Online ISSN: 2382-9931
Journal of Water and Irrigation Management
Homepage: https://jwim.ut.ac.ir/
University of Tehran Press
Optimization of DRASTIC Index to Assess the Vulnerability of Qazvin Plain with DA and GIS
Samaneh Ghafoori-Kharanagh1 | Nargeskhatoon Dowlatabadi2 | Aminreza Neshat3
1. Department of Water Engineering, College of Abouraihan, University of Tehran, Tehran, Iran. E-mail:
2. Department of Water Engineering, College of Abouraihan, University of Tehran, Tehran, Iran. E-mail:
3. Corresponding Author, Department of GIS/RS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran. E-mail: [email protected]
Article Info ABSTRACT
Article type:
Research Article
Article history:
Received: 5 March 2023 Received in revised form:
10 May 2023 Accepted: 1 July 2023 Published online: 2 July 2023
Keywords:
Groundwater vulnerability, logistic regression (Log), discriminant analysis (DA), GIS.
In recent years, the extraction of groundwater, especially in arid and semi-arid areas, has increased significantly due to the increase in population, the growing need for agricultural products, and the demand of industry. The increase in extraction from aquifers has been paralleled by the pollution and decrease in their quality. One of the effective ways to protect these resources is to identify areas with high vulnerability potential. Researchers have provided many methods to evaluate the pollution and vulnerability potential of groundwater sources, most of them are based on DRASTIC index. Also, in recent years, many researchers have modified it to improve the index. Therefore, in this research, the weight of DRASTIC index parameters has been improved using two statistical methods, logistic regression, and Discriminant Analysis. To validate DRASTIC-DA and DRASTIC-Log models, the correlation between these two indicators and nitrate concentration in Qazvin plain was used. The research results showed that the correlation coefficient between nitrate concentration and vulnerability index in the DRASTIC, DRASTIC-Log, DRASTIC-DA1 and DRASTIC-DA2 models are 40, 48.4, 51.8 and 55.5 percent, respectively. This is shows that the DRASTIC-Log method is more accurate than the DRASTIC method in determining the weight of the coefficients of the DRASTIC index, and the use of the Discriminant Analysis method will have a more appropriate approach than the Logistic Regression method.
Cite this article: Neshat, A. R., Ghafoori-Kharanagh, S., & Dowlatabadi, N. (2023). Optimization of DRASTIC Index to Assess the Vulnerability of Qazvin Plain with DA and GIS. Journal of Water and Irrigation Management, 13(2), 565-580. DOI: https://doi.org/10.22059/jwim.2023.355062.1052
© The Author(s). Publisher: University of Tehran Press.
DOI: https://doi.org/10.22059/jwim.2023.355062.1052
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