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利用AVI、SPI和RGPI指数评估地下水脆弱性和污染风险:应用于突尼斯加贝斯南部含水层系统

Assessment of groundwater vulnerability and pollution risk using AVI, SPI, and RGPI indexes: applied to southern Gabes aquifer system, Tunisia.

作者信息

Atoui Mounir, Agoubi Belgacem

机构信息

Higher Institute of Water Sciences and Techniques, University of Gabes, Gabes, Tunisia.

Applied Hydro-Sciences Research Laboratory, Gabes, Tunisia.

出版信息

Environ Sci Pollut Res Int. 2022 Jul;29(33):50881-50894. doi: 10.1007/s11356-022-19309-5. Epub 2022 Mar 3.

Abstract

Southern Gabes aquifer is part of coastal Jeffara plain located in southeastern Tunisia. It consists a semi-arid area in which groundwater is the main source to water supply for several socio-economic sectors. Southern Gabes aquifer suffers from excessive abstraction and heavy anthropogenic pressures that make local groundwater resources threatened by pollution risks. This study aims to assess groundwater vulnerability, evaluate, and delineate groundwater risk regions. For this, a 17 water samples were carried out in the study area and chemical compositions were analyzed. A well-known AVI model has been used to assess aquifer vulnerability and new algorithms of sensitivity to pollution index (PSI) and risk groundwater to pollution index (RGPI) were implemented and used to assess, classify, and map groundwater pollution risk. Results reveal that study area suffers from high risk. Forty one percent of the total surface of study area has a very high risk. Nonetheless, only 30% of study area has a low to insignificant risk to pollution which necessitates taking severe precautions to protect the southern Gabes aquifer system. The method used in this study seems giving more precise results compared to conventional approaches. Moreover, this method allows assessing the pollution risk with flexible and reliable algorithm even with limited dataset. Hence, the poor natural protective capacity of study area needs a rapid intervention by local authorities in order to develop proactive solutions to protect and preserve groundwater resources from pollution risks and establish a long-term program for groundwater resources sustainable development.

摘要

加贝斯南部含水层是位于突尼斯东南部的沿海杰法拉平原的一部分。它位于一个半干旱地区,在该地区,地下水是几个社会经济部门供水的主要来源。加贝斯南部含水层面临过度开采和巨大的人为压力,这使得当地地下水资源受到污染风险的威胁。本研究旨在评估地下水脆弱性,评估并划定地下水风险区域。为此,在研究区域采集了17个水样并分析了其化学成分。使用一种著名的AVI模型来评估含水层脆弱性,并实施了污染敏感指数(PSI)和地下水污染风险指数(RGPI)的新算法,用于评估、分类和绘制地下水污染风险图。结果表明,研究区域面临高风险。研究区域总面积的41%具有极高风险。尽管如此,研究区域中只有30%的区域污染风险较低或可忽略不计,这就需要采取严格的预防措施来保护加贝斯南部含水层系统。与传统方法相比,本研究中使用的方法似乎能给出更精确的结果。此外,即使数据集有限,该方法也能通过灵活可靠的算法评估污染风险。因此,研究区域较差的自然保护能力需要地方当局迅速干预,以便制定积极的解决方案来保护地下水资源免受污染风险,并建立地下水可持续发展的长期计划。

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