Multi-Criteria Evaluation (MCE) of Groundwater Prospect and Vulnerability Index Mapping from Second-Order Geo-Electric Indices: A Case Study of Coastal Environments

Stanley Uchechukwu Eze, Ekom E. Essien, Okiotor M. Edirin, Sampson Jaja William, Saleh A. Saleh, Bello A. Maruff, Ugwu Joshua Udokaf
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Abstract

Exploration, management, and conservation of groundwater resources are critical stages toward potable water supply, driven by an expanding populace and the threat of a new norm posed by the distinctive coronavirus (COVID-19) pandemic. An in-depth assessment of the potential of groundwater reserves and susceptibility, using a multi-criteria evaluation, is required to aid in the planning of exploration programs for groundwater well location. Thirty (30) vertical electrical soundings (VES) were collected in Okerenkoko, Warri-Southwest, Delta State, to assess groundwater potential and vulnerability indicators. The VES data were used to obtain the first-order geoelectric variables, which were further exploited to calculate the geo-hydraulic parameters (hydraulic conductivity and transmissivity) and the vulnerability indices of the aquifer. For aquifer vulnerability appraisal, the AVI (aquifer vulnerability index), GOD (groundwater occurrence, overlying lithology, and depth to the aquifer), and GLSI (geoelectric layer susceptibility index) models were used. The groundwater characteristics in the area were evaluated using the aquifer resistivity, thickness, transmissivity and coefficient of anisotropy values of the aquifer layers defined from VES 1-30. The results show that aquifer layers with low resistivity favor more saturation due to immense porosity and therefore have greater groundwater potential than aquifers with high resistivity. The geoelectric structures defined by VES 1, 2 and 4 were consistent in their groundwater potential and yield judging from the multi-criteria assessments. The estimation of AVI, GOD, and GLSI models for aquifer threat assessment was facilitated by the multi-criteria evaluation of vulnerability indices utilizing hydro-geophysical parameters and index-based approaches. The models depend on the symbiotic effects of geologic array and thickness as the basis for the magnitude of conservation imparted to any particular aquifer involved. The AVI model map depicts that most of the VES locations were rated high (C between 1 and 2) to extremely high (C < 1), indicating that the aquifers at these locations are vulnerable to pollution. However, the extent of vulnerability observed in the GOD model is less than in the AVI model, as GOD accords much more inclination to the inherent properties of geologic entities. The GOD model map categorized the vulnerability index ratings in the area as negligible (0.0-0.1), low (0.1-0.3) and moderate (0.3-0.5), with most VES locations ranked low to moderate, which indicates that these locations are susceptible to vulnerability. In the GLSI model, individual overlying layer thicknesses were prioritized. The GLSI model map shows that the vulnerability index ratings in the area are ranked as moderate (2.00-2.99), high (3.00-3.99) and extremely high (≥ 4.00) with most of the VES locations ranked moderate to high with the exception of VES 27, which ranked extremely high in both AVI and GLSI indices. By correlating the results of vulnerability index valuation for the AVI, GOD and GLSI models, more correlation was observed between the AVI and GLSI models. These findings validate the adoption of a multi-criteria evaluation methodology for groundwater potential and aquifer vulnerability studies and are strongly recommended as practical criteria for locating subsurface aquifers and their protective measures for groundwater prospect development planning and management.
根据二阶地电指数绘制地下水前景和脆弱性指数图的多重标准评价 (MCE):沿海环境案例研究
地下水资源的勘探、管理和保护是实现饮用水供应的关键阶段,其驱动力是不断扩大的人口和独特的冠状病毒(COVID-19)大流行所带来的新常态威胁。需要采用多标准评估法对地下水储量的潜力和敏感性进行深入评估,以帮助规划地下水井位置的勘探计划。在三角洲州瓦里西南部的 Okerenkoko 收集了三十(30)次垂直电测(VES),以评估地下水的潜力和脆弱性指标。利用垂直电测数据获得了一阶地电变量,并进一步利用这些变量计算了地水参数(水力传导性和渗透性)和含水层的脆弱性指数。在含水层易损性评估中,使用了 AVI(含水层易损性指数)、GOD(地下水出现、上覆岩性和含水层深度)和 GLSI(地电层易损性指数)模型。利用 VES 1-30 中定义的含水层的含水层电阻率、厚度、渗透率和各向异性系数值,对该地区的地下水特征进行了评估。结果表明,低电阻率的含水层由于孔隙度大,有利于提高饱和度,因此比高电阻率的含水层具有更大的地下水潜力。从多重标准评估的结果来看,VES 1、2 和 4 所确定的地电结构在地下水潜力和产水量方面是一致的。利用水文地球物理参数和基于指数的方法对脆弱性指数进行多标准评估,有助于估算用于含水层威胁评估的 AVI、GOD 和 GLSI 模型。这些模型以地质阵列和厚度的共生效应为基础,确定对任何特定含水层的保护程度。从空间影响指数模型图上可以看出,大多数 VES 地点都被评为高(C 在 1 和 2 之间)到极高(C < 1),这表明这些地点的含水层很容易受到污染。不过,在 GOD 模型中观察到的脆弱程度要小于 AVI 模型,因为 GOD 更倾向于地质实体的固有属性。GOD 模型地图将该地区的脆弱性指数等级分为可忽略(0.0-0.1)、低(0.1-0.3)和中(0.3-0.5),其中大多数 VES 地点的等级为低至中,这表明这些地点容易受到脆弱性的影响。在 GLSI 模型中,单个上覆地层厚度被优先排序。GLSI 模型图显示,该地区的易损性指数等级分为中等(2.00-2.99)、高(3.00-3.99)和极高(≥ 4.00),大多数 VES 地点的易损性指数等级为中等至高,只有 VES 27 例外,该地点的 AVI 和 GLSI 指数等级均为极高。通过对 AVI、GOD 和 GLSI 模型的脆弱性指数评估结果进行相关分析,发现 AVI 和 GLSI 模型之间的相关性更高。这些研究结果验证了在地下水潜力和含水层脆弱性研究中采用多标准评价方法的有效性,并强烈建议将其作为地下含水层定位及其保护措施的实用标准,用于地下水远景开发规划和管理。
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