Groundwater vulnerability assessment using a GIS-based modified DRASTIC model: the case of the Borkena Subbasin, Awash River, Ethiopia

IF 1.827 Q2 Earth and Planetary Sciences
Mehari Kebede Ayele, Sirak Tekleab, Yonas Girma Abebe, Zeleke Agide Dejen
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引用次数: 0

Abstract

A crucial initial phase toward ensuring the sustainability of groundwater resources is the assessment of groundwater vulnerability. Therefore, this study aims to evaluate groundwater vulnerability through generic and modified DRAS-TIC approaches using the Geographic Information System (GIS) in the Borkena sub-basin, Awash River, Ethiopia. In this study, the standard DRASTIC model was improved through rating and weight modifications of the parameters and application of additional parameters, land use/land cover (LULC), and geological lineament density. The nitrate concentration was used in this study to validate the models’ accuracy. The correlation analysis between the nitrate concentration and the standard/modified DRASTIC models revealed that the most promising result (R2 = 0.76) was obtained when weight and rate modification were combined. According to the weight and rate-based modified DRASTIC Index, the study area was separated into very high, high, moderate, low, and very low susceptibility zones for groundwater pollution, with corresponding area coverage of 10.1% (165.8 km2), 22.6% (370 km2), 40% (654.7 km2), 22.9% (375.4 km2), and 5% (82.3 km2), respectively. The single-parameter sensitivity analysis indicated that the following DRASTC parameters, in order of significance, influence groundwater vulnerability in the Borkena subbasin: aquifer media, depth to the groundwater table, and net recharge, whereas hydraulic conductivity was least influential. These findings empower stakeholders to implement appropriate management practices for the protection of vital water resources and for policymakers to apprise sustainable and sound policies.

基于gis的改进DRASTIC模型的地下水脆弱性评价:以埃塞俄比亚阿瓦什河Borkena次流域为例
确保地下水资源可持续性的关键初始阶段是评估地下水的脆弱性。因此,本研究旨在利用地理信息系统(GIS),通过通用和改进的dra - tic方法评估埃塞俄比亚阿瓦什河Borkena子流域的地下水脆弱性。在本研究中,通过对参数进行评级和权重修改,并应用附加参数、土地利用/土地覆盖(LULC)和地质地貌密度,对标准DRASTIC模型进行了改进。本研究采用硝酸盐浓度来验证模型的准确性。硝酸盐浓度与标准/修正的DRASTIC模型的相关性分析表明,当权重和速率修正相结合时,得到了最理想的结果(R2 = 0.76)。根据基于权值和率的修正DRASTIC指数,将研究区划分为地下水污染极高、高、中、低和极低易感区,其面积覆盖率分别为10.1% (165.8 km2)、22.6% (370 km2)、40% (654.7 km2)、22.9% (375.4 km2)和5% (82.3 km2)。单参数敏感性分析表明,影响Borkena次盆地地下水脆弱性的DRASTC参数依次为含水层介质、地下水位深度和净补给,而水力导度影响最小。这些调查结果使利益攸关方能够实施适当的管理做法,保护重要的水资源,并使政策制定者能够制定可持续和健全的政策。
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来源期刊
Arabian Journal of Geosciences
Arabian Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
0.00%
发文量
1587
审稿时长
6.7 months
期刊介绍: The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone. Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.
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