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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">gep</journal-id>
      <journal-title-group>
        <journal-title>Journal of Geoscience and Environment Protection</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2327-4344</issn>
      <issn pub-type="ppub">2327-4336</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/gep.2026.147024</article-id>
      <article-id pub-id-type="publisher-id">gep-152873</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Earth</subject>
          <subject>Environmental Sciences</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Assessment of the Quality of Irrigation Water at Some Selected Parts of Atwima Nwabiagya North District</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0000-0002-4887-0879</contrib-id>
          <name name-style="western">
            <surname>Seshie</surname>
            <given-names>Vivian Isabella</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ansah</surname>
            <given-names>Solomon Owusu</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Environmental and Safety Engineering Department, University of Mines and Technology, Tarkwa, Ghana </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>08</day>
        <month>07</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>07</month>
        <year>2026</year>
      </pub-date>
      <volume>14</volume>
      <issue>07</issue>
      <fpage>427</fpage>
      <lpage>439</lpage>
      <history>
        <date date-type="received">
          <day>23</day>
          <month>06</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>26</day>
          <month>07</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>29</day>
          <month>07</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/gep.2026.147024">https://doi.org/10.4236/gep.2026.147024</self-uri>
      <abstract>
        <p>The quality of agricultural irrigation water is a critical determinant of crop productivity, soil physical health, and long-term agricultural sustainability. This study evaluated the hydrochemical suitability of water sources utilised for irrigation in selected agricultural zones within the Atwima Nwabiagya North District of Ghana. Seventeen irrigation water sources were sampled and systematically analysed for key physicochemical parameters and calculated agricultural suitability indices, including pH, electrical conductivity (EC), sodium adsorption ratio (SAR), sodium percentage (Na%), magnesium adsorption ratio (MAR), residual sodium carbonate (RSC), soluble sodium percentage (SSP), total hardness, total alkalinity, and concentrations of chloride, sulphate, boron (B), and iron (Fe). Based on calculated SAR (0.41 to 8.17) and RSC (0.11 to 0.55 meq/L) values, all evaluated water sources fell within safe limits, indicating low immediate risks of soil permeability issues. However, the calculated MAR ranged from 46% to 86%, with 16 out of the 17 analysed samples exceeding the critical 50% suitability threshold, signifying a widespread magnesium hazard capable of causing clay dispersion and soil compaction (borehole BH02 [46%] was the sole safe exception). This structural hazard is heavily compounded by highly elevated sodium percentages (Na% &gt; 80% in 12 samples) and soluble sodium percentages (SSP &gt; 80% in 14 samples except BH02 `68.76`, S03 `52.58`, and S12 `77.91`) across the majority of the sampling sites. Furthermore, while the slightly acidic pH (6.07 to 6.99), low EC (&lt; 700 μS/cm), and moderate alkalinity levels were safe, boron concentrations (0.80 to 1.70 mg/L) consistently exceeded the agricultural safety threshold of 0.7 mg/L in 100% of the samples, presenting a severe toxicity risk for sensitive crops. Additionally, potentially hazardous iron concentrations exceeding 1.0 mg/L were recorded in several surface water sources, threatening micro-irrigation systems with physical clogging and inducing chemical phosphorus fixation in the receiving soils. The findings indicate that while these water sources are safe from an osmotic salinity standpoint, their continuous use poses severe long-term risks of soil structural degradation and phytotoxicity. Regular hydrochemical monitoring and targeted soil management, such as gypsum amendments, are highly recommended to ensure sustainable agricultural production in the district.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Irrigation Water Quality</kwd>
        <kwd>Hydrochemistry</kwd>
        <kwd>Magnesium Hazard (MAR)</kwd>
        <kwd>Soil Dispersion</kwd>
        <kwd>Sodicity Hazard</kwd>
        <kwd>Boron Toxicity</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Irrigation is the artificial application of water to land to support the growth of pastures, crops, and other vegetation. Irrigation is a process that involves human intervention to control soil moisture in the crop root zone while maintaining soil fertility. It can be instinctual or scientifically based. Because groundwater is suitable for various uses, poor irrigation water impacts crops and soil quality. Physical and chemical characteristics, highly influenced by geological formations and human activity, determine how groundwater quality varies in a given area ([<xref ref-type="bibr" rid="B15">15</xref>]). The potential for Ghana’s economic and social change remains in the agriculture sector. Therefore, the sector must develop quickly to reach its full potential. </p>
      <p>To ensure that the incomes of agricultural sector employees and Ghanaians are sustainable, there must be a significant increase in the productivity of all production components, especially food crops and livestock ([<xref ref-type="bibr" rid="B2">2</xref>]). Ghana’s agriculture is primarily rain-fed, which contributes to the low productivity of the crop subsector. Increased access to irrigated agriculture is the goal of the Ministry of Food and agriculture’s sub-programme. Farmers will be encouraged to participate in irrigation scheme management (operation and maintenance), irrigation infrastructure will be expanded and improved, irrigation service charges will be made easier to set and collect, water users’ associations (WUAs) will be made more aware of the importance of irrigation, and the irrigation value chain will be strengthened ([<xref ref-type="bibr" rid="B4">4</xref>]).</p>
      <p>Dependable access to usable water is necessary for irrigation-based agriculture. Water quality issues have frequently been ignored because of the abundance of high-quality water supplies. Water availability and water quality for irrigation issues are developing in many ways. As a result of the excessive use of all high-quality resources, new irrigation projects and ongoing projects seeking more or replacement supplies are forced to rely on subpar, unwanted sources. To avoid problems when using these low-quality water supplies, adequate planning must ensure that water quality is utilised to its fullest. The study evaluates irrigation water quality in parts of the Atwima Nwabiagya North District.</p>
    </sec>
    <sec id="sec2">
      <title>2. Materials, Methods Used</title>
      <sec id="sec2dot1">
        <title>2.1. Sampling and Analysis</title>
        <p>Water samples were collected from 17 sources using water sampling bottles. These sources include rivers, streams, and boreholes, with most being streams. Water sampling was conducted once during the coinciding harvest and rainy seasons (May). Multiple samples were collected from 17 irrigation sources which were rivers serving the district’s major farms to ensure broad representation. The locations of water samples were recorded with a handheld GPS. While sampling sites were distributed randomly across the district, selection was specifically guided by and focused on the dominant water sources utilised for agricultural irrigation in the region. The samples were sealed, stored in the ice chest at low temperatures, and transported to the Environmental and Safety Engineering laboratory at the University of Mines and Technology, Tarkwa, Ghana, for analysis. <xref ref-type="fig" rid="fig1">Figure 1</xref> below shows the locations of the sampling points and their corresponding GPS locations.</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/2173837-rId13.jpeg?20260729020530" />
        </fig>
        <p><bold>Figure 1</bold><bold>.</bold> Sample location.</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Analysis of Samples</title>
        <p>Physicochemical parameters—including pH, electrical conductivity (EC), total dissolved solids (TDS), and salinity—were measured using a multi-parameter meter calibrated with standard buffer solutions (pH 4.01, 7.00, and 10.01), ensuring deionised water rinses between successive measurements. Total hardness (TH), total alkalinity (TA), and boron (B) concentrations were determined photometrically. </p>
        <p>For major cation analysis (Na<sup>+</sup>, Mg<sup>2+</sup>, Ca<sup>2+</sup> and K<sup>+</sup>), 100 mL sample aliquots were digested with 5 mL of concentrated nitric acid (<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> HCO </mml:mtext></mml:mrow><mml:mtext> 3 </mml:mtext><mml:mo> − </mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> ) and heated for 2.5 hours. Concentrations of Na<sup>+</sup>, K<sup>+</sup>, and Ca<sup>2+</sup> were subsequently quantified using a flame photometer. Major anions (Cl<sup>−</sup>, <inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> SO </mml:mtext></mml:mrow><mml:mtext> 4 </mml:mtext><mml:mrow><mml:mtext> 2 </mml:mtext><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> CO </mml:mtext></mml:mrow><mml:mtext> 3 </mml:mtext><mml:mrow><mml:mtext> 2 </mml:mtext><mml:mo> − </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> HCO </mml:mtext></mml:mrow><mml:mtext> 3 </mml:mtext><mml:mo> − </mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> ) were systematically analysed using standard hydrochemical protocols.</p>
        <p>Quality Assurance and Quality Control (QA/QC)</p>
        <p>To ensure analytical precision and accuracy, rigorous QA/QC protocols were integrated into the laboratory workflow. Every analytical batch included procedural blanks to monitor for reagent-grade contamination, with all blank values falling below the method detection limits. Instrument precision was verified through replicate analyses of randomly selected samples, ensuring a relative percent difference (RPD) of &lt;5%. Analytical accuracy was further validated using certified reference materials (CRMs) to determine the percentage recovery of each heavy metal, with acceptable recovery rates maintained within the 80% - 120% range. Additionally, mid-range calibration standards were re-analyzed every ten samples to check for instrumental baseline drift, ensuring that all reported concentrations met established threshold requirements for scientific reproducibility.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Sodium Adsorption Ratio</title>
        <p>The Sodium Adsorption Ratio (SAR) assesses the potential for sodium to participate in soil cation-exchange reactions relative to calcium and magnesium. Expressed in milliequivalents per litre (meq/L) as defined in Equation (1), higher SAR values indicate elevated risk of soil sodication and reduced irrigation suitability. Waters with an SAR exceeding 13 are classified as sodic; however, an SAR between 1 and 3, paired with an EC &lt; 700 μS/cm, indicates a negligible risk of impairment of soil infiltration rate ([<xref ref-type="bibr" rid="B8">8</xref>]).</p>
        <p>SAR = Na<sup>+</sup>/√((Ca<sup>2</sup><sup>+</sup> + Mg<sup>2+</sup>)/2) (1)</p>
        <p>where concentrations are in Meq/L.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Magnesium Ratio</title>
        <p>The Magnesium Adsorption Ratio (MAR) evaluates the proportion of magnesium relative to total divalent cations, as high magnesium adsorption degrades soil structural properties. Soil physical degradation typically occurs when the MAR exceeds 50% (Equation (2)) ([<xref ref-type="bibr" rid="B9">9</xref>]). </p>
        <p>MAR = (Mg<sup>2+</sup> Ca<sup>2+</sup>) × 100/(Ca<sup>2+</sup> + Mg<sup>2+</sup>) (2)</p>
        <p>where concentrations are in Meq/L.</p>
      </sec>
      <sec id="sec2dot5">
        <title>2.5. Sodium Percentage (Na%)</title>
        <p>Assessing the sodium percentage (Na%) is critical because elevated sodium levels induce structural sodicity hazards and impair soil permeability, as calculated via Equation (3) ([<xref ref-type="bibr" rid="B9">9</xref>]).</p>
        <p>Na% = (Na<sup>+1</sup> × 100)/(Ca<sup>2+</sup> + Mg<sup>2+</sup> + Na<sup>+1</sup> + K<sup>+1</sup>) (3)</p>
        <p>where concentrations are in Meq/L.</p>
      </sec>
      <sec id="sec2dot6">
        <title>2.6. Soluble Sodium Percentage</title>
        <p>The Soluble Sodium Percentage (SSP), calculated via Equation (4), is a critical index for evaluating sodicity hazards, as highly elevated SSP values can impair seed germination and cause stunted vegetative growth.</p>
        <p>SSP = (Na<sup>+</sup> + K<sup>+</sup>) × 100/(Ca<sup>2+</sup> + Mg<sup>2+</sup> + Na<sup>+</sup> + K<sup>+</sup>) (4)</p>
        <p>where all concentrations are expressed in Meq/L.</p>
      </sec>
      <sec id="sec2dot7">
        <title>2.7. Bicarbonate Hazard</title>
        <p>The bicarbonate hazard is usually expressed as Residual Sodium Carbonate (RSC). RSC is always evaluated using Equation (5) below.</p>
        <disp-formula id="FD5">
          <label>(5)</label>
          <mml:math display="inline">
            <mml:mrow>
              <mml:mtext>RSC</mml:mtext>
              <mml:mo>=</mml:mo>
              <mml:mo stretchy="false">(</mml:mo>
              <mml:msubsup>
                <mml:mrow>
                  <mml:mtext>HCO</mml:mtext>
                </mml:mrow>
                <mml:mtext>3</mml:mtext>
                <mml:mo>−</mml:mo>
              </mml:msubsup>
              <mml:mo>+</mml:mo>
              <mml:msubsup>
                <mml:mrow>
                  <mml:mtext>CO</mml:mtext>
                </mml:mrow>
                <mml:mtext>3</mml:mtext>
                <mml:mrow>
                  <mml:mtext>2</mml:mtext>
                  <mml:mo>−</mml:mo>
                </mml:mrow>
              </mml:msubsup>
              <mml:mo stretchy="false">)</mml:mo>
              <mml:mo>−</mml:mo>
              <mml:mrow>
                <mml:mo>(</mml:mo>
                <mml:mrow>
                  <mml:msup>
                    <mml:mrow>
                      <mml:mtext>Ca</mml:mtext>
                    </mml:mrow>
                    <mml:mrow>
                      <mml:mn>2</mml:mn>
                      <mml:mo>+</mml:mo>
                    </mml:mrow>
                  </mml:msup>
                  <mml:mo>+</mml:mo>
                  <mml:msup>
                    <mml:mrow>
                      <mml:mtext>Mg</mml:mtext>
                    </mml:mrow>
                    <mml:mrow>
                      <mml:mn>2</mml:mn>
                      <mml:mo>+</mml:mo>
                    </mml:mrow>
                  </mml:msup>
                </mml:mrow>
                <mml:mo>)</mml:mo>
              </mml:mrow>
            </mml:mrow>
          </mml:math>
        </disp-formula>
        <p>where all concentrations are expressed in Meq/L.</p>
        <p>Elevated bicarbonate concentrations promote the precipitation of calcium and magnesium as carbonate minerals, raising the relative proportion of sodium and exacerbating sodicity hazards. This geochemical process is quantified via the Residual Sodium Carbonate (RSC) index; under the [<xref ref-type="bibr" rid="B7">7</xref>] classification framework, irrigation water is considered safe at an RSC &lt; 1.25 meq/L, marginally suitable requiring targeted management between 1.25 and 2.5 meq/L, and entirely unsuitable at values exceeding 2.5 meq/L.</p>
      </sec>
      <sec id="sec2dot8">
        <title>2.8. Total Dissolved Salts</title>
        <p>Irrigation water salinity originates from the geogenic weathering and dissolution of soil minerals such as calcite and gypsum ([<xref ref-type="bibr" rid="B13">13</xref>]). As irrigation water evaporates or is transpired, these dissolved salts accumulate in the root zone ([<xref ref-type="bibr" rid="B5">5</xref>]), elevating soil osmotic pressure and restricting plant water uptake to induce growth-stunting physiological moisture stress ([<xref ref-type="bibr" rid="B3">3</xref>]). </p>
        <p>Under the [<xref ref-type="bibr" rid="B17">17</xref>] classification framework, irrigation suitability is categorized based on Total Dissolved Solids (TDS) concentrations: values below 450 mg/L are classified as “excellent”, 450 to 750 mg/L as “good”, 750 to 2000 mg/L as “permissible”, and concentrations exceeding 2000 mg/L as “unsuitable” for agricultural use. In this study, all monitored sampling locations fell within the highly safe, “excellent” range ([<xref ref-type="bibr" rid="B17">17</xref>]), confirming their suitability for sustainable agricultural irrigation based on TDS levels.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results and Discussion</title>
      <sec id="sec3dot1">
        <title>3.1. Total Hardness and Total Alkalinity</title>
        <p>Total Hardness (TH) reflects the concentration of divalent metallic cations, primarily Ca<sup>2+</sup> and Mg<sup>2+</sup>. While excessively high TH leads to mineral scale formation in irrigation piping and localised crop damage ([<xref ref-type="bibr" rid="B1">1</xref>]), extremely low hardness is also structurally problematic. In this study, all monitored samples fell within the “soft water” classification (<bold>Table 1</bold>).</p>
        <p>Standard frameworks classify total hardness (as CaCO<sub>3</sub>) into soft (0 - 60 mg/L), moderately hard (61 - 120 mg/L), hard (121 - 180 mg/L), and very hard (&gt;180 mg/L) regimes ([<xref ref-type="bibr" rid="B17">17</xref>]; [<xref ref-type="bibr" rid="B16">16</xref>]; <bold>Table 1</bold>). Agronomically, continuous irrigation with soft water triggers clay dispersion, structural collapse, and impaired infiltration due to a deficiency of divalent Ca<sup>2+</sup> and Mg<sup>2+</sup>.</p>
        <p>Conversely, total alkalinity—the acid-neutralizing capacity driven by H<sub>2</sub>CO<sub>3</sub>, <inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> HCO </mml:mtext></mml:mrow><mml:mtext> 3 </mml:mtext><mml:mo> − </mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> , and <inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext> CO </mml:mtext></mml:mrow><mml:mtext> 3 </mml:mtext><mml:mrow><mml:mtext> 2 </mml:mtext><mml:mo> − </mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> —remained withinafe limits for most samples, except BH02, S02 and S03, which fell below recommended thresholds ([<xref ref-type="bibr" rid="B1">1</xref>]). Highly alkaline water exhibits strong buffering capacities that resist pH reduction ([<xref ref-type="bibr" rid="B13">13</xref>]), potentially locking soil pH in alkaline ranges and reducing the bioavailability of essential iron, manganese, and phosphorus.</p>
        <p><bold>Table 1</bold><bold>.</bold> Hydrochemical characterisation and irrigation quality assessment indices.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">
                  <bold>SAMPLE ID</bold>
                </td>
                <td rowspan="2">
                  <bold>pH</bold>
                </td>
                <td rowspan="2">
                  <bold>Ec (μs/cm)</bold>
                </td>
                <td rowspan="2">
                  <bold>TDS</bold>
                </td>
                <td rowspan="2">
                  <bold>TA (mg/L)</bold>
                </td>
                <td rowspan="2">
                  <bold>TH (mg/L)</bold>
                </td>
                <td rowspan="2">
                  <bold>Salinity</bold>
                </td>
                <td>
                  <bold>Boron</bold>
                </td>
                <td rowspan="2">
                  <bold>SAR</bold>
                </td>
                <td rowspan="2">
                  <bold>MAR</bold>
                </td>
                <td rowspan="2">
                  <bold>Na%</bold>
                </td>
                <td rowspan="2">
                  <bold>SSP</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>(mg/L)</bold>
                </td>
              </tr>
              <tr>
                <td>BH01</td>
                <td>6.84</td>
                <td>243</td>
                <td>150</td>
                <td>140</td>
                <td>&lt;2.00</td>
                <td>0.14</td>
                <td>1.3</td>
                <td>6.2</td>
                <td>63</td>
                <td>84.85</td>
                <td>87.74</td>
              </tr>
              <tr>
                <td>BH02</td>
                <td>6.99</td>
                <td>407</td>
                <td>254</td>
                <td>270</td>
                <td>&lt;2.00</td>
                <td>0.24</td>
                <td>0.8</td>
                <td>4.13</td>
                <td>46</td>
                <td>68.4</td>
                <td>68.76</td>
              </tr>
              <tr>
                <td>BH03</td>
                <td>6.07</td>
                <td>119.6</td>
                <td>74.1</td>
                <td>67</td>
                <td>&lt;2.00</td>
                <td>0.07</td>
                <td>1.7</td>
                <td>8.17</td>
                <td>67</td>
                <td>94</td>
                <td>94.36</td>
              </tr>
              <tr>
                <td>R01</td>
                <td>6.67</td>
                <td>124</td>
                <td>78.1</td>
                <td>69</td>
                <td>&lt;2.00</td>
                <td>0.07</td>
                <td>1.3</td>
                <td>6.15</td>
                <td>72</td>
                <td>86.14</td>
                <td>90.88</td>
              </tr>
              <tr>
                <td>S01</td>
                <td>6.49</td>
                <td>120.2</td>
                <td>76.7</td>
                <td>43</td>
                <td>8</td>
                <td>0.07</td>
                <td>1.1</td>
                <td>3.97</td>
                <td>86</td>
                <td>79.72</td>
                <td>82.08</td>
              </tr>
              <tr>
                <td>S02</td>
                <td>6.54</td>
                <td>79.4</td>
                <td>49.5</td>
                <td>26</td>
                <td>&lt;2.00</td>
                <td>0.05</td>
                <td>1.5</td>
                <td>5.42</td>
                <td>56</td>
                <td>90.9</td>
                <td>92.42</td>
              </tr>
              <tr>
                <td>S03</td>
                <td>6.42</td>
                <td>61.5</td>
                <td>38.5</td>
                <td>29</td>
                <td>&lt;2.00</td>
                <td>0.04</td>
                <td>0.8</td>
                <td>0.41</td>
                <td>58</td>
                <td>44.84</td>
                <td>52.58</td>
              </tr>
              <tr>
                <td>S04</td>
                <td>6.5</td>
                <td>107.8</td>
                <td>67.3</td>
                <td>47</td>
                <td>12</td>
                <td>0.07</td>
                <td>1.3</td>
                <td>6.11</td>
                <td>71</td>
                <td>89.39</td>
                <td>90.96</td>
              </tr>
              <tr>
                <td>S05</td>
                <td>6.32</td>
                <td>100.6</td>
                <td>61.6</td>
                <td>40</td>
                <td>&lt;2.00</td>
                <td>0.06</td>
                <td>1.1</td>
                <td>6.04</td>
                <td>62</td>
                <td>90.22</td>
                <td>92.29</td>
              </tr>
              <tr>
                <td>S06</td>
                <td>6.4</td>
                <td>99.6</td>
                <td>62.3</td>
                <td>43</td>
                <td>&lt;2.00</td>
                <td>0.06</td>
                <td>0.8</td>
                <td>4.87</td>
                <td>60</td>
                <td>87.48</td>
                <td>90.17</td>
              </tr>
              <tr>
                <td>S07</td>
                <td>6.53</td>
                <td>101.9</td>
                <td>62.4</td>
                <td>44</td>
                <td>&lt;2.00</td>
                <td>0.06</td>
                <td>0.9</td>
                <td>4.89</td>
                <td>54</td>
                <td>87.27</td>
                <td>89.43</td>
              </tr>
              <tr>
                <td>S08</td>
                <td>6.56</td>
                <td>97.5</td>
                <td>60.8</td>
                <td>41</td>
                <td>&lt;2.00</td>
                <td>0.06</td>
                <td>1.5</td>
                <td>5.54</td>
                <td>63</td>
                <td>89.65</td>
                <td>91.55</td>
              </tr>
              <tr>
                <td>S09</td>
                <td>6.61</td>
                <td>151.1</td>
                <td>95.7</td>
                <td>67</td>
                <td>&lt;2.00</td>
                <td>0.09</td>
                <td>0.9</td>
                <td>7.11</td>
                <td>81</td>
                <td>89.42</td>
                <td>90.94</td>
              </tr>
              <tr>
                <td>S10</td>
                <td>6.55</td>
                <td>107.7</td>
                <td>65.9</td>
                <td>50</td>
                <td>&lt;2.00</td>
                <td>0.07</td>
                <td>1.2</td>
                <td>6.29</td>
                <td>63</td>
                <td>91.05</td>
                <td>92.84</td>
              </tr>
              <tr>
                <td>S11</td>
                <td>6.65</td>
                <td>180.3</td>
                <td>113</td>
                <td>74</td>
                <td>3</td>
                <td>0.11</td>
                <td>1.3</td>
                <td>6.01</td>
                <td>80</td>
                <td>85.15</td>
                <td>86.88</td>
              </tr>
              <tr>
                <td>S12</td>
                <td>6.42</td>
                <td>96.5</td>
                <td>60.7</td>
                <td>45</td>
                <td>6</td>
                <td>0.06</td>
                <td>1.6</td>
                <td>2.92</td>
                <td>73</td>
                <td>76.94</td>
                <td>77.91</td>
              </tr>
              <tr>
                <td>S14</td>
                <td>6.8</td>
                <td>157</td>
                <td>98.1</td>
                <td>62</td>
                <td>&lt;2.00</td>
                <td>0.09</td>
                <td>1.2</td>
                <td>4.17</td>
                <td>61</td>
                <td>78.62</td>
                <td>82.87</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>Total Dissolved Salts</bold></p>
        <p>Total Dissolved Solids (TDS), originating from geogenic weathering and anthropogenic runoff, accumulate in the root zone during evapotranspiration. This raises soil osmotic potential and restricts moisture absorption, inducing “physiological drought”, stunted vegetative growth, and reduced crop yields ([<xref ref-type="bibr" rid="B1">1</xref>]). Within the study area, these geochemical pathways are heavily influenced by surrounding land-use activities, notably active quarry mining operations and the integration of livestock farming within the crop cultivation zones. Quarry mines accelerate geogenic weathering by mechanically fracturing bedrock and exposing fresh mineral surfaces to precipitation, thereby facilitating the dissolution and leaching of inorganic salts into nearby agricultural water and soil systems. Concurrently, the co-practised animal farming introduces a significant anthropogenic footprint; surface runoff and leaching from manure and livestock waste enrich the local hydrological system with highly soluble ions (such as nitrates, chlorides, sodium, and potassium), thereby compounding the regional TDS accumulation. Under the [<xref ref-type="bibr" rid="B17">17</xref>] classification framework, irrigation water is categorised as excellent (&lt;450 mg/L), good (450 - 750 mg/L), permissible (750 - 2000 mg/L), and unsuitable (&gt;2000 mg/L). In the present study, all analysed locations exhibited TDS concentrations well within the excellent threshold (&lt;450 mg/L), representing negligible osmotic and salinity risks for local agricultural activities.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Electrical Conductivity (EC)</title>
        <p>Electrical conductivity (EC) is the primary indicator for assessing irrigation salinity hazards. Elevated EC increases soil osmotic pressure, inducing “physiological drought” that restricts moisture absorption and forces plants to expend metabolic energy to overcome osmotic barriers, leading to cellular dehydration and stunted development ([<xref ref-type="bibr" rid="B1">1</xref>]). According to the US Salinity Laboratory, EC values below 250 μS/cm represent low-salinity hazards, while values exceeding 750 μS/cm pose high-salinity hazards. In this study, all analysed water sources except sample BH02 exhibited low-to-medium salinity hazards, indicating high agricultural suitability with no immediate threat of root-zone salinisation.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Magnesium Adsorption Ratio</title>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/2173837-rId27.jpeg?20260729020532" />
        </fig>
        <p><bold>Figure 2</bold><bold>.</bold> Magnesium adsorption ratio.</p>
        <p>The Magnesium Adsorption Ratio (MAR) assesses structural soil risks, as excess Mg<sup>2+</sup> relative to Ca<sup>2+</sup> induces sodium-like clay dispersion and deflocculation due to the larger hydrated ionic radius and weaker binding affinity of Mg<sup>2+</sup> to clay complexes ([<xref ref-type="bibr" rid="B11">11</xref>]). Under the [<xref ref-type="bibr" rid="B11">11</xref>] framework, values exceeding 50% are categorized as unsuitable/hazardous, whereas those below 50% are considered suitable. In this study, the majority of analysed samples were unsafe (MAR &gt; 50%), with sample BH02 recording a suitable peak of 46%, indicating no immediate magnesium hazard to regional soil structures (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Sodium Percent (Na%)</title>
        <p>The sodium percentage (Na%) assesses agricultural sodicity by calculating the ratio of monovalent Na<sup>+</sup> and K<sup>+</sup> to total cations ([<xref ref-type="bibr" rid="B13">13</xref>]; [<xref ref-type="bibr" rid="B6">6</xref>]; [<xref ref-type="bibr" rid="B14">14</xref>]). Excessive sodium displaces divalent Ca<sup>2+</sup> and Mg<sup>2+</sup> on clay complexes, triggering clay dispersion, colloid swelling, and macro-porosity collapse ([<xref ref-type="bibr" rid="B10">10</xref>]; [<xref ref-type="bibr" rid="B12">12</xref>]).</p>
        <p>The [<xref ref-type="bibr" rid="B17">17</xref>] framework classifies irrigation suitability based on Na% limits: excellent (&lt;20%), good (20% - 40%), permissible (40% - 60%), doubtful (60% - 80%), and unsuitable (&gt;80%). Hydrochemical analysis showed that the majority of study samples were unsuitable (Na% &gt; 80%), with only S01, S12, S14, and BH02 classified as doubtful ([<xref ref-type="bibr" rid="B13">13</xref>]) and S03 as permissible ([<xref ref-type="bibr" rid="B6">6</xref>]). This severe sodium footprint threatens long-term soil alkalization and compaction, necessitating calcium-rich soil amendments ([<xref ref-type="bibr" rid="B17">17</xref>]; <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
        <fig id="fig3">
          <label>Figure 3</label>
          <graphic xlink:href="https://html.scirp.org/file/2173837-rId28.jpeg?20260729020532" />
        </fig>
        <p><bold>Figure 3</bold><bold>.</bold> Sodium percentage distribution.</p>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Sodium Adsorption Ratio (SAR)</title>
        <p>Compared to the sodium percentage, the Sodium Adsorption Ratio (SAR) is a more reliable predictor of soil permeability hazards because it accounts for the flocculating and mitigating effects of divalent Ca<sup>2+</sup> and Mg<sup>2+</sup> on clay dispersion ([<xref ref-type="bibr" rid="B13">13</xref>]). This mathematical relationship is defined in Equation (6), with all ionic concentrations expressed in milliequivalents per litre (meq/L).</p>
        <p>SAR = [Na<sup>+</sup>]/√(0.5 × ([Ca<sup>2+</sup>] + [Mg<sup>2+</sup>])) (6)</p>
        <p>Applying high-SAR water increases the soil’s exchangeable sodium percentage (ESP), causing clay lattice swelling, soil aggregate breakdown, and surface physical sealing, which severely restricts water infiltration and induces crop water stress and poor root aeration ([<xref ref-type="bibr" rid="B10">10</xref>]; [<xref ref-type="bibr" rid="B12">12</xref>]). Under standard classifications, water with an SAR &lt; 10 is classified as “Excellent” (low hazard), while values exceeding 26 are unsuitable.</p>
        <p>Under the [<xref ref-type="bibr" rid="B6">6</xref>] frameworks, irrigation water is classified by SAR into excellent (&lt;10, low hazard), good (10 - 18, medium hazard), fair (19 - 26, high hazard), and poor/unsuitable (&gt;26, very high hazard). Despite elevated sodium percentages (Na%) in this study, all calculated SAR values remained within the safe “Excellent” to “Good” ranges (SAR &lt; 18), demonstrating that divalent cations successfully mitigate immediate soil sodicity risks (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
        <fig id="fig4">
          <label>Figure 4</label>
          <graphic xlink:href="https://html.scirp.org/file/2173837-rId29.jpeg?20260729020532" />
        </fig>
        <p><bold>Figure 4</bold><bold>.</bold> Sodium adsorption ratio.</p>
      </sec>
      <sec id="sec3dot6">
        <title>3.6. Soluble Sodium Percentage (SSP)</title>
        <p>Distinct from SAR, the Soluble Sodium Percentage (SSP) evaluates irrigation sodicity hazards by calculating the ratio of soluble monovalent Na<sup>+</sup> and K<sup>+</sup> to total cations, expressed in meq/L in Equation (7).</p>
        <p>SSP = ([Na<sup>+</sup>] + [K<sup>+</sup>]/[Ca<sup>2+</sup>] + [Mg<sup>2+</sup>] + [Na<sup>+</sup>] + [K<sup>+</sup>]) × 100 (7)</p>
        <p>An SSP &gt; 50% promotes exchangeable sodium accumulation, clay dispersion, and pore blockage, severely degrading soil permeability and inducing root-zone waterlogging and stunted crop growth ([<xref ref-type="bibr" rid="B5">5</xref>]). All analyzed samples exceeded this critical threshold, making them unsuitable for continuous irrigation without amendments. This elevated sodium footprint stems from both geogenic silicate weathering and anthropogenic contributions (e.g., fertilizer leaching, greywater runoff). Standard agricultural classifications ([<xref ref-type="bibr" rid="B17">17</xref>]) define suitability based on SSP: excellent (&lt;20%), good (20% - 40%), permissible (41% - 60%), doubtful (61% - 80%), and unsuitable (&gt;80%).</p>
      </sec>
      <sec id="sec3dot7">
        <title>3.7. Specific Hydrochemical Parameters and Crop Suitability</title>
        <p>3.7.1. Potential Hydrogen (pH) and Overall Salinity HazardSource Apportionment</p>
        <p>Irrigation water pH controls soil chemical equilibrium and nutrient bioavailability. While alkaline water (pH &gt; 8.5) promotes calcium carbonate (CaCO<sub>3</sub>) precipitation and physical blockages in micro-irrigation systems ([<xref ref-type="bibr" rid="B5">5</xref>]), sub-optimal acidic water (pH &lt; 6.5) was observed in samples BH03, S01, S03, S05, S06 and S12. Continuous acidic irrigation enhances the solubility of toxic trivalent aluminum (Al<sup>3</sup><sup>+</sup>) and divalent manganese (Mn<sup>2+</sup>), causing phytotoxicity and stunted root elongation, while accelerating basic cation leaching (Ca<sup>2+</sup>, Mg<sup>2+</sup>, K<sup>+</sup>) and fixing orthophosphates into insoluble complexes. </p>
        <p>Conversely, overall salinity poses no immediate osmotic hazards. Elevated salinity disrupts root moisture uptake by lowering soil osmotic potential, inducing physiological drought, leaf necrosis, and yield loss ([<xref ref-type="bibr" rid="B5">5</xref>]). All analyzed water samples remained safely below the FAO “No Restriction” threshold (EC &lt; 0.7 dS/m; TDS &lt; 450 mg/L), indicating negligible osmotic risks.</p>
        <p>3.7.2. Specific Ion Hazards: Boron (B) and Chloride (Cl<sup>−</sup>)</p>
        <p>Boron (B) possesses an exceptionally narrow safety margin; deficiency halts meristematic growth, while excess accumulates in leaf margins, causing chlorosis, photosynthesis disruption, and necrosis ([<xref ref-type="bibr" rid="B5">5</xref>]). In this study, 100% of the samples exceeded the FAO safety threshold of 0.7 mg/L (ranging from 0.80 to 1.70 mg/L), indicating a widespread boron toxicity risk. This elevated footprint is attribute to geogenic weathering of borosilicates, exacerbated by anthropogenic fertilizers and detergent-laden greywater. </p>
        <p><bold>Table 2</bold>. Hydrochemical analytical results of monitored water samples.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>Sample ID</td>
                <td>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:msubsup>
                          <mml:mrow>
                            <mml:mtext>SO</mml:mtext>
                          </mml:mrow>
                          <mml:mtext>4</mml:mtext>
                          <mml:mrow>
                            <mml:mtext>2</mml:mtext>
                            <mml:mo>−</mml:mo>
                          </mml:mrow>
                        </mml:msubsup>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                  (ppm)
                </td>
                <td>
                  Cl
                  <sup>−</sup>
                  (ppm)
                </td>
                <td>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:msubsup>
                          <mml:mrow>
                            <mml:mtext>CO</mml:mtext>
                          </mml:mrow>
                          <mml:mtext>3</mml:mtext>
                          <mml:mrow>
                            <mml:mtext>2</mml:mtext>
                            <mml:mo>−</mml:mo>
                          </mml:mrow>
                        </mml:msubsup>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                  (ppm)
                </td>
                <td>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mrow>
                        <mml:msubsup>
                          <mml:mrow>
                            <mml:mtext>HCO</mml:mtext>
                          </mml:mrow>
                          <mml:mtext>3</mml:mtext>
                          <mml:mrow>
                            <mml:mtext>2</mml:mtext>
                            <mml:mo>−</mml:mo>
                          </mml:mrow>
                        </mml:msubsup>
                      </mml:mrow>
                    </mml:math>
                  </inline-formula>
                  (ppm)
                </td>
                <td>Na (ppm)</td>
                <td>K (ppm)</td>
                <td>Ca (ppm)</td>
                <td>Mg (ppm)</td>
                <td>Fe (ppm)</td>
              </tr>
              <tr>
                <td>BH01</td>
                <td>&lt;5.00</td>
                <td>&lt;0.50</td>
                <td>0</td>
                <td>57</td>
                <td>25</td>
                <td>3.7</td>
                <td>3</td>
                <td>3.06</td>
                <td>0.53</td>
              </tr>
              <tr>
                <td>BH02</td>
                <td>45</td>
                <td>4.3</td>
                <td>0</td>
                <td>75</td>
                <td>35</td>
                <td>0.8</td>
                <td>19.4</td>
                <td>9.84</td>
                <td>&lt;0.01</td>
              </tr>
              <tr>
                <td>BH03</td>
                <td>13</td>
                <td>5</td>
                <td>0</td>
                <td>25</td>
                <td>18</td>
                <td>0.3</td>
                <td>0.8</td>
                <td>0.97</td>
                <td>&lt;0.01</td>
              </tr>
              <tr>
                <td>R01</td>
                <td>&lt;5.00</td>
                <td>5.9</td>
                <td>0</td>
                <td>44</td>
                <td>18</td>
                <td>4.3</td>
                <td>1.2</td>
                <td>1.85</td>
                <td>8.33</td>
              </tr>
              <tr>
                <td>S01</td>
                <td>49</td>
                <td>3.2</td>
                <td>0</td>
                <td>43</td>
                <td>16</td>
                <td>2</td>
                <td>1.1</td>
                <td>4.21</td>
                <td>1.19</td>
              </tr>
              <tr>
                <td>S02</td>
                <td>11</td>
                <td>1.3</td>
                <td>0</td>
                <td>24</td>
                <td>11</td>
                <td>0.8</td>
                <td>0.9</td>
                <td>0.69</td>
                <td>0.22</td>
              </tr>
              <tr>
                <td>S03</td>
                <td>10</td>
                <td>2</td>
                <td>0</td>
                <td>27</td>
                <td>0.8</td>
                <td>0.6</td>
                <td>0.8</td>
                <td>0.66</td>
                <td>5.2</td>
              </tr>
              <tr>
                <td>S04</td>
                <td>9</td>
                <td>3.3</td>
                <td>0</td>
                <td>17</td>
                <td>17</td>
                <td>1.3</td>
                <td>1.1</td>
                <td>1.66</td>
                <td>2.17</td>
              </tr>
              <tr>
                <td>S05</td>
                <td>&lt;5.00</td>
                <td>2.1</td>
                <td>0</td>
                <td>18</td>
                <td>14</td>
                <td>1.4</td>
                <td>1</td>
                <td>1.01</td>
                <td>1.77</td>
              </tr>
              <tr>
                <td>S06</td>
                <td>11</td>
                <td>3.4</td>
                <td>0</td>
                <td>21</td>
                <td>12</td>
                <td>1.6</td>
                <td>1.2</td>
                <td>1.1</td>
                <td>4.64</td>
              </tr>
              <tr>
                <td>S07</td>
                <td>&lt;5.00</td>
                <td>&lt;0.50</td>
                <td>0</td>
                <td>19</td>
                <td>13</td>
                <td>1.4</td>
                <td>1.6</td>
                <td>1.16</td>
                <td>2.19</td>
              </tr>
              <tr>
                <td>S08</td>
                <td>&lt;5.00</td>
                <td>3.3</td>
                <td>0</td>
                <td>15</td>
                <td>13</td>
                <td>1.2</td>
                <td>1</td>
                <td>1.05</td>
                <td>1.3</td>
              </tr>
              <tr>
                <td>S09</td>
                <td>5</td>
                <td>3.2</td>
                <td>0</td>
                <td>37</td>
                <td>23</td>
                <td>1.7</td>
                <td>1</td>
                <td>2.54</td>
                <td>7.62</td>
              </tr>
              <tr>
                <td>S10</td>
                <td>&lt;5.00</td>
                <td>3.3</td>
                <td>0</td>
                <td>17</td>
                <td>14</td>
                <td>1.2</td>
                <td>0.9</td>
                <td>0.94</td>
                <td>1.82</td>
              </tr>
              <tr>
                <td>S11</td>
                <td>12</td>
                <td>6.3</td>
                <td>0</td>
                <td>54</td>
                <td>25</td>
                <td>2.2</td>
                <td>1.7</td>
                <td>4.18</td>
                <td>9.75</td>
              </tr>
              <tr>
                <td>S12</td>
                <td>11</td>
                <td>3.2</td>
                <td>0</td>
                <td>45</td>
                <td>11</td>
                <td>0.6</td>
                <td>1.9</td>
                <td>3.12</td>
                <td>9.27</td>
              </tr>
              <tr>
                <td>S14</td>
                <td>&lt;5.00</td>
                <td>2.1</td>
                <td>0</td>
                <td>55</td>
                <td>17</td>
                <td>4</td>
                <td>3.2</td>
                <td>3.06</td>
                <td>0.74</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Conversely, chloride (Cl<sup>−</sup>) poses no agricultural threat. Although excess chloride can accumulate in foliar tissues via transpiration to cause leaf necrosis ([<xref ref-type="bibr" rid="B5">5</xref>]), concentrations across all monitored sites were exceptionally low (&lt;0.50 to 6.30 mg/L), remaining orders of magnitude below conservative FAO thresholds of 142 mg/L (surface) and 106 mg/L (sprinkler). The comprehensive hydrochemical concentrations of these major anions and cations across the monitored locations are compiled in <bold>Table 2</bold>.</p>
        <p>3.7.3. Operational and Agronomic Hazards: Iron (Fe) and Residual Sodium Carbonate (RSC) Source Apportionment</p>
        <p>Dissolved iron (Fe) concentrations exceeded the FAO safety threshold of 1.0 mg/L in the majority of samples ([<xref ref-type="bibr" rid="B5">5</xref>]), with severe elevations in S11 (9.75 mg/L), S12 (9.27 mg/L), R01 (8.33 mg/L), and S09 (7.62 mg/L); only BH01, BH02, BH03, S02, and S14 were safe. Operationally, dissolved Fe<sup>2+</sup> undergoes aeration-induced oxidation to precipitate as insoluble ferric hydroxide (Fe(OH)<sub>3</sub>) slime, which promotes bacterially mediated emitter clogging. Agronomically, excess soluble iron under acidic conditions binds with phosphate anions to form insoluble complexes, locking out essential phosphorus and molybdenum. </p>
        <p>Lastly, bicarbonate-induced hazards, assessed via the Residual Sodium Carbonate (RSC) index, were negligible. All samples fell safely within the acceptable limit of &lt;1.5 meq/L, indicating zero risk of bicarbonate-induced soil or crop degradation.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Conclusions</title>
      <p>This study executed a comprehensive hydrochemical evaluation of surface and groundwater sources to determine their suitability for sustainable agricultural irrigation. From a basic salinity and sodicity perspective, standard parameters—specifically Electrical Conductivity (EC &lt; 250 μS/cm), Total Dissolved Solids (TDS &lt; 450 mg/L), and Sodium Adsorption Ratio (SAR &lt; 10)—indicate that all monitored sources present low-salinity hazards, falling within the “Excellent” (S1/C1) category with negligible risks of immediate osmotic crop stress.</p>
      <p>However, a deeper physical-chemical and agronomic assessment reveals critical, long-term degradation pathways.</p>
      <p>The water sources pose a severe cumulative risk of soil structural collapse. The Magnesium Adsorption Ratio (MAR) exceeded the critical 50% suitability threshold in 16 out of 17 samples (reaching a peak of 86% in sample S01), with borehole BH02 (46%) as the sole safe exception. This magnesium dominance is heavily exacerbated by elevated Sodium Percentages (Na% &gt; 80%) and Soluble Sodium Percentages (SSP &gt; 80%) at most sites. Because the water is concurrently characterised by extremely low Total Hardness (TH &lt; 2.0 mg/L as CaCO<sub>3</sub>), continuous irrigation with these calcium-deficient, sodium- and magnesium-rich waters will inevitably trigger clay dispersion, colloid swelling, pore blockage, and a severe loss of soil hydraulic conductivity.</p>
      <p>The study identified a critical Boron (B) crisis, with 100% of the analysed samples exceeding the safety threshold of 0.7 mg/L (0.8 to 1.7 mg/L), presenting severe phytotoxicity risks for sensitive crops. This is compounded by severe Iron (Fe) pollution in several surface and river samples—notably S11 (9.75 mg/L) and S12 (9.27 mg/L)—which exceeds the 1.0 mg/L limit, presenting a dual risk of clogging micro-irrigation emitters with ferric slime and chemically locking up essential orthophosphate and molybdenum. Furthermore, localised sub-optimal pH levels (pH &lt; 6.5, notably in borehole BH03 [6.07]) will accelerate the leaching of basic nutrients while increasing heavy metal bioavailability.</p>
      <p>Consequently, while suitable from an osmotic salinity standpoint, these water sources present long-term structural and chemical threats to the receiving soil-crop system, necessitating the use of calcium-rich soil amendments (such as gypsum) and targeted filtration systems to ensure sustainable agricultural production.</p>
    </sec>
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