通过 DRASTIC 指数评估沿海环境岩性中含水层脆弱性的价值

Ndifreke I. Udosen, Nyakno J. George, Aniekan M. Ekanem
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摘要

确定含水层对污染物的易感程度是地下水管理和保护政策规划的重要工具。在这项工作中,利用 DRASTIC 方法对地下水脆弱性进行了评估,该方法采用了七个参数:地下水深度(D)、地下水净补给量(R)、含水层介质(A)、土壤介质(S)、地形(T)、软弱带影响(I)和水力传导性(C)。根据从研究区域获得的水文地质和地质电学信息,对每个参数进行了不同的评级。地质电法数据是通过垂直电法探测和电阻率层析成像测量获得的。结果表明,存在电阻率从高到低不等的地电层,其曲线类型也各不相同。纵向电导测量表明地下水保护能力适中。DRASTIC 脆弱性指数分析表明,含水层易受污染的程度为中度至高度。绘制了易受污染性地图,以标明易受污染性较高的地点,目的是防止在这些地点不加区分地随意抽取地下水。为 DRASTIC 模型生成的质量类别指数(QCI)表明,地下水易受污染性取决于模型中采用的所有 7 个参数,其中最关键的决定因素是含水层深度(D)、净补给量(R)、含水层介质(A)和软弱带的影响(I)。这项工作建议停止可能污染地下水资源的人为活动,因为 DRASTIC 模型显示地下水资源非常脆弱。
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Aquifer vulnerability valorization via DRASTIC index-based assessment within litho-facies of a coastal environment

Determining the degree of an aquifer’s susceptibility to pollutants is an important tool for policy planning in subterranean water administration and conservation. In this work, subterranean water vulnerability was appraised with the use of DRASTIC methodology, which employs seven parameters: depth to groundwater (D); net groundwater recharge (R); aquifer media (A); soil media (S); topography (T); influence of vadose zone (I); and hydraulic conductivity (C). Different ratings were given to each parameter based on the hydro-geological and geo-electrical information obtained from the study area. Geo-electrostratigraphic data was acquired with vertical electrical soundings and electrical resistivity tomography surveys. The results demonstrated the existence of geoelectrical layers with variable resistivities ranging from high to low, with variable curve types. Longitudinal conductance measures indicated moderate subterranean water protective capacity. Analysis of DRASTIC vulnerability indices showed that the aquifer indicated moderate to high vulnerability to contamination. Vulnerability maps were generated to indicate locations of high vulnerability, the goal being to prevent indiscriminate haphazard and wildcat abstraction of groundwater in such locations. The quality category index (QCI) generated for the DRASTIC model indicated that underground water susceptivity is dependent on all 7 parameters employed in the model, with the most critical determinants being the depth to aquifer (D), net recharge (R), aquifer media (A), and impact of the vadose zone (I). The work recommends that anthropogenic activities that could contaminate groundwater resource be halted as the resource is indicated by DRASTIC models as being vulnerable.

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