Classification of Aquifer Vulnerability by Using the DRASTIC Index and Geo-Electrical Techniques

Vulnerability analysis in areas vulnerable to anthropogenic pollution has become a key element of sensible resource management and land use planning. This study is intended to estimate aquifer vulnerability using the DRASTIC model and using the vertical electrical sounding (VES) and electrical conductivity (EC) outcomes. The model allows for the identification of hydrogeological environments within the scope of the research, based on a composite definition of each environment's main geological, geoelectrical, and hydrogeological factors. The results from the DRASTIC model were divided into four equal intervals, high, medium, low, and very low drastic index values. The SW area and NE area depict drastic index values from medium to very high, making it the most vulnerable zone in the study area, while the NW and SW areas show low to very low drastic index values. In addition, the results from the VES and EC the freshwater aquifer in the NE area and brackish water in the SE area, while the rest of the area falls into the category of brackish water. Overall, it can be concluded that areas having freshwater assemblages are on the verge of becoming contaminated in the future while the rest of the NW and SW areas constitute less vulnerable zones. The validation conducted for DRASTIC and EC shows a nearly positive correlation. Wastewater treatment policies must be developed throughout the studied region to prevent contamination of the remaining groundwater.

Automated summary

The study utilized the DRASTIC model to estimate aquifer vulnerability in areas vulnerable to anthropogenic pollution. The results categorized the research area into high, medium, low, and very low drastic index values, with the SW and NE areas identified as the most vulnerable zones. Additionally, VES and EC results showed a freshwater aquifer in the NE area, brackish water in the SE area, and brackish water in the rest of the area. Validation conducted for the DRASTIC and EC models showed a positive correlation, highlighting the need for wastewater treatment policies to prevent groundwater contamination.