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Groundwater Vulnerability Assessment Through a Modified DRASTI-LU Framework: Case Study of Saiss Basin in Morocco

机译:基于修改后的DRASTI-LU框架的地下水脆弱性评估:以摩洛哥赛斯盆地为例

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摘要

The groundwater vulnerability assessment is an effective tool for protecting groundwater from pollution. The objective of this study is to determine the groundwater vulnerability of the Plio-Quaternary aquifer to pollution in the Saiss basin of Morocco using the DRASTI-LU framework. As validation of groundwater vulnerability map using the Pearson correlation between nitrate (NO3-) concentrations observed at 51 wells and corresponding vulnerability indices calculated showed a poor correlation coefficient (r = 0.35, p < 0.01), the rates and weights of each DRASTI-LU framework parameter were modified using the Wilcoxon rank-sum test and single sensitivity analysis. Afterwards the vulnerability indices were calculated using the modified rates [DRASTI-LU(R)], the modified weights [DRASTI-LU(W)], and both modified rates and weights [DRASTI-LU(RW)]. According to the results, the modification of the rates provided significantly improved vulnerability map as compared to DRASTI-LU(W) and DRASTI-LU(RW). Based on DRASTI-LU(R), four vulnerability classes were identified, namely very low, low, medium, and high, with a dominance of the medium vulnerability class. Furthermore, the sensitivity analysis applied to the DRASTI-LU(R) revealed that land use was the most effective parameter, while topography and soil media were the least effective parameters in the groundwater vulnerability assessment. The current research can support the environment-related groundwater management and planning in the study region.
机译:地下水脆弱性评估是一个防止地下水的有效工具污染。确定地下水的脆弱性在知道Plio-Quaternary含水层污染盆地的摩洛哥使用DRASTI-LU框架。验证的地下水脆弱性地图使用硝酸皮尔逊相关性(三)浓度在51井和观测相应的脆弱性指数计算显示一个贫穷的相关系数(r = 0.35,p < 0.01),利率和权重DRASTI-LU框架参数被修改使用的Wilcoxon rank-sum测试和敏感性分析。计算使用修改后的利率[DRASTI-LU (R)),修改后的重量[DRASTI-LU (W)],利率和修改权重(DRASTI-LU (RW)]。结果,修改提供的利率显著改善脆弱的地图相比DRASTI-LU (W)和DRASTI-LU (RW)。DRASTI-LU (R),四个漏洞类识别,即非常低,低,中,和高,占据主导地位的媒介脆弱类。分析应用于DRASTI-LU (R)土地利用是最有效的参数,在地形和土壤的媒体地下水的有效参数漏洞评估。地下水环境可以支持在研究地区管理和规划。

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