<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1105698</article-id><article-id pub-id-type="publisher-id">OALibJ-94867</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Agro-Industrial Groundwater Quality Abuja FCT, Nigeria: An Evaluation for Urban and Peri-Urban (UPA) Agricultural Irrigation
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Richard</surname><given-names>Ayuk II Akoachere</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Omogbemi</surname><given-names>Omoloju Yaya</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Areakpoh</surname><given-names>Thomson Eyong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marcelle-Carole</surname><given-names>Pami Ngassam</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ernest</surname><given-names>Lytia Molua</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Raymond</surname><given-names>Ndip Nkongho</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Elizabeth</surname><given-names>Orock Ayuk</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tom</surname><given-names>Tabi Oben</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff5"><addr-line>Department of Agronomy and Applied Molecular Sciences, University of Buea, Buea, Cameroon</addr-line></aff><aff id="aff2"><addr-line>National Water Resources Institute, Kaduna, Nigeria</addr-line></aff><aff id="aff4"><addr-line>Department of Agricultural Economics and Agribusiness, University of Buea, Buea, Cameroon</addr-line></aff><aff id="aff1"><addr-line>Department of Geology, University of Buea, Buea, Cameroon</addr-line></aff><aff id="aff6"><addr-line>Department of Environmental Science, University of Buea, Buea, Cameroon</addr-line></aff><aff id="aff3"><addr-line>Department of Agricultural and Environmental Engineering, Pan African University/University of Ibadan, Ibadan, Nigeria</addr-line></aff><pub-date pub-type="epub"><day>03</day><month>09</month><year>2019</year></pub-date><volume>06</volume><issue>09</issue><fpage>1</fpage><lpage>19</lpage><history><date date-type="received"><day>12,</day>	<month>August</month>	<year>2019</year></date><date date-type="rev-recd"><day>2,</day>	<month>September</month>	<year>2019</year>	</date><date date-type="accepted"><day>5,</day>	<month>September</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  From the declaration made by the African Mayors in Senegal; the Mayors and Municipal Health Officers of the Americas in Columbia; the City Executives of Cities and Local Governments of the World in Spain and in the context of the Millennium Development Goals MDG 1&amp;7; there is a need for increased food production in urban and peri-urban areas UPA in the world. Sub-Saharan Africa faces more development challenges than any other major region of the world with most of the people living in slums, without access to adequate food, water, or sanitation. UPA contributes to increased food security, nutrition and livelihoods in a combination of ways giving access to consumer markets; less need for packaging, storage and transportation of food; potential agricultural-related jobs and incomes; non-ma
  rket access to food for poor consumers; availability of fresh, perishable food. In Abuja FCT, 40% of the populations in UPA are farmers, a reason why the agricultural quality of its groundwater which is used for irrigation begs for our attention. 33% of the fresh vegetables in the Abuja Federal Capital Territory (FCT) are produced in Abuja UPA. In order to assess groundwater for agro-industrial suitability the following were used: Physicochemical parameters (pH, Temperature, Electrical Conductivity), Sodium Adsorption Ratio SAR, Permeability Index PI, Magnesium Adsorption Ratio MAR, Percent Sodium %Na, Kelly’s Ratio KR and Residual Sodium Carbonate RSC and the Wilcox diagram. pH ranged from, 4.8 - 7.9; EC, 13.4 - 1634 μS/cm; Temperature, 26℃ - 36.1℃ and TDS, 17.42 - 1094.78 mg/L.SAR (0.1 &gt; SAR &lt; 2.1), Percent Sodium (7.11 &gt; %Na &lt; 100), KR (0 &gt; KR &lt; 0.68), RSC (-9.8 &gt; RSC &lt; 0.55), PI (13.9 &gt; PI &lt; 932.4), and MAR (0 &gt; MAR &lt; 80.1). Comparing these values to WHO and the Nigerian Water Quality guidelines, SAR, %Na, KR, RSC, values are 100% suitable, while PI, 96.81% suitable, and MAR 56.46% unsuitable respectively for irrigational purposes in agriculture. The quality classifications of irrigation water based on the values: Sodium Adsorption Ratio SAR, Wilcox, Kelley Ratio KR, Residual Sodium Carbonate RSC, Permeability Index PI and Percent Sodium %Na; indicate that groundwater of Abuja FCT is suitable for irrigation purpose on all soil types and that the groundwater will not degrade the soil. However, United States Soil Salinity USSL Index of Abuja FCT groundwater fall in “very low to high salinity” and “low sodium hazard zone” and Magnesium Adsorption Ratio MAR indicates half of the groundwater as “not suitable”. Hence the groundwater in Abuja FCT should be used only on soils that are well drained.
 
</p></abstract><kwd-group><kwd>Irrigational-Water-Quality</kwd><kwd> Agro-Industrial-Indices</kwd><kwd>  Urban-Peri-Urban-Agriculture</kwd><kwd> Abuja FCT</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>From the declaration made by the African Mayors in Senegal; the Mayors and Municipal Health Officers of the Americas in Columbia; the City Executives of Cities and Local Governments of the World in Spain and in the context of the Millennium Development Goals MDG 1&amp;7; according to [<xref ref-type="bibr" rid="scirp.94867-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref2">2</xref>] , there is a need for increased food production in Urban and Peri-Urban areas (UPA) in the world to feed this influx population.</p><p>Sub-Saharan Africa (SSA) faces more development challenges than any other major region of the World. By 2030, it is predicted that almost half (48.3 percent) of SSA’s population will be urban. Most of these people will be living in slums, without access to adequate food, water, or sanitation. Urban poverty in SSA has a broader meaning of cumulative deprivation, characterized by squalid living conditions, risk to health and life from poor sanitation, air pollution, natural disasters, and the breakdown of traditional family and community safety-networks as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref3">3</xref>] .</p><p>UPA contributes to increased food security, nutrition and livelihoods in a combination of ways as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref4">4</xref>] providing:</p><p>1) For family self-consumption, contributing to healthy diet/allowing for saving on food expenditures</p><p>2) A source of income; sale of surplus or specialized and intensified commercial production systems</p><p>3) The supply of local markets with fresh and micronutrient rich foods at competitive prices</p><p>4) A continuum of tree cover: landscape management, use of agroforestry systems and hedgerows.</p><p>According to [<xref ref-type="bibr" rid="scirp.94867-ref5">5</xref>] the opportunities include:</p><p>1) Access to consumer markets;</p><p>2) Less need for packaging, storage and transportation of food;</p><p>3) Potential agricultural-related jobs and incomes;</p><p>4) Non-market access to food for poor consumers;</p><p>5) Availability of fresh, perishable food;</p><p>6) Proximity to services, including waste treatment facilities;</p><p>7) Wastes and by-products recycling and re-use possibilities.</p><p>The risks as stated by [<xref ref-type="bibr" rid="scirp.94867-ref6">6</xref>] include:</p><p>1) Environmental and health risks from inappropriate agricultural and aquaculture practices;</p><p>2) Increased competition for land, water, energy, and labor.</p><p>In Abuja FCT, 40% of the population in the urban and peri-urban area UPA are farmers as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref2">2</xref>] , a reason why the agricultural quality of its groundwater begs for our attention. 33% of the fresh vegetables in the Abuja Federal Capital Territory (FCT) are produced in Abuja UPA. Irrigation waters derived from springs, diverted from streams, or pumped from wells, contain appreciable quantities of chemical substances in solution that may reduce crop yield and deteriorate soil fertility. In addition to the dissolved salts, which have been the major problem for centuries, irrigation water always carries substances derived from its natural environment or from the waste products of man’s activities (domestic and industrial effluents). Small-scale irrigation continues to cushion the food security gap in sub-Saharan Africa. Irrigation is largely governed by water availability, soil type and crop water requirements, among other factors.</p><p>The study aims to evaluate the quality of groundwater for irrigation purposes in Abuja FCT. The water quality parameters used are: pH, electrical conductivity (EC), Total Dissolved Solids (TDS), sodium adsorption ratio (SAR), sodium percent (Na%), magnesium adsorption ratio (MAR), Kelley’s ratio (KR), Residual Sodium Carbonate (RSC), chloride (Cl) and the Permeability Index (PI).</p><p>The Abuja (FCT) bounded between 8˚45 - 9˚40'N and 6˚50’ E - 8˚55'E and covering an area of about 8000 km<sup>2</sup> was conceived with adequate allocation of resources, to be a model city of urbanization in sub-Saharan Africa.</p><p>Plagued by challenges of water quantity and most times even when there is adequate quantity the water is of dubious quality due to a multitude of reasons least which stems from handling.</p><sec id="s1_1"><title>1.1. Location</title><p>The study area lies between 8.92N - 9.20N and 7.25E - 7.60E in Abuja Federal Capital Territory (FCT) as seen in <xref ref-type="fig" rid="fig1">Figure 1</xref>. It is bounded in the east by Nasarawa State, north by Kaduna State, west by Niger State and south by Kogi State.</p></sec><sec id="s1_2"><title>1.2. Physiology</title><p>The topography of Abuja is undulating with hills and an inselberg that rise northwestwards to a maximum of 1060 m above sea level. There are extensive plains found between hills in the study area. The Zuma rock stands out clearly on its own as the most conspicuous inselberg at the boundary of the Abuja with Niger State. The lowest elevations are in the southwestern flood plains of the River Gurara, about 76 m above sea level.</p><p>The rivers rise from the hills in the northeast and flow to the southwest. The area is drained by many rivers in and around Abuja including Rivers Gwagwalada and Usmanu while Rivers Wupa, Wosika and other smaller seasonal southerly-flowing streams form the tributaries and drain the study area. The drainage pattern generally varies from trellis to dendritic. The major rivers join at Nyimbo village to form a tributary of River Niger in the south. These rivers depend on rainfall for their recharge. As such, their stages are high in rainy season and decrease drastically during the dry season.</p></sec><sec id="s1_3"><title>1.3. Climate</title><p>The area has its highest temperature of about 36˚C during the dry season, November to March. During the rainy season April to October, the temperature drops to a maximum of 24˚C as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref7">7</xref>] . The annual rainfall ranges from 1100 mm to 1600 mm as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref8">8</xref>] . Two types of vegetation occur; the forest predominantly of woody plants thorn bushes and trees in which grasses are virtually absent comprise mainly of secondary forest, which is continuously degraded for subsistence farming and habitation and the savanna herbs and shrubs, the study area being in Guinean Savanna Vegetation Zone of Nigeria.</p></sec><sec id="s1_4"><title>1.4. Geology</title><p>The geology of Abuja FCT has been described by many workers, including [<xref ref-type="bibr" rid="scirp.94867-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref10">10</xref>] . It is underlain by Precambrian rocks of the Nigerian Basement Complex which cover about 85% of the land surface and cretaceous sedimentary rocks belonging to the Bida Basin which cover the remaining 15%.</p></sec></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Field Mapping, Measurements and Sampling</title><p>Ninety-four (94) groundwater samples were collected from productive boreholes in the study area after a geological traverse field mapping exercise and borehole water field testing for physico-chemical parameters, following standard sampling protocols as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref11">11</xref>] as seen in <xref ref-type="fig" rid="fig2">Figure 2</xref>. Boreholes for tests and measurements were selected based on three criteria:</p><p>1) Availability of data</p><p>2) Being functional and in use</p><p>3) Not deeper than our water level indicator 50 m and Sonar bottom sounder 61 m.</p><p>Groundwater samples were analyzed as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref12">12</xref>] at Activation Laboratory (Actlabs), Canada. The following groundwater and borehole physical parameters were measured in-situ in the field using calibrated field instruments; Hanna HI 98127 (pH), HI 98304 (EC), HI 96304 (TDS), HI 9147 (DO), Groundwater temperature and electrical conductivity in boreholes was profiled real-time using Solinstlevelogger for Static Water Level measurements as shown <xref ref-type="table" rid="table1">Table 1</xref>. Geolocation and elevation measurements of boreholes were done using a Global Positioning System (GPS) Garmin 60CSx.</p><p>In order to assess groundwater for agro-industrial suitability the following parameters were used; sodium adsorption ratio SAR, permeability index PI,</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Field equipment, specifications and functions</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Equipment/Softwares</th><th align="center" valign="middle" >Specifications</th><th align="center" valign="middle" >Functions</th></tr></thead><tr><td align="center" valign="middle" >Bike</td><td align="center" valign="middle" >Commercial bikes (Achaba)</td><td align="center" valign="middle" >To transport fieldworkers to wells</td></tr><tr><td align="center" valign="middle" >GPS</td><td align="center" valign="middle" >Garmin GPSMAP 60CSx</td><td align="center" valign="middle" >To measure longitude, latitude and elevation of wells</td></tr><tr><td align="center" valign="middle" >EC Meter</td><td align="center" valign="middle" >Hanna HI 98304/HI98303</td><td align="center" valign="middle" >To measure Electrical Conductivity of water.</td></tr><tr><td align="center" valign="middle" >pH Meter</td><td align="center" valign="middle" >Hanna HI 98127/HI98107</td><td align="center" valign="middle" >To measure pH of water.</td></tr><tr><td align="center" valign="middle" >Water level indicator</td><td align="center" valign="middle" >Solinst Model 102M</td><td align="center" valign="middle" >To indicate static water levels of water in wells</td></tr><tr><td align="center" valign="middle" >Measuring Tape</td><td align="center" valign="middle" >Weighted measuring tape</td><td align="center" valign="middle" >Measurement of well diameter and depth.</td></tr><tr><td align="center" valign="middle" >Digital Thermometer</td><td align="center" valign="middle" >Extech 39240 (−50˚C to 200˚C)</td><td align="center" valign="middle" >To measure temperature of water</td></tr><tr><td align="center" valign="middle" >Total Dissolved Solid meter</td><td align="center" valign="middle" >Hanna HI 96301 with ATC</td><td align="center" valign="middle" >To measure Total dissolved solids in water</td></tr><tr><td align="center" valign="middle" >Water sampler</td><td align="center" valign="middle" >Gallenkampf 1000 ml</td><td align="center" valign="middle" >To collect well water sample from well</td></tr><tr><td align="center" valign="middle" >Sample bottles</td><td align="center" valign="middle" >Polystyrene 500 ml</td><td align="center" valign="middle" >To hold sample for onward transmission to laboratory</td></tr><tr><td align="center" valign="middle" >Global Mapper</td><td align="center" valign="middle" >Version 15</td><td align="center" valign="middle" >GIS Geolocation of wells</td></tr><tr><td align="center" valign="middle" >Surfer Software</td><td align="center" valign="middle" >Version 12</td><td align="center" valign="middle" >GIS plotting contours for spatial distribution</td></tr><tr><td align="center" valign="middle" >AqQA/Aquachem</td><td align="center" valign="middle" >Version 1.5</td><td align="center" valign="middle" >For the analysis/interpretation of water chemistry</td></tr></tbody></table></table-wrap><p>Magnesium adsorption ratio MAR , percent sodium %Na, Kelly’s ratio KR and Residual sodium carbonate RSC and Wilcox diagram as shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>Data from the geological traverse field mapping, field tests, field measurements and laboratory analysis were placed on MS Excel spreadsheets, and then mounted unto various GIS and software platforms, Rockworks14, Surfer V12, Grapher, AQqa and Enviroinsite where they were vigorously queried as shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Physicochemical Parameters</title><p>The measured physicochemical parameters of groundwater in Abuja FCT: Temperature, pH, EC and TDS for 94 boreholes were evaluated as shown in <xref ref-type="table" rid="table3">Table 3</xref>.</p></sec><sec id="s3_2"><title>3.2. Digital Elevation Model</title><p>Abuja has an undulating relief of hills and valleys. The land surface is covered by top soil in most areas as seen in <xref ref-type="fig" rid="fig3">Figure 3</xref>. The topography of the Abuja is varied with the lowest elevations in the extreme southwest at the floodplains of the River Gurara, about 76 m above sea level and it rises irregularly northwestwards to a height of 760 m above sea level. There are numerous hills that occur in the area but the Zuma rock stands out clearly on its own as the most conspicuous Inselberg at the boundary of the Abuja with Niger State.</p></sec><sec id="s3_3"><title>3.3. Water Level Fluctuations</title><p>Groundwater levels range from 3 - 12.5 as seen in <xref ref-type="fig" rid="fig4">Figure 4</xref>. Relatively higher water levels are at Kwalita, Galadimawa, Wupa, Pigba, Kurundu and Pyeti whereas lower values are at Pedegma, Nukuchi, Durumi and Zangl. These low depths to</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Indices used in the calculation of irrigation water quality</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Formula</th><th align="center" valign="middle" >Reference</th></tr></thead><tr><td align="center" valign="middle" >Percentage Sodium</td><td align="center" valign="middle" >% Na = Na + + K + Na + + K s + + Ca 2 + + Mg 2 + &#215; 100</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.94867-ref13">13</xref>]</td></tr><tr><td align="center" valign="middle" >Kelly’s Ratio</td><td align="center" valign="middle" >KR = Na + Ca 2 + + Mg 2 +</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.94867-ref14">14</xref>]</td></tr><tr><td align="center" valign="middle" >Magnesium Adsorption Ratio</td><td align="center" valign="middle" >MAR = ( Mg 2 + Mg 2 + + Ca 2 + ) &#215; 100</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.94867-ref15">15</xref>]</td></tr><tr><td align="center" valign="middle" >Residual Sodium Carbonate</td><td align="center" valign="middle" >RSC = ( CO 3 + HCO 3 − ( Ca + Mg ) )</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.94867-ref16">16</xref>]</td></tr><tr><td align="center" valign="middle" >Sodium Adsorption Ratio</td><td align="center" valign="middle" >SAR = Na Ca + Mg 2</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.94867-ref17">17</xref>]</td></tr><tr><td align="center" valign="middle" >Permeability Index</td><td align="center" valign="middle" >PI = ( ( Na + K ) + HCO 3 ) ∗ 100 Ca + Mg + Na + K</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.94867-ref18">18</xref>]</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Basic statistics of the physicochemical parameters found in Abuja groundwater, min, max, mean and standard deviation</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Min</th><th align="center" valign="middle" >Max</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >Std</th></tr></thead><tr><td align="center" valign="middle" >T (˚C)</td><td align="center" valign="middle" >26.0</td><td align="center" valign="middle" >36.1</td><td align="center" valign="middle" >31.35</td><td align="center" valign="middle" >2.19</td></tr><tr><td align="center" valign="middle" >PH</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >7.9</td><td align="center" valign="middle" >6.04</td><td align="center" valign="middle" >0.67</td></tr><tr><td align="center" valign="middle" >EC (mS/cm)</td><td align="center" valign="middle" >13.4</td><td align="center" valign="middle" >1634</td><td align="center" valign="middle" >265.21</td><td align="center" valign="middle" >281.26</td></tr><tr><td align="center" valign="middle" >TDS (mg/L)</td><td align="center" valign="middle" >17.42</td><td align="center" valign="middle" >1094.78</td><td align="center" valign="middle" >178.88</td><td align="center" valign="middle" >187.74</td></tr></tbody></table></table-wrap><p>water are prone to pollution if the wells are not appropriately constructed and protected.</p></sec><sec id="s3_4"><title>3.4. Temperature</title><p>The temperature of the groundwater in Abuja is relatively high; range from 26.0 - 36.1 as seen in <xref ref-type="fig" rid="fig5">Figure 5</xref>. The temperature variation was similar in the different</p><p>areas, suggesting a single aquifer since groundwater in the same aquifers have similar parameter values and temperature is one of them.</p></sec><sec id="s3_5"><title>3.5. pH</title><p>pH is the concentration of hydrogen ions (H<sup>+</sup>) and hydroxyl ions (OH<sup>−</sup>) in water. Groundwater redox potential depends on the number of cations and anions in solution since pH determines the ions dissolved or precipitated in the groundwater. As the pH of the irrigation water increases above 8.2, the potential for sodium dissolution in the soil increases. The generally accepted pH for irrigation water is between 5.5 and 7.5 as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref19">19</xref>] . Good irrigation water tends to be alkaline, commonly in the range of pH 7.2 to 8.5. The pH of groundwater in Abuja FCT, range from 4.8 - 7.9 as seen in <xref ref-type="fig" rid="fig6">Figure 6</xref>. A total of 71 of groundwater (75.5%) in the study area had pH within the acceptable limits for irrigation whereas 23 of the samples (24.5%) are unsuitable for irrigation.</p></sec><sec id="s3_6"><title>3.6. Electrical Conductivity</title><p>The primary effect of high EC water on crop productivity is the inability of the plant to compete for ions in the soil solution for water due to negative osmotic pressure gradient which causes physiological drought though even when the soil is wet. Based on EC values, irrigation water is classified into different classes. EC values in &#181;S/cm between 0 - 100, excellent class, EC 101 - 250 very good, EC 251 - 750 good, EC 751 - 2250 doubtful and greater than 2250 unsuitable respectively as shown in <xref ref-type="table" rid="table4">Table 4</xref>. A total of 70 samples (72.34%) have EC less than 250 which indicate very good suitability of water for irrigation whereas, 24 samples (27.66%) have EC greater than 250.</p></sec><sec id="s3_7"><title>3.7. Total Dissolved Solids</title><p>During irrigation, the dissolved salts are applied with the water and remain behind in the soil as water evaporates or is used by the crop; this salts accumulate in the crop root zone to concentrations that cause loss in yield, since the crop is no longer able to extract sufficient water from the salty soil solution, resulting in a water stress. For irrigation purposes, the quality of water depends on the quantity of dissolved salts. Salinity problems occur if salt accumulates in the root zone, which may significantly affect the quantity of crop production as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref20">20</xref>] .</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Water quality classifications of: TDS, EC, pH, and Cl values</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Class</th><th align="center" valign="middle" >Values</th><th align="center" valign="middle" >Quality</th><th align="center" valign="middle" >No</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Cl<sup>-</sup> classification</td><td align="center" valign="middle"  colspan="2"  >[<xref ref-type="bibr" rid="scirp.94867-ref22">22</xref>]</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >&lt;70</td><td align="center" valign="middle" >Safe for most plants</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >77.7</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >70 - 140</td><td align="center" valign="middle" >Sensitive plants show injury</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >22.3</td></tr><tr><td align="center" valign="middle"  colspan="3"  >TDS classification</td><td align="center" valign="middle"  colspan="2"  >[<xref ref-type="bibr" rid="scirp.94867-ref22">22</xref>]</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >&lt;1000</td><td align="center" valign="middle" >Best quality water</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >98.9</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1000 - 3000</td><td align="center" valign="middle" >Water involving hazard</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.1</td></tr><tr><td align="center" valign="middle"  colspan="3"  >EC classification</td><td align="center" valign="middle"  colspan="2"  >[<xref ref-type="bibr" rid="scirp.94867-ref16">16</xref>]</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0 - 100</td><td align="center" valign="middle" >Excellent</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >17.02</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >101 - 250</td><td align="center" valign="middle" >Very Good</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >55.32</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >251 - 750</td><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >20.21</td></tr><tr><td align="center" valign="middle"  colspan="3"  >pH classification</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >&lt;5.5</td><td align="center" valign="middle" >Unaccepted</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >75.53</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >5.5 - 7.5</td><td align="center" valign="middle" >accepted</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >22.34</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >&gt;7.5</td><td align="center" valign="middle" >unaccepted</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.12</td></tr></tbody></table></table-wrap><p>Water with TDS less than 1000 mg/L is considered good and that which is greater than 2000 mg/L is unsuitable for agricultural purposes as presented in <xref ref-type="table" rid="table4">Table 4</xref>. Water with TDS &gt; 2000 mg/L has severe risk on irrigational waters. In Abuja FCT, 93 groundwater samples (98.9%) have TDS values &lt; 1000 which is the best value for irrigational water suitability. One groundwater sample (1.1%) has a value of 1094 mg/L. The values range from 17.42 - 1094.78 mg/L with the highest value observed at Kuru, Gwagwa, Kurundu, and Barwa whereas low values are at Nyana, Dam Dam, Jikoko, Galadima, Kade, Mabuchi, and Jikoko as seen in <xref ref-type="fig" rid="fig7">Figure 7</xref>.</p></sec><sec id="s3_8"><title>3.8. Chloride</title><p>Chloride is considered as the most common toxic ion in irrigation water. Since, it is not adsorbed by the soil colloids; therefore, it travels easily with soil water, is absorbed by the crop, moves into the transpiration stream, and accumulates in the leaves. Once the chloride concentration in the leaves exceeds the tolerance of the crop, injury symptoms develop, such as leaf burn or drying of leaf tissue as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref22">22</xref>] . In groundwater the origin of chloride may be from diverse sources such as weathering, leaching of sedimentary rocks and soils, intrusion of saltwater, windblown salt in precipitation, domestic and industrial waste discharges, municipal effluents, as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref24">24</xref>] . In groundwater the concentration of chloride ion up to 70 mg/L is considered safe and causes severe problem in the crops at concentration &gt; 70 mg/Las discussed in [<xref ref-type="bibr" rid="scirp.94867-ref25">25</xref>] . Chloride is an essential micronutrient and the plant should be productive if chloride concentration is less than 70 mg/L in irrigation water as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref26">26</xref>] . In the</p><p>present study, 77.7% of the water samples have Cl<sup>−</sup> concentration &lt; 70 mg/L which is the required concentration for irrigation waters as shown in <xref ref-type="table" rid="table4">Table 4</xref>.</p><p>All other inorganic elements fall below the WHO guidelines.</p></sec><sec id="s3_9"><title>3.9. Sodium Percent and Wilcox Diagram</title><p>For irrigation purpose, the percentage of sodium is important, because sodium reacts with soil to reduce permeability as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref27">27</xref>] . The use of high percentage sodium water for irrigation purpose stunts the plant growth. Sodium reacts with soil to reduce its permeability. Usually little or only minor problems occur when sodium percentage values are less than 15%. When sodium percentage &gt; 15%, reduced permeability will occur. In Abuja FCT Sodium percent values range from 7.11 - 100. Sodium along with carbonate forms alkaline soil; while sodium with chloride forms saline soil; both of these are not suitable for the growth of plants as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref28">28</xref>] . The quality classifications of irrigation water based on the values of sodium percentage as proposed by as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref13">13</xref>] suggest that the groundwater of the study area is excellent to good, good to permissible, and permissible to doubtful as seen in <xref ref-type="fig" rid="fig8">Figure 8</xref> indicating the water is suitable for irrigation.</p></sec><sec id="s3_10"><title>3.10. Sodium Adsorption Ratio and USSL Diagram</title><p>Sodium adsorption ratio is an irrigation water quality parameter used in the management of sodium-affected soils. It is an indicator of the suitability of water for use in agricultural irrigation, as determined from the concentrations of the main alkaline and earth alkaline cations present in the water as stated by as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref29">29</xref>] . SAR allows assessment of the state of flocculation or of dispersion</p><p>of clay aggregates in a soil. Sodium and potassium ions facilitate the dispersion of clay particles while calcium and magnesium promote their flocculation. SAR values range from 0.1 - 2.1 as seen in <xref ref-type="fig" rid="fig9">Figure 9</xref>. Based on SAR values, irrigation water is classified into different classes which indicates that SAR value between 0 - 10, that is, low sodium water poses almost no risk of exchangeable sodium, medium sodium water having SAR 10 - 18 can show considerable hazard, while on the contrary, high and very-high sodium water with SAR 18 - 26 and greater than 26, respectively are regarded as unfavorable as they can lead to detrimental levels of exchangeable sodium in soils as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref22">22</xref>] . All the 94 groundwater samples have SAR values &lt; 10 which is indicative that the groundwater can be used for irrigation on almost all soil types with little danger of the development of harmful levels of exchangeable sodium as seen in <xref ref-type="fig" rid="fig1">Figure 1</xref>0. Excess sodium in waters produces the undesirable effects of changing soil properties and reducing soil permeability.</p></sec><sec id="s3_11"><title>3.11. Permeability Index</title><p>Soil permeability is affected by long term use of irrigation water as it is influenced by total dissolved salts, sodium content and bicarbonate content. Permeability index is a crucial parameter for assessing the suitability of irrigation water. High permeability index would facilitate extensive contamination of groundwater as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref30">30</xref>] . The PI values range 13.97 - 932.43 as seen in <xref ref-type="fig" rid="fig1">Figure 1</xref>1. In accordance with PI, as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref18">18</xref>] attempted the classification of permeability Index as Class I, II and III. Class I and II water are categorized as good for irrigation with 75% or more of maximum permeability. Class III water is unsuitable with 25% of maximum permeability. The groundwater samples of the study area fall in class-I and II as per Doneen chart as seen in <xref ref-type="fig" rid="fig1">Figure 1</xref>2 and shown in <xref ref-type="table" rid="table5">Table 5</xref>, the groundwater samples of the study area are of good quality for irrigation. The increased percentage of groundwater samples under class-I is due to dilution subsequent lower values of permeability index.</p><table-wrap-group id="5"><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Water quality classifications of: SAR, PI, MAR, RSC and KR indices</title></caption><table-wrap id="5_1"><table><tbody><thead><tr><th align="center" valign="middle" >Class</th><th align="center" valign="middle" >Values</th><th align="center" valign="middle" >Quality</th><th align="center" valign="middle" >No</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >SAR classification</td><td align="center" valign="middle"  colspan="2"  >[<xref ref-type="bibr" rid="scirp.94867-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref22">22</xref>]</td></tr><tr><td align="center" valign="middle" >S1</td><td align="center" valign="middle" >&lt;10</td><td align="center" valign="middle" >Excellent</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle"  colspan="3"  >PI classification</td><td align="center" valign="middle"  colspan="2"  >[<xref ref-type="bibr" rid="scirp.94867-ref18">18</xref>]</td></tr><tr><td align="center" valign="middle" >I</td><td align="center" valign="middle" >&gt;75</td><td align="center" valign="middle" >Excellent</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >96.81</td></tr><tr><td align="center" valign="middle" >II</td><td align="center" valign="middle" >50 - 75</td><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.19</td></tr><tr><td align="center" valign="middle"  colspan="3"  >MAR classification</td><td align="center" valign="middle"  colspan="2"  >[<xref ref-type="bibr" rid="scirp.94867-ref15">15</xref>]</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >&lt;50</td><td align="center" valign="middle" >Suitable</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >43.6</td></tr></tbody></table></table-wrap><table-wrap id="5_2"><table><tbody><thead><tr><th align="center" valign="middle" >2</th><th align="center" valign="middle" >&gt;50</th><th align="center" valign="middle" >Unsuitable</th><th align="center" valign="middle" >53</th><th align="center" valign="middle" >56.4</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >RSC classification</td><td align="center" valign="middle"  colspan="2"  >[<xref ref-type="bibr" rid="scirp.94867-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref17">17</xref>]</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >&lt;1.25</td><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle"  colspan="3"  >KR classification</td><td align="center" valign="middle"  colspan="2"  >[<xref ref-type="bibr" rid="scirp.94867-ref14">14</xref>]</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >&lt;1</td><td align="center" valign="middle" >Suitable</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap></table-wrap-group></sec><sec id="s3_12"><title>3.12. Magnesium Adsorption Ratio</title><p>Excess of magnesium in the soil easily affects the crop yield as soils become more alkaline. Magnesium adsorption ratio values range from 0 - 80.1 as seen in <xref ref-type="fig" rid="fig1">Figure 1</xref>3. Magnesium adsorption ratio less than 50% it is considered as suitable for irrigation purpose. In the study area, 43.6% of the samples are suitable for irrigation whereas 56.4% of the samples are not suitable for irrigation. Samples with high magnesium ratio may be due to the passage of surface water and subsurface water through granitic rock formations in Abuja FCT as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref28">28</xref>] . As discussed in [<xref ref-type="bibr" rid="scirp.94867-ref31">31</xref>] reported 89% of samples as good for irrigation whereas 11 percent samples are unsuitable in their study.</p></sec><sec id="s3_13"><title>3.13. Residual Sodium Carbonate</title><p>RSC values were calculated to determine the hazardous effect of CO<sub>3</sub> and HCO<sub>3</sub> of groundwater in Abuja FCT on the water quality for agricultural purpose. If the evaporation of water does not occur from the soil and the solution stays at equilibrium or unsaturated with respect to calcite, bicarbonate will pass through the soil. A negative RSC is the best condition because the total concentration of carbonate and bicarbonate is lower than the concentration of calcium and magnesium combined which implies that there is no residual carbonate to react with sodium to enhance the sodium hazard in the soil as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref33">33</xref>] . According to as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref17">17</xref>] , RSC values &lt; 1.25 meq/L are considered as safe for irrigation while those from 1.25 meq/L to 2.5 meq/L are marginally suitable for irrigation and RSC values &gt; 2.5 are indicative that the groundwater is unsuitable for irrigation. Continuous irrigation with waters having RSC greater than 2.5 meq/L results in salt development which impedes the movement of air and water by clogging the soil pores as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.94867-ref35">35</xref>] . The RSC values of Abuja FCT groundwater fall between −9.8 to 0.55, 94 samples, 100% are &lt;1.25 as seen in <xref ref-type="fig" rid="fig1">Figure 1</xref>4 thus the groundwater is suitable for irrigation.</p></sec><sec id="s3_14"><title>3.14. Kelly’s Ratio</title><p>Kelly’s Ratio is computed by dividing sodium ion concentration versus calcium and magnesium ion concentrations as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref14">14</xref>] . Water with KR value &lt; 1 are regarded suitable for irrigation, while those with higher values are considered unsuitable. The KR of groundwater in Abuja FCT values vary between 0.01 - 0.68, 94 samples, 100% are &lt;1 suitable for irrigation suitable for irrigation as seen in <xref ref-type="fig" rid="fig1">Figure 1</xref>5. These KR values are similar to those of as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref36">36</xref>] carried out in the groundwater of similar basement in Yaound&#233; Cameroon and in a sedimentary setting in Vadodara District, Gujarat, India where 33.3% of pre-monsoon groundwater samples had KR values were &lt;1 as discussed in [<xref ref-type="bibr" rid="scirp.94867-ref37">37</xref>] .</p></sec></sec><sec id="s4"><title>4. Conclusions</title><p>The groundwater of Abuja FCT has been evaluated for its water quality for Urban and Peri-Urban (UPA) Agricultural Irrigation.</p><p>The quality classifications of irrigation water based on the values: Sodium Adsorption Ratio SAR, Wilcox, Kelley Ratio KR, Residual Sodium Carbonate RSC, Permeability Index PI and Percent Sodium %Na; indicate that groundwater of Abuja FCT is suitable for irrigation purpose on all soil types and that the groundwater will not degrade the soil.</p><p>However, United States Soil Salinity USSL Index of Abuja FCT groundwater fall in “very low to high salinity” and “low sodium hazard zone” and Magnesium Adsorption Ratio MAR indicates half of the groundwater as “not suitable”.</p><p>Hence the groundwater in Abuja FCT should be used only on soils that are well drained.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Akoachere, R.A., Yaya, O.O., Eyong, A.T., Ngassam, M.P., Molua, E.L., Nkongho, R.N., Ayuk, E.O. and Oben, T.T. (2019) Agro-Industrial Groundwater Quality Abuja FCT, Nigeria: An Evaluation for Urban and Peri-Urban (UPA) Agricultural Irrigation. Open Access Library Journal, 6: e5698. https://doi.org/10.4236/oalib.1105698</p></sec></body><back><ref-list><title>References</title><ref id="scirp.94867-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">FAO (1999) The State of Food and Agriculture 1999: Hunger Declining, But Unevenly. http://ftp.fao.org/docrep/fao/meeting/012/k1915e.pdf</mixed-citation></ref><ref id="scirp.94867-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">FAO (2008) Urbanization and Food Security in Sub Saharan Africa. Information Paper for the FAO 25th African Regional Conference.</mixed-citation></ref><ref id="scirp.94867-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">FAO (2004) Globalization of Food Systems in Developing Countries: Impact on Food Security and Nutrition. 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