%0 Journal Article %T Assessment of groundwater vulnerability using Modified DRASTIC, Logistic Regression and AHP-DRASTIC (Hashtgerd plain) %J Iranian Journal of Soil and Water Research %I University of Tehran %Z 2008-479X %A Bakhtiare Enayat, Bahram %A Malekian, Arash %A Salajeghe, Ali %D 2016 %\ 07/22/2016 %V 47 %N 2 %P 269-279 %! Assessment of groundwater vulnerability using Modified DRASTIC, Logistic Regression and AHP-DRASTIC (Hashtgerd plain) %K Groundwater vulnerability %K DRASTIC %K Logistic regression %K Hierarchical Analysis Process %R 10.22059/ijswr.2016.58333 %X Parts of the Plain are different roles as pollutants velocity and reach into groundwater. Land assessment and their proper management for a variety of land uses, due to their susceptibility to transfer contaminations is essential. DRASTIC method as overlaying way has the seven influencing parameters for contamination susceptibility mapping. Due to local effects on DRASTIC model parameters, coefficients modify for the input data is required. . According to multiple studies in the Hashtgerd plain, to assess the aquifer vulnerability, modified DRASTIC method, logistic regression-DRASTIC and hierarchical analysis process DRASTIC was used. In addition to the DRASTIC input parameters, land uses were used in analysis considering its role in the production of contamination. The western part of the study area, there is an aquifer that charged from the eastern of the plain. DRASTIC model as output of the model validate with nitrates and eastern areas was excluded. In validating indicators of vulnerability, Spearman correlation, are calculated respectively 0.79, 0.84, 0.86 and 0.91 for DRASTIC, modified DRASTIC, logistic regression-DRASTIC and hierarchical analysis process –DRASTIC and Analytical Hierarchy Process has the highest correlation coefficient. %U https://ijswr.ut.ac.ir/article_58333_c14d67b8a85e42d9739d96c51208d31b.pdf