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Modifying DRASTIC Model DRAST-VUL to determine groundwater vulnerability in an urban aquifer

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Civil Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran

2 Professor, Faculty of Earth Sciences, Shahid Chamran University of Ahvaz, Iran

3 Assistant Professor, Faculty of Earth Sciences, Shahid Chamran University of Ahvaz, Iran

4 PhD Student, Faculty of Engineering, Urmia University, Urmia, Iran

Abstract

Due to various sources of contamination in the urban aquifers, the potential for pollution of groundwater resources is high. Thus, the vulnerability of groundwater resources can be very effective in identifying vulnerabilities and sensitive groundwater aquifers. The aim of this study was to present a modified DRASTIC Model to determine groundwater vulnerability in Urmia urban aquifer. To this end, parameters with low impact such as slope and aquifer media were ignored from the DRASTIC Model. Instead, land use, urbanization index, water value and pollution sources were added to the model. Also, the impact of unsaturated zone media and recharge layers were corrected. Results of the modified DRAST-VUL Model in the study area demonstrate that in most areas, the risk of pollution is low to moderate and the vulnerability in 29% of study area is high due to agricultural and industrial activities and low groundwater depth. Considering the results, the vulnerability index is the most sensitive measure to the parameter of pollutant sources, land use and the unsaturated zone. The sensitivity of the model to recharge, transmissivity and water value parameters were low due to the increase of impermeable surface in urban area. Based on positive results obtained from model validation through nitrate, the proposed model can be considered as an effective tool for the protection, revention and optimal utilization of groundwater resources in the study area. Also, this vulnerability model can be used for other urban aquifers.

Keywords

References
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Watershed Engineering and Management
Volume 13, Issue 4
February 2022
Pages 690-703
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