galeano, L.</string-name>
              <string-name>Vicente, M.</string-name>
              <string-name>Chemistry, S</string-name>
            </person-group>
            <year>2017</year>
            <article-title>Surface Water and Groundwater Sources for Drinking Water</article-title>
            <source>In: Gil</source>
            <volume>1</volume>
            <pub-id pub-id-type="doi">10.1007/698_2017_140</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B7">
        <label>7.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Bănăduc, D., Simić, V., Cianfaglione, K., Barinova, S., Afanasyev, S., Öktener, A., <italic>et</italic><italic>al</italic>. (2022) Freshwater as a Sustainable Resource and Generator of Secondary Resources in the 21st Century: Stressors, Threats, Risks, Management and Protection Strategies, and Conservation Approaches. <italic>International Journal of Environmental Research and Public Health</italic>, 19, Article 16570. https://doi.org/10.3390/ijerph192416570 <pub-id pub-id-type="doi">10.3390/ijerph192416570</pub-id><pub-id pub-id-type="pmid">36554449</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/ijerph192416570">https://doi.org/10.3390/ijerph192416570</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Cianfaglione, K.</string-name>
              <string-name>Barinova, S.</string-name>
              <string-name>Afanasyev, S.</string-name>
              <string-name>Stressors, T</string-name>
              <string-name>Risks, M</string-name>
            </person-group>
            <year>2022</year>
            <article-title>Freshwater as a Sustainable Resource and Generator of Secondary Resources in the 21st Century: Stressors, Threats, Risks, Management and Protection Strategies, and Conservation Approaches</article-title>
            <source>International Journal of Environmental Research and Public Health</source>
            <volume>19</volume>
            <elocation-id>16570</elocation-id>
            <pub-id pub-id-type="doi">10.3390/ijerph192416570</pub-id>
            <pub-id pub-id-type="pmid">36554449</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B8">
        <label>8.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Mishra, R.K. (2023) Fresh Water Availability and Its Global Challenge. <italic>British Journal of Multidisciplinary and Advanced Studies</italic>, 4, 1-78. https://doi.org/10.37745/bjmas.2022.0208 <pub-id pub-id-type="doi">10.37745/bjmas.2022.0208</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.37745/bjmas.2022.0208">https://doi.org/10.37745/bjmas.2022.0208</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Mishra, R.K.</string-name>
            </person-group>
            <year>2023</year>
            <article-title>Fresh Water Availability and Its Global Challenge</article-title>
            <source>British Journal of Multidisciplinary and Advanced Studies</source>
            <volume>4</volume>
            <pub-id pub-id-type="doi">10.37745/bjmas.2022.0208</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B9">
        <label>9.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Cantonati, M., Poikane, S., Pringle, C.M., Stevens, L.E., Turak, E., Heino, J., <italic>et al</italic>. (2020) Characteristics, Main Impacts, and Stewardship of Natural and Artificial Freshwater Environments: Consequences for Biodiversity Conservation. <italic>Water</italic>, 12, Article 260. https://doi.org/10.3390/w12010260 <pub-id pub-id-type="doi">10.3390/w12010260</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/w12010260">https://doi.org/10.3390/w12010260</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Cantonati, M.</string-name>
              <string-name>Poikane, S.</string-name>
              <string-name>Pringle, C.M.</string-name>
              <string-name>Stevens, L.E.</string-name>
              <string-name>Turak, E.</string-name>
              <string-name>Heino, J.</string-name>
              <string-name>Characteristics, M</string-name>
            </person-group>
            <year>2020</year>
            <article-title>Characteristics, Main Impacts, and Stewardship of Natural and Artificial Freshwater Environments: Consequences for Biodiversity Conservation</article-title>
            <source>Water</source>
            <volume>12</volume>
            <elocation-id>260</elocation-id>
            <pub-id pub-id-type="doi">10.3390/w12010260</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B10">
        <label>10.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Noor, T., Javid, A., Hussain, A., Bukhari, S.M., Ali, W., Akmal, M., <italic>et al</italic>. (2020) Types, Sources and Management of Urban Wastes. In: Verma, P., Singh, P., <italic>et al</italic>., Eds., <italic>Urban Ecology</italic>, Elsevier, 239-263. https://doi.org/10.1016/b978-0-12-820730-7.00014-8 <pub-id pub-id-type="doi">10.1016/b978-0-12-820730-7.00014-8</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/b978-0-12-820730-7.00014-8">https://doi.org/10.1016/b978-0-12-820730-7.00014-8</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Noor, T.</string-name>
              <string-name>Javid, A.</string-name>
              <string-name>Hussain, A.</string-name>
              <string-name>Bukhari, S.M.</string-name>
              <string-name>Ali, W.</string-name>
              <string-name>Akmal, M.</string-name>
              <string-name>Types, S</string-name>
              <string-name>Verma, P.</string-name>
              <string-name>Singh, P.</string-name>
              <string-name>Ecology, E</string-name>
            </person-group>
            <year>2020</year>
            <article-title>Types, Sources and Management of Urban Wastes</article-title>
            <source>In: Verma</source>
            <volume>239</volume>
            <pub-id pub-id-type="doi">10.1016/b978-0-12-820730-7.00014-8</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B11">
        <label>11.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Yohannes, H. and Elias, E. (2017) Contamination of Rivers and Water Reservoirs in and around Addis Ababa City and Actions to Combat It. <italic>Environment Pollution and Climate Change</italic>, 1, 1-12. https://doi.org/10.4172/2753-458x.1000116 <pub-id pub-id-type="doi">10.4172/2753-458x.1000116</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4172/2753-458x.1000116">https://doi.org/10.4172/2753-458x.1000116</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Yohannes, H.</string-name>
              <string-name>Elias, E.</string-name>
            </person-group>
            <year>2017</year>
            <article-title>Contamination of Rivers and Water Reservoirs in and around Addis Ababa City and Actions to Combat It</article-title>
            <source>Environment Pollution and Climate Change</source>
            <volume>1</volume>
            <pub-id pub-id-type="doi">10.4172/2753-458x.1000116</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B12">
        <label>12.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Choudhury, M., Pervez, A., Sharma, A. and Mehta, J. (2022) Human-Induced Stresses on the Rivers Beyond Their Assimilation and Regeneration Capacity. In: Madhav, S., Kanhaiya, S., <italic>et al</italic>., Eds., <italic>Ecological Significance of River Ecosystems</italic>, Elsevier, 281-298. https://doi.org/10.1016/b978-0-323-85045-2.00019-4 <pub-id pub-id-type="doi">10.1016/b978-0-323-85045-2.00019-4</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/b978-0-323-85045-2.00019-4">https://doi.org/10.1016/b978-0-323-85045-2.00019-4</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Choudhury, M.</string-name>
              <string-name>Pervez, A.</string-name>
              <string-name>Sharma, A.</string-name>
              <string-name>Mehta, J.</string-name>
              <string-name>Madhav, S.</string-name>
              <string-name>Kanhaiya, S.</string-name>
              <string-name>Ecosystems, E</string-name>
            </person-group>
            <year>2022</year>
            <article-title>Human-Induced Stresses on the Rivers Beyond Their Assimilation and Regeneration Capacity</article-title>
            <source>In: Madhav</source>
            <volume>281</volume>
            <pub-id pub-id-type="doi">10.1016/b978-0-323-85045-2.00019-4</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B13">
        <label>13.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Haidvogl, G. (2018) Historic Milestones of Human River Uses and Ecological Impacts. In: Schmutz, S. and Sendzimir, J., Eds., <italic>Riverine Ecosystem Management</italic>, Springer International Publishing, 19-39. https://doi.org/10.1007/978-3-319-73250-3_2 <pub-id pub-id-type="doi">10.1007/978-3-319-73250-3_2</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/978-3-319-73250-3_2">https://doi.org/10.1007/978-3-319-73250-3_2</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Haidvogl, G.</string-name>
              <string-name>Schmutz, S.</string-name>
              <string-name>Sendzimir, J.</string-name>
              <string-name>Management, S</string-name>
            </person-group>
            <year>2018</year>
            <article-title>Historic Milestones of Human River Uses and Ecological Impacts</article-title>
            <source>In: Schmutz</source>
            <volume>19</volume>
            <pub-id pub-id-type="doi">10.1007/978-3-319-73250-3_2</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B14">
        <label>14.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Hamid, A., Bhat, S.U. and Jehangir, A. (2019) Local Determinants Influencing Stream Water Quality. <italic>Applied Water Science</italic>, 10, 1-16. https://doi.org/10.1007/s13201-019-1043-4 <pub-id pub-id-type="doi">10.1007/s13201-019-1043-4</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s13201-019-1043-4">https://doi.org/10.1007/s13201-019-1043-4</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Hamid, A.</string-name>
              <string-name>Bhat, S.U.</string-name>
              <string-name>Jehangir, A.</string-name>
            </person-group>
            <year>2019</year>
            <article-title>Local Determinants Influencing Stream Water Quality</article-title>
            <source>Applied Water Science</source>
            <volume>10</volume>
            <pub-id pub-id-type="doi">10.1007/s13201-019-1043-4</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B15">
        <label>15.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Liao, H., Sarver, E. and Krometis, L.H. (2018) Interactive Effects of Water Quality, Physical Habitat, and Watershed Anthropogenic Activities on Stream Ecosystem Health. <italic>Water Research</italic>, 130, 69-78. https://doi.org/10.1016/j.watres.2017.11.065 <pub-id pub-id-type="doi">10.1016/j.watres.2017.11.065</pub-id><pub-id pub-id-type="pmid">29202343</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.watres.2017.11.065">https://doi.org/10.1016/j.watres.2017.11.065</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Liao, H.</string-name>
              <string-name>Sarver, E.</string-name>
              <string-name>Krometis, L.H.</string-name>
              <string-name>Quality, P</string-name>
            </person-group>
            <year>2018</year>
            <article-title>Interactive Effects of Water Quality, Physical Habitat, and Watershed Anthropogenic Activities on Stream Ecosystem Health</article-title>
            <source>Water Research</source>
            <volume>130</volume>
            <pub-id pub-id-type="doi">10.1016/j.watres.2017.11.065</pub-id>
            <pub-id pub-id-type="pmid">29202343</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B16">
        <label>16.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Singh, S. (2024) Water Pollution in Rural Areas: Primary Sources and Associated Health Issues. In: Madhav, S., Srivastav, A.L. <italic>et al</italic>., Eds., <italic>Water Resources Management for</italic><italic>Rural Development</italic>, Elsevier, 29-44. https://doi.org/10.1016/b978-0-443-18778-0.00011-8 <pub-id pub-id-type="doi">10.1016/b978-0-443-18778-0.00011-8</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/b978-0-443-18778-0.00011-8">https://doi.org/10.1016/b978-0-443-18778-0.00011-8</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Singh, S.</string-name>
              <string-name>Madhav, S.</string-name>
              <string-name>Srivastav, A.L.</string-name>
              <string-name>Development, E</string-name>
            </person-group>
            <year>2024</year>
            <article-title>Water Pollution in Rural Areas: Primary Sources and Associated Health Issues</article-title>
            <source>In: Madhav</source>
            <volume>29</volume>
            <pub-id pub-id-type="doi">10.1016/b978-0-443-18778-0.00011-8</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B17">
        <label>17.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Tariq, A. and Mushtaq, A. (2023) Untreated Wastewater Reasons and Causes: A Review of Most Affected Areas and Cities. <italic>International Journal of Chemical and Biochemical Sciences</italic>, 23, 121-143.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Tariq, A.</string-name>
              <string-name>Mushtaq, A.</string-name>
            </person-group>
            <year>2023</year>
            <article-title>Untreated Wastewater Reasons and Causes: A Review of Most Affected Areas and Cities</article-title>
            <source>International Journal of Chemical and Biochemical Sciences</source>
            <volume>23</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B18">
        <label>18.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Aggarwal, R. and Arora, S. (2012) A Study of Water Quality of Kaushalya River in the Submountaneous Shivalik Region. <italic>International Journal of Scientific &amp; Technology Research</italic>, 1, 52-68.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Aggarwal, R.</string-name>
              <string-name>Arora, S.</string-name>
            </person-group>
            <year>2012</year>
            <article-title>A Study of Water Quality of Kaushalya River in the Submountaneous Shivalik Region</article-title>
            <source>International Journal of Scientific &amp; Technology Research</source>
            <volume>1</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B19">
        <label>19.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Pardeshi, D.S. and Baidya, S. (2015) Physicochemical Assessment of Waldhuni River Ulhasnagar, Thane, India—A Case Study. <italic>International Journal</italic><italic>of Current Research &amp; Academic Review</italic>, 3, 234-248.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Pardeshi, D.S.</string-name>
              <string-name>Baidya, S.</string-name>
              <string-name>Ulhasnagar, T</string-name>
            </person-group>
            <year>2015</year>
            <article-title>Physicochemical Assessment of Waldhuni River Ulhasnagar, Thane, India—A Case Study</article-title>
            <source>International Journal of Current Research &amp; Academic Review</source>
            <volume>3</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B20">
        <label>20.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Hisseien, A., Kamga, R. and Mahamat, T. (2015) Physico-Chemical Analysis of Logone River Water at Moundou City in Southern Chad. <italic>International Journal of Biological and Chemical Sciences</italic>, 9, 1654-1664. https://doi.org/10.4314/ijbcs.v9i3.44 <pub-id pub-id-type="doi">10.4314/ijbcs.v9i3.44</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4314/ijbcs.v9i3.44">https://doi.org/10.4314/ijbcs.v9i3.44</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Hisseien, A.</string-name>
              <string-name>Kamga, R.</string-name>
              <string-name>Mahamat, T.</string-name>
            </person-group>
            <year>2015</year>
            <article-title>Physico-Chemical Analysis of Logone River Water at Moundou City in Southern Chad</article-title>
            <source>International Journal of Biological and Chemical Sciences</source>
            <volume>9</volume>
            <pub-id pub-id-type="doi">10.4314/ijbcs.v9i3.44</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B21">
        <label>21.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Gordon, B.A., Dorothy, O. and Lenhart, C.F. (2020) Nutrient Retention in Ecologically Functional Floodplains: A Review. <italic>Water</italic>, 12, Article 2762. https://doi.org/10.3390/w12102762 <pub-id pub-id-type="doi">10.3390/w12102762</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/w12102762">https://doi.org/10.3390/w12102762</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Gordon, B.A.</string-name>
              <string-name>Dorothy, O.</string-name>
              <string-name>Lenhart, C.F.</string-name>
            </person-group>
            <year>2020</year>
            <article-title>Nutrient Retention in Ecologically Functional Floodplains: A Review</article-title>
            <source>Water</source>
            <volume>12</volume>
            <elocation-id>2762</elocation-id>
            <pub-id pub-id-type="doi">10.3390/w12102762</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B22">
        <label>22.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Pratt, O.P., Beesley, L.S., Pusey, B.J., Setterfield, S.A. and Douglas, M.M. (2024) The Implications of Brief Floodplain Inundation for Local and Landscape-Scale Ecosystem Function in an Intermittent Australian River. <italic>Marine and Freshwater Research</italic>, 75, MF24123. https://doi.org/10.1071/mf24123 <pub-id pub-id-type="doi">10.1071/mf24123</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1071/mf24123">https://doi.org/10.1071/mf24123</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Pratt, O.P.</string-name>
              <string-name>Beesley, L.S.</string-name>
              <string-name>Pusey, B.J.</string-name>
              <string-name>Setterfield, S.A.</string-name>
              <string-name>Douglas, M.M.</string-name>
            </person-group>
            <year>2024</year>
            <article-title>The Implications of Brief Floodplain Inundation for Local and Landscape-Scale Ecosystem Function in an Intermittent Australian River</article-title>
            <source>Marine and Freshwater Research</source>
            <volume>75</volume>
            <pub-id pub-id-type="doi">10.1071/mf24123</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B23">
        <label>23.</label>
        <citation-alternatives>
          <mixed-citation publication-type="report">Mustapha, S., Peters, K. and Tunis, N. (2017) Rural Transport Diagnostic Study in Sierra Leone. Project SLE2108A. Final Report. Africa Community Access Partnership (AfCAP), Cardno Emerging Markets, Thame.</mixed-citation>
          <element-citation publication-type="report">
            <person-group person-group-type="author">
              <string-name>Mustapha, S.</string-name>
              <string-name>Peters, K.</string-name>
              <string-name>Tunis, N.</string-name>
              <string-name>Markets, T</string-name>
            </person-group>
            <year>2017</year>
            <article-title>Rural Transport Diagnostic Study in Sierra Leone</article-title>
            <source>Project SLE2108A. Final Report. Africa Community Access Partnership (AfCAP)</source>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B24">
        <label>24.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Sierra Leone Meteorological Agency (2022) Climate and Average Weather Year Round in Pujehun Sierra Leone.</mixed-citation>
          <element-citation publication-type="other">
            <year>2022</year>
            <article-title>Climate and Average Weather Year Round in Pujehun Sierra Leone</article-title>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B25">
        <label>25.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Sharma, V. and Walia, Y. (2015) Water Quality Assessment Using Physico-Chemical Parameters and Heavy Metals of Gobind Sagar Lake, Himachal Pradesh (India). <italic>Current World Environment</italic>, 10, 967-974. https://doi.org/10.12944/cwe.10.3.28 <pub-id pub-id-type="doi">10.12944/cwe.10.3.28</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.12944/cwe.10.3.28">https://doi.org/10.12944/cwe.10.3.28</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Sharma, V.</string-name>
              <string-name>Walia, Y.</string-name>
              <string-name>Lake, H</string-name>
            </person-group>
            <year>2015</year>
            <article-title>Water Quality Assessment Using Physico-Chemical Parameters and Heavy Metals of Gobind Sagar Lake, Himachal Pradesh (India)</article-title>
            <source>Current World Environment</source>
            <volume>10</volume>
            <pub-id pub-id-type="doi">10.12944/cwe.10.3.28</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B26">
        <label>26.</label>
        <citation-alternatives>
          <mixed-citation publication-type="book">American Public Health Association (APHA) 2005 Standard Methods for the Examination of Water and Wastewater, 20th Edition.</mixed-citation>
          <element-citation publication-type="book">
            <year>2005</year>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B27">
        <label>27.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Gichuki, J.G. and Gichumbi, J.M. (2012) Physico-Chemical Analysis of Ground Water from Kihara Division, Kiambu County, Kenya. <italic>Journal of Chemical</italic>, <italic>Biological and P</italic><italic>hysical Sciences</italic> ( <italic>JCBPS</italic>), 2, 2193-2200.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Gichuki, J.G.</string-name>
              <string-name>Gichumbi, J.M.</string-name>
              <string-name>Division, K</string-name>
              <string-name>County, K</string-name>
              <string-name>Chemical, B</string-name>
            </person-group>
            <year>2012</year>
            <article-title>Physico-Chemical Analysis of Ground Water from Kihara Division, Kiambu County, Kenya</article-title>
            <source>Journal of Chemical</source>
            <volume>2</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B28">
        <label>28.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Trivedy, R.K. and Goel, P.K. (1984) Chemical and Biological Methods for Water Pollution Studies. Environmental Publications.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Trivedy, R.K.</string-name>
              <string-name>Goel, P.K.</string-name>
            </person-group>
            <year>1984</year>
            <article-title>Chemical and Biological Methods for Water Pollution Studies</article-title>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B29">
        <label>29.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Shamsur, R., Muhammad, A.A., Azharul, M.I., Sayema, T.F.K. and Mohammod, L.K. (2017) Assessment of Drinking Water Quality and Hygienic Conditions of the People Living around the Dingaputha Haor Area of Netrokona District, Bangladesh. <italic>Research &amp; Reviews</italic>: <italic>Journal of Ecology and Environmental Sciences</italic>, 5, 12-23.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Shamsur, R.</string-name>
              <string-name>Muhammad, A.A.</string-name>
              <string-name>Azharul, M.I.</string-name>
              <string-name>Sayema, T.F.K.</string-name>
              <string-name>Mohammod, L.K.</string-name>
              <string-name>District, B</string-name>
            </person-group>
            <year>2017</year>
            <article-title>Assessment of Drinking Water Quality and Hygienic Conditions of the People Living around the Dingaputha Haor Area of Netrokona District, Bangladesh</article-title>
            <source>Research &amp; Reviews: Journal of Ecology and Environmental Sciences</source>
            <volume>5</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B30">
        <label>30.</label>
        <citation-alternatives>
          <mixed-citation publication-type="thesis">Jesmin, M.S. (2000) Pollution Studies on Groundwater for Irrigation, Drinking and Industrial Usage in Gaibandha Aquifers. Doctoral Dissertation, Bangladesh Agricultural University.</mixed-citation>
          <element-citation publication-type="thesis">
            <person-group person-group-type="author">
              <string-name>Jesmin, M.S.</string-name>
              <string-name>Irrigation, D</string-name>
              <string-name>Dissertation, B</string-name>
            </person-group>
            <year>2000</year>
            <article-title>Pollution Studies on Groundwater for Irrigation, Drinking and Industrial Usage in Gaibandha Aquifers</article-title>
            <source>Doctoral Dissertation</source>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B31">
        <label>31.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Okweye, P.S. (2013) Seasonal Variation in Physico-Chemical Parameters and Heavy Metals Assessment in Surface Water of North Alabama. <italic>Research Journal of Chemistry and Environment</italic>, 17, 68-115.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Okweye, P.S.</string-name>
            </person-group>
            <year>2013</year>
            <article-title>Seasonal Variation in Physico-Chemical Parameters and Heavy Metals Assessment in Surface Water of North Alabama</article-title>
            <source>Research Journal of Chemistry and Environment</source>
            <volume>17</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B32">
        <label>32.</label>
        <citation-alternatives>
          <mixed-citation publication-type="thesis">Alam, M.S. (2008) Assessment of Surface Water Quality for Agricultural Usage in Chalan Beel Area. Doctoral Dissertation, Bangladesh.</mixed-citation>
          <element-citation publication-type="thesis">
            <person-group person-group-type="author">
              <string-name>Alam, M.S.</string-name>
              <string-name>Dissertation, B</string-name>
            </person-group>
            <year>2008</year>
            <article-title>Assessment of Surface Water Quality for Agricultural Usage in Chalan Beel Area</article-title>
            <source>Doctoral Dissertation</source>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B33">
        <label>33.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Islam, M.S., Mohanta, S.C., Siddique, M.A.B., Abdullah-Al-Mamun, M., Hossain, N. and Bithi, U.H. (2018) Physico-Chemical Assessment of Water Quality Parameters in Rupsha River of Khulna Region, Bangladesh. <italic>International Journal of Engineering Science</italic>, 7, 73-78.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Islam, M.S.</string-name>
              <string-name>Mohanta, S.C.</string-name>
              <string-name>Siddique, M.A.B.</string-name>
              <string-name>Abdullah-Al-Mamun, M.</string-name>
              <string-name>Hossain, N.</string-name>
              <string-name>Bithi, U.H.</string-name>
              <string-name>Region, B</string-name>
            </person-group>
            <year>2018</year>
            <article-title>Physico-Chemical Assessment of Water Quality Parameters in Rupsha River of Khulna Region, Bangladesh</article-title>
            <source>International Journal of Engineering Science</source>
            <volume>7</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B34">
        <label>34.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Sakthivadivel, M., Nirmala, A., Sakthivadivel, J., Mukhilan, R.R. and Tennyson, S. (2020) Physicochemical and Biological Parameters of Water at Industrial Sites of Metropolitan City of Chennai, Tamil Nadu, India. <italic>Water Conservation and Management</italic>, 4, 90-98. https://doi.org/10.26480/wcm.02.2020.90.98 <pub-id pub-id-type="doi">10.26480/wcm.02.2020.90.98</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.26480/wcm.02.2020.90.98">https://doi.org/10.26480/wcm.02.2020.90.98</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Sakthivadivel, M.</string-name>
              <string-name>Nirmala, A.</string-name>
              <string-name>Sakthivadivel, J.</string-name>
              <string-name>Mukhilan, R.R.</string-name>
              <string-name>Tennyson, S.</string-name>
              <string-name>Chennai, T</string-name>
              <string-name>Nadu, I</string-name>
            </person-group>
            <year>2020</year>
            <article-title>Physicochemical and Biological Parameters of Water at Industrial Sites of Metropolitan City of Chennai, Tamil Nadu, India</article-title>
            <source>Water Conservation and Management</source>
            <volume>4</volume>
            <pub-id pub-id-type="doi">10.26480/wcm.02.2020.90.98</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B35">
        <label>35.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Howarth, R.W., Boyer, E.W., Pabich, W.J. and Galloway, J.N. (2002) Nitrogen Use in the United States from 1961-2000 and Potential Future Trends. <italic>AMBIO</italic>: <italic>A Journal of the Human Environment</italic>, 31, 88-96. https://doi.org/10.1579/0044-7447-31.2.88 <pub-id pub-id-type="doi">10.1579/0044-7447-31.2.88</pub-id><pub-id pub-id-type="pmid">12078014</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1579/0044-7447-31.2.88">https://doi.org/10.1579/0044-7447-31.2.88</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Howarth, R.W.</string-name>
              <string-name>Boyer, E.W.</string-name>
              <string-name>Pabich, W.J.</string-name>
              <string-name>Galloway, J.N.</string-name>
            </person-group>
            <year>2002</year>
            <article-title>Nitrogen Use in the United States from 1961-2000 and Potential Future Trends</article-title>
            <source>AMBIO: A Journal of the Human Environment</source>
            <volume>31</volume>
            <pub-id pub-id-type="doi">10.1579/0044-7447-31.2.88</pub-id>
            <pub-id pub-id-type="pmid">12078014</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B36">
        <label>36.</label>
        <citation-alternatives>
          <mixed-citation publication-type="thesis">Halim, M.A. (2009) Seasonal Variation of Pond Water Quality in Selected FISH farms of Mymensingh Area. Doctoral Dissertation, Bangladesh Agricultural University.</mixed-citation>
          <element-citation publication-type="thesis">
            <person-group person-group-type="author">
              <string-name>Halim, M.A.</string-name>
              <string-name>Dissertation, B</string-name>
            </person-group>
            <year>2009</year>
            <article-title>Seasonal Variation of Pond Water Quality in Selected FISH farms of Mymensingh Area</article-title>
            <source>Doctoral Dissertation</source>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B37">
        <label>37.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Verma, P.U., Chandawat, D. and Solanki, H.A. (2010) Study of Water Quality of Hamirsar Lake-Bhuj. <italic>International Journal of Bioscience Reporter</italic>, 8, 145-153.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Verma, P.U.</string-name>
              <string-name>Chandawat, D.</string-name>
              <string-name>Solanki, H.A.</string-name>
            </person-group>
            <year>2010</year>
            <article-title>Study of Water Quality of Hamirsar Lake-Bhuj</article-title>
            <source>International Journal of Bioscience Reporter</source>
            <volume>8</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B38">
        <label>38.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Solanki, H. (2012) Status of Soils and Water Reservoirs Near Industrial Areas of Baroda: Pollution and Soil; Water Chemistry. Lap Lambert Academic Publishing.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Solanki, H.</string-name>
            </person-group>
            <year>2012</year>
            <article-title>Status of Soils and Water Reservoirs Near Industrial Areas of Baroda: Pollution and Soil; Water Chemistry</article-title>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B39">
        <label>39.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Mezgebe, K., Gebrekidan, A., Hadera, A. and Weldegebriel, Y. (2015) Assessment of Physico-Chemical Parameters of Tsaeda Agam River in Mekelle City, Tigray, Ethiopia. <italic>Bulletin of the Chemical Society of Ethiopia</italic>, 29, 377-385. https://doi.org/10.4314/bcse.v29i3.5 <pub-id pub-id-type="doi">10.4314/bcse.v29i3.5</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4314/bcse.v29i3.5">https://doi.org/10.4314/bcse.v29i3.5</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Mezgebe, K.</string-name>
              <string-name>Gebrekidan, A.</string-name>
              <string-name>Hadera, A.</string-name>
              <string-name>Weldegebriel, Y.</string-name>
              <string-name>City, T</string-name>
            </person-group>
            <year>2015</year>
            <article-title>Assessment of Physico-Chemical Parameters of Tsaeda Agam River in Mekelle City, Tigray, Ethiopia</article-title>
            <source>Bulletin of the Chemical Society of Ethiopia</source>
            <volume>29</volume>
            <pub-id pub-id-type="doi">10.4314/bcse.v29i3.5</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B40">
        <label>40.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Singh, S., Singh, J. and Singh, H. (2021) Chemical Oxygen Demand and Biochemical Oxygen Demand. In: Inamuddin, Boddula, R. and Asiri, A.M., Eds., <italic>Green Sustainable Process for Chemical and Environmental Engineering and Science</italic>, Elsevier, 69-83. https://doi.org/10.1016/b978-0-12-821883-9.00007-2 <pub-id pub-id-type="doi">10.1016/b978-0-12-821883-9.00007-2</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/b978-0-12-821883-9.00007-2">https://doi.org/10.1016/b978-0-12-821883-9.00007-2</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Singh, S.</string-name>
              <string-name>Singh, J.</string-name>
              <string-name>Singh, H.</string-name>
              <string-name>Inamuddin, B</string-name>
              <string-name>Asiri, A.M.</string-name>
              <string-name>Science, E</string-name>
            </person-group>
            <year>2021</year>
            <article-title>Chemical Oxygen Demand and Biochemical Oxygen Demand</article-title>
            <source>In: Inamuddin</source>
            <volume>69</volume>
            <pub-id pub-id-type="doi">10.1016/b978-0-12-821883-9.00007-2</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B41">
        <label>41.</label>
        <citation-alternatives>
          <mixed-citation publication-type="web">Solanki, P. (2018) Development of Ecofriendly Hybrid Model for Wastewater Treatment. https://krishikosh.egranth.ac.in/server/api/core/bitstreams/1ca1f8ab-f8da-418e-9ce1-6fc6402f91fd/content</mixed-citation>
          <element-citation publication-type="web">
            <person-group person-group-type="author">
              <string-name>Solanki, P.</string-name>
            </person-group>
            <year>2018</year>
            <article-title>Development of Ecofriendly Hybrid Model for Wastewater Treatment</article-title>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B42">
        <label>42.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Solanki, H.A. (2007) Ecological Studies of Phytoplankton of Mini Mahi River, Gujarat, India. <italic>Vidya</italic>, 2, 47-57.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Solanki, H.A.</string-name>
              <string-name>River, G</string-name>
            </person-group>
            <year>2007</year>
            <article-title>Ecological Studies of Phytoplankton of Mini Mahi River, Gujarat, India</article-title>
            <source>Vidya</source>
            <volume>2</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
    </ref-list>
  </back>
</article>