Investigation of Contamination Risk using Optimized DRASTIC-L Method with Genetic Algorithm in Salmas Plain Aquifer

Authors

1 Department of geology, Faculty of natural science, University of Tabriz

2 Department of geology, Faculty of natural science, University of Tabriz, Tabriz city, Iran

3 Faculty of Natural Sciences, University of Tabriz, Tabriz city

Abstract

Nitrate is one of the most common contaminants that originates from fertilizers, pesticides or domestic and industrial wastewater. This non-point source contaminant exposes the Salmas plain aquifer to groundwater pollution due to extensive agricultural activity. Therefore, it is necessary to assess the contamination risk of aquifer to high nitrate concentration and identify the high-risk areas in this aquifer. In this research, the contamination risk of Salmas plain aquifer was investigated using DRASTIC-L framework and groundwater velocity. For this purpose, after constructing of DRASTIC-L framework, the weights of eight layers of the framework optimized by genetic algorithm to obtain the aquifer vulnerability map to nitrate contaminant. Finally, the contamination risk map to nitrate was achieved from multiplying the aquifer vulnerability and groundwater velocity. The results showed that against to the eastern and central parts of the aquifer, the contamination risk of the aquifer is high in the western part of the aquifer.

Keywords


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