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首页> 美国卫生研究院文献>Heliyon >Hydrogeophysical and aquifer vulnerability zonation of a typical basement complex terrain: A case study of Odode Idanre southwestern Nigeria
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Hydrogeophysical and aquifer vulnerability zonation of a typical basement complex terrain: A case study of Odode Idanre southwestern Nigeria

机译：典型地下室复杂地形的水疗法和含水层脆弱性分区：以尼日利亚西南奥德德德安德尔岛的案例研究

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An approach engaging Vertical Electrical Sounding (VES) and remote sensing data was carried out with a view to developing groundwater potential and aquifer vulnerability maps of the study area. One hundred and one (101) depth sounding data were acquired using Schlumberger array, with half maximum current electrode separation (AB/2) of 100 m. The VES were quantitatively interpreted using partial curve matching and computer aided iteration to determine the geoelectrical parameters of each station. The remote sensing data were processed using the application of Geographic Information System-based multi-criteria technique ArcGIS software. Eight (8) parameters namely lineament density, drainage density, slope, transmissivity, hydraulic conductivity, coefficient of anisotropy, aquifer thickness and resistivity were used to produce the groundwater potential model while five (5) parameters namely, lineament density, slope, longitudinal conductance, hydraulic conductivity and thickness of layer overlying the delineated aquifer were also used to produce the vulnerability model. The final output of overlay parameters for estimating the groundwater potential gave an index that ranged from 1-5. The zone categorised as low groundwater potential covered about 80% of the area. The majority of the area falls within low (about 80%) vulnerability and low groundwater potential rating while being relatively protected from potential contaminants infiltrating from the surface. The prediction accuracy of the groundwater potential model was established via existing hand-dug well correlation analysis.
机译：参与垂直电气探测（VES）和遥感数据的方法是为了开发研究区域的地下水潜力和含水层漏洞图。使用Schlumberger阵列获取一百一（101）深度探测数据，具有100米的半最大电流电极分离（AB / 2）。使用部分曲线匹配和计算机辅助迭代来定量地解释VES，以确定每个站的电气参数。使用基于地理信息系统的多标准技术ArcGIS软件的应用来处理遥感数据。八（8）个参数即线性密度，排水密度，坡度，透射率，液压导电性，各向异性系数，含水层厚度和电阻率，用于产生地下水潜在模型，而五（5）个参数即，坐线密度，坡度，纵向电导，还用于制造覆盖叠加含水层的液压导电性和层的厚度来产生脆弱性模型。用于估计地下水电位的覆盖参数的最终输出给出了1-5的索引。该区域分类为低地下水潜力占该地区的80％。该地区的大部分落入低（约80％）漏洞和低地下水潜在额定值，同时相对保护从表面渗透的潜在污染物。通过现有的手挖井相关分析建立了地下水电位模型的预测精度。

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