Geo-Spatial Assessment of Groundwater Potential Zones in Birnin-Kudu Local Government Area Jigawa State, Nigeria

Nafi’u Umar Garba Nafiu Garba Umar, Sawa Bulus Ajiya, Tasi’u Yalwa Rilwanu, Usman Dalhat
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Abstract

The study attempted to identify the groundwater potential zones in Birnin Kudu Local Government Area of Jigawa State, Nigeria using Remote Sensing and Geographic Information System techniques. Groundwater is an important source for water supply, considering its availability, quality, cost and time effective to develop, and simple accessibility. The study used thematic maps like Rainfall, Lineament, Geology, Soil, DEM Soil, Drainage and Land Use Land Cover map as GIS layers in geo-database. The rankings/weights of factor contributing to groundwater prospects in the study area were evaluated by pair wise comparison using Analytical Hierarchy Process (AHP). Weightages of the factors influencing groundwater prospects zones in the study area shows that rainfall is one of the major contributor, and was weighed as the highest contributor with (34%) followed by lineament (24%) and geology was weighed (14%). The least groundwater contributor in the study area is the land use land cover with (2%). The study showed that the very high groundwater potential areas occupy 59.92 km2 (2.89%) of the area, the high potential zones constitute about 527.52km2 (25.45%) of the study area and the moderate potential area has the highest area of 602.69km2 (29.07%). The low and very low potentials occupy an area of about 528.13 km2 (25.48%) and 354.75 km2 (17.11%) respectively. The study concluded that the study area has an abundance.
尼日利亚吉加瓦州比宁-库杜地方政府区地下水潜力区的地理空间评价
该研究试图利用遥感和地理信息系统技术确定尼日利亚吉加瓦州Birnin Kudu地方政府地区的地下水潜力区。考虑到地下水的可获得性、质量、开发成本和时间效益以及可及性,地下水是供水的重要来源。本研究将降雨、地貌、地质、土壤、DEM土壤、排水、土地利用、土地覆盖等专题地图作为地理数据库中的GIS层。运用层次分析法(AHP)对影响研究区地下水远景的因素进行了排序和权重评价。研究区地下水远景区影响因素权重分析表明,降雨是影响该区地下水远景区的主要因素之一,其影响权重最大(34%),其次是地貌(24%)和地质(14%)。研究区地下水贡献最小的是土地利用和土地覆被,占比为2%。研究结果表明:地下水极高潜势区占研究区面积的59.92 km2(2.89%),高潜势区占研究区面积的527.52km2(25.45%),中等潜势区面积最大,为602.69km2(29.07%)。低潜力区和极低潜力区面积分别约为528.13 km2(25.48%)和354.75 km2(17.11%)。研究得出结论,研究区域具有丰富的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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