含水层脆弱性和污染的特定促成因素的电序估值:确定沉积层优质地下水所受威胁的指数模型方法案例

N.J. George , A.M. Ekanem , J.E. Thomas , N.I. Udosen , N.M. Ossai , J.G. Atat
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引用次数: 0

摘要

这项工作的目的是利用基于指数的技术评估一所新建大学内的地下水质量,其意图是生成脆弱性潜势图,以指导避免易受影响的含水层系统。该研究利用地质电学技术评估了水文地质单元的岩性序列及其一阶和二阶地质电学特性,以及地下水的地球化学成分。结果表明,根据地球电学技术的结果,水文地质单元由砂序列组成,包括细砂至砾砂,其中夹杂少量砂质粘土。通过 20 个 VES(V1-V20)可进入第 2 层和第 3 层,目前可进入指定的经济和远景含水层系统。所考虑的含水层系统的电阻率值在 26.3 至 3576.5Ωm 之间,平均值为 832.97Ωm。所采用的五个脆弱性模型显示出很高的空间变异性和中等程度的二元负相关和正相关,这可解释为权重分配的主观性所致。敏感性分析(SA)得出的变异系数(CV)表明,地形(9.7%)和软弱带的影响(4.3%)导致了脆弱性指数的变化,略高于其他参数显示的 1.6%。地下水中的重离子浓度达到了世界卫生组织不允许的水平,SA 显示,地下水地球化学污染的 CV 值在镉离子(140.9%)方面差异较大,其次是锰离子(132%)和铜离子(88.2%)。镍离子 (48.8%)、铅离子 (41.6%)、铬离子 (39.8%) 和铁离子 (35.0%) 在各井中的浓度分布变化不大。所有地球物理和地球化学指数都表明,地下水很容易受到污染,因此需要进行监测和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electro-sequence valorization of specific enablers of aquifer vulnerability and contamination: A case of index-based model approach for ascertaining the threats to quality groundwater in sedimentary beds

This work was set up to appraise the quality of groundwater within a newly established university using index-based techniques and the intention is to generate vulnerability potential maps that can guide in avoiding vulnerable aquifer systems. The study used geo-electrical technology to evaluate the lithological sequence of the hydrogeological units and their first-and second-order geo-electric properties, as well as the geochemical constituents of groundwater. The results showed that the hydrogeological units are composed of sequences of sands, including fine to gravelly sands minimally laced with sandy clay, according to the results of geo-electrical technology. Layers 2 and 3 were accessible by the twenty VES (V1-V20) in which current gained access to designated economic and prospective aquifer systems. The aquifer systems considered have resistivity values ranging from 26.3 to 3576.5Ωm and mean value of 832.97Ωm. The five vulnerability models deployed showed very high spatial variability and moderate negative and positive binary correlations, construed to be due to subjectivity in the weight-rate assignment. The coefficients of variation (CV) from sensitivity analysis (SA) indicated variation in the vulnerability index due to topography (9.7%) and the impact of the vadose zone (4.3%), which are marginally higher than the 1.6% displayed by other parameters. The groundwater displayed WHO's disallowed concentrations of heavy ions, and the SA indicated that CV for the groundwater geochemical contamination is variably high in cadmium ions (140.9%) followed by manganese ions (132%) and copper ions (88. 2%) across the wells. The moderately variable contribution distributions across the wells are nickel ions (48.8%), lead ions (41.6%), chromium ions (39.8%) and iron ions (35.0%). All the geophysical and geochemical indices affirm that the groundwater is vulnerable and contaminated and therefore requires monitoring and management.

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