Assessment of groundwater vulnerability to pollution in an Arid environment

Abstract

they have not consistently outperformed the other approaches, frequently because there is not enough information available to mathematically define the processes. To develop statistical correlations between the identified pollution, environmental variables, and land use for vulnerability assessment, statistical modeling methodologies, on the other hand, call for the use of surrogate observations. Therefore, the results of this method can only be used in areas where data is collected and that have similar characteristics that are correlated with the risk of groundwater pollution (Sarkar & Pal, 2021; Chakraborty et al. 2022). The