Vulnerability evaluation of Qazvin Plain Using DRASTIC-AHP Based on Geographic Information System

Document Type : Research Article

Authors

1 Associate Professor, Department of water Engineering, Bu-Ali Sina University, Iran.

2 PhD Student of Department of water Engineering, Bu-Ali Sina University, Iran.

3 PhD Student of Department of water Engineering, Bu-Ali Sina University, Iran

Abstract

Groundwater pollution due to human activities is one of the most serious environmental problems in industrial and agricultural areas. Groundwater is one of the main sources of drinking water in our country, so it is very important to study the vulnerability of these sources. In this research, the modified DRASTIC method based on GIS has been used to study the vulnerability of groundwater in Qazvin plain. Using hierarchical analysis method, the coefficients related to each parameter were determined by DRASTIC method. Linear regression analysis was used to evaluate the statistical relationship between the concentration of groundwater pollutants and its vulnerable areas.The resulting vulnerability map shows that the values obtained from the DRASTIC method are relatively consistent with the desired quality indicators and similar results were obtained for the DRASTIC-AHP method.Comparison of the obtained results with groundwater quality indicators showed that in the east of the region, vulnerability and pollution potential are both high and the risk of groundwater pollution in these areas is higher than elsewhere.By establishing a regression relationship between groundwater quality indicators and vulnerability assessment methods, the accuracy of the methods was investigated.It was found that the DRASTIC-AHP method has a higher accuracy than the traditional method and is more in line with the quality indicators located in the region.

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Volume 10, Issue 29 - Serial Number 3
September 2021
Pages 145-160
  • Receive Date: 20 April 2020
  • Revise Date: 02 November 2020
  • Accept Date: 21 November 2020
  • First Publish Date: 21 November 2020
  • Publish Date: 22 November 2021