Abduljaleel Yasir, Amiri Mustapha, Amen Ehab Mohammad, Salem Ali, Ali Zana Fattah, Awd Ahmed, Lóczy Dénes, Ghzal Mohamed
Department of Civil and Environmental Engineering, Washington State University, Richland, WA, 99354, USA.
Geomatics and Soil Management Laboratory, Faculty of Arts and Humanities, Université Mohammed Premier Oujda, 60000, Oujda, Morocco.
Environ Sci Pollut Res Int. 2024 Mar;31(13):19185-19205. doi: 10.1007/s11356-024-32305-1. Epub 2024 Feb 15.
Groundwater serves as a primary water source for various purposes. Therefore, aquifer pollution poses a critical threat to human health and the environment. Identifying the aquifer's highly vulnerable areas to pollution is necessary to implement appropriate remedial measures, thus ensuring groundwater sustainability. This paper aims to enhance groundwater vulnerability assessment (GWVA) to manage aquifer quality effectively. The study focuses on the El Orjane Aquifer in the Moulouya basin, Morocco, which is facing significant degradation due to olive mill wastewater. Groundwater vulnerability maps (GVMs) were generated using the DRASTIC, Pesticide DRASTIC, SINTACS, and SI methods. To assess the effectiveness of the proposed improvements, 24 piezometers were installed to measure nitrate concentrations, a common indicator of groundwater contamination. This study aimed to enhance GWVA by incorporating new layers, such as land use, and adjusting parameter rates based on a comprehensive sensitivity analysis. The results demonstrate a significant increase in Pearson correlation values (PCV) between the produced GVMs and measured nitrate concentrations. For instance, the PCV for the DRASTIC method improved from 0.42 to 0.75 after adding the land use layer and adjusting parameter rates using the Wilcoxon method. These findings offer valuable insights for accurately assessing groundwater vulnerability in areas with similar hazards and hydrological conditions, particularly in semi-arid and arid regions. They contribute to improving groundwater and environmental management practices, ensuring the long-term sustainability of aquifers.
地下水是各种用途的主要水源。因此,含水层污染对人类健康和环境构成了重大威胁。识别含水层中对污染高度脆弱的区域对于采取适当的补救措施至关重要,从而确保地下水的可持续性。本文旨在加强地下水脆弱性评估(GWVA),以有效管理含水层质量。该研究聚焦于摩洛哥穆卢亚盆地的埃尔奥尔贾内含水层,该含水层因橄榄油厂废水而面临严重退化。使用DRASTIC、农药DRASTIC、SINTACS和SI方法生成了地下水脆弱性地图(GVMs)。为了评估所提改进措施的有效性,安装了24个测压管来测量硝酸盐浓度,这是地下水污染的一个常见指标。本研究旨在通过纳入新图层(如土地利用)并基于全面的敏感性分析调整参数率来加强GWVA。结果表明,所生成的GVMs与测量的硝酸盐浓度之间的皮尔逊相关值(PCV)显著增加。例如,在添加土地利用图层并使用威尔科克森方法调整参数率后,DRASTIC方法的PCV从0.42提高到了0.75。这些发现为准确评估具有类似危害和水文条件地区的地下水脆弱性提供了宝贵见解,特别是在半干旱和干旱地区。它们有助于改进地下水和环境管理实践,确保含水层的长期可持续性。