Faculty of Sciences of Tunis, Sedimentary Environments, Laboratory of Sedimentary Basins and Petroleum Geology (SBPG), LR18 ES07, 2092, Tunis, Tunisia.
Environ Sci Pollut Res Int. 2022 Oct;29(50):75699-75715. doi: 10.1007/s11356-022-21053-9. Epub 2022 Jun 3.
Nowadays, groundwater is under stress due to contamination, over-exploitation, seawater intrusion, climate change, etc. The groundwater contamination is the major problem which can engender the total deterioration of the aquifer. The groundwater vulnerability assessment may contribute to predicate and to delimitate the areas affected by contamination or any future pollution. This research aims to zoning the potential pollution of the Bouficha shallow aquifer, located in the northeast Tunisia, using the SI model and GIS. Five parameters are presented in the SI model: depth to groundwater (D), recharge (R), aquifer media (A), topography (T), and land use (LU). The different parameters were collected from diverse sources for assess groundwater vulnerability. The net recharge map was generated using GIS-based multi-criteria analysis method based on different parameters (slope, lithology, LU, soil, and drainage density). The generated vulnerability map shows three vulnerability classes: low vulnerability (< 45), moderate vulnerability (45-64), and high vulnerability (64-84) which represent 3.14%, 76.8%, and 20.06% of the total area, respectively. The SI vulnerability represent a moderate positive correlation with the measured nitrate concentrations (R = 0.76). The sensitivity analysis shows that the land use parameter is the most influential parameter for groundwater vulnerability in BFC.
如今,由于污染、过度开采、海水入侵、气候变化等因素,地下水承受着巨大的压力。地下水污染是主要问题,它会导致含水层的全面恶化。地下水脆弱性评估有助于预测和划定受污染或未来任何污染影响的区域。本研究旨在使用 SI 模型和 GIS 对突尼斯东北部的 Bouficha 浅层含水层的潜在污染进行分区。SI 模型中的五个参数是:地下水埋深(D)、补给(R)、含水层介质(A)、地形(T)和土地利用(LU)。不同的参数是从不同的来源收集的,用于评估地下水的脆弱性。净补给图是使用基于 GIS 的多标准分析方法生成的,该方法基于不同的参数(坡度、岩性、土地利用、土壤和排水密度)。生成的脆弱性图显示了三个脆弱性类别:低脆弱性(<45)、中脆弱性(45-64)和高脆弱性(64-84),分别占总面积的 3.14%、76.8%和 20.06%。SI 脆弱性与实测硝酸盐浓度呈中等正相关(R=0.76)。敏感性分析表明,土地利用参数是 BFC 地下水脆弱性的最具影响力的参数。