Department of Environmental Engineering, Delhi Technological University, Delhi, 110042, India.
Department of Environmental Engineering, Delhi Technological University, Delhi, 110042, India.
J Environ Manage. 2021 Oct 15;296:113161. doi: 10.1016/j.jenvman.2021.113161. Epub 2021 Jul 9.
Groundwater has become increasingly vulnerable to quality degradation. An elaborate understanding of its flow, draft, recharge and pollutant transport processes needs to be developed to understand its risk to contamination. This paper has discussed different tools and methods that are used to map groundwater vulnerability around the world. To maintain the quality and impact of the study, rigorous search for relevant literature published in high impact scientific journals has been done, and the comprehensive information on groundwater vulnerability assessment methods being used, has been compiled. The GIS based overlay and index-based methods like DRASTIC, GALDIT, GOD, COP and PI takes into consideration various thematic layers, overlays them to calculate weighted index and identifies vulnerability classes. They have been criticised for the lack of numerical basis in their formulation. Therefore, over the years, many of the proposed indices have been modified to provide quantitative estimates of groundwater potential to degrade and deplete. However, where the data and software are not a constraint, the use of numerical based simulation models can be done for more elaborate and numerical based quantification of the vulnerability. These numerical models typically require extensive data and are exceedingly becoming more sophisticated with the introduction of new parameters. This study concludes that integrating the GIS with numerical models offers the advantage of data management and assists to spatially analyse the datasets. The difficulties that are associated with the differences between GIS and numerical model's data structures should be thoroughly understood, prior to coupling, to develop uniform conversion software.
地下水的质量越来越容易受到退化的影响。为了了解其受到污染的风险,需要对其流动、开采、补给和污染物运移过程进行深入的理解。本文讨论了世界各地用于绘制地下水脆弱性图的不同工具和方法。为了保持研究的质量和影响,对发表在高影响力科学期刊上的相关文献进行了严格的搜索,并对正在使用的地下水脆弱性评估方法的综合信息进行了编译。基于 GIS 的叠置和基于指数的方法,如 DRASTIC、GALDIT、GOD、COP 和 PI,考虑了各种专题图层,将它们叠置以计算加权指数,并确定脆弱性类别。这些方法在其制定中缺乏数值基础,因此受到了批评。因此,多年来,许多提议的指数已经过修改,以提供地下水潜在退化和枯竭的定量估计。然而,在数据和软件不受限制的情况下,可以使用基于数值的模拟模型对脆弱性进行更详细和数值化的量化。这些数值模型通常需要大量的数据,并且随着新参数的引入,变得越来越复杂。本研究得出的结论是,将 GIS 与数值模型集成提供了数据管理的优势,并有助于对数据集进行空间分析。在进行耦合之前,应充分了解与 GIS 和数值模型数据结构之间差异相关的困难,以开发统一的转换软件。