title: Surface Water Contamination Risk Assessment Modeled by Fuzzy-WRASTIC.
abstract: This research provides a Fuzzy-WRASTIC new model for water resource contamination risk assessment in a GIS (Geographic Information System) environment. First, this method setting in a multi-criteria evaluation framework (MCE) reviewed and mapped the sub criteria of every above-mentioned criterion. Then, related sub-layers were phased by the observance of GIS environment standards. In the next step, first the sub-layers were combined together, next the modeling of pollution risk status was done by utilizing a fuzzy overlay method and applying the OR, AND, SUM, PRODUCT and GAMMA operators by using WLC (Weighted Linear Combination) method and providing weights in the WRASTIC model. The results provide the best combination of modeling and the percentages of its risk categories of low, medium, high and very high, which are respectively 1.8, 14.07, 51.43 and 32.7. More areas have severe risk due to the unbalanced arrangement and compact of land uses around the compact surface water resources.
authors.affiliation: University of Tehran, Faculty of Environment, Department of Environmental Planning, Management and Education. No 15, Qods St., Enghelab Ave. Tehran, Iran.
authors.forename: Fatemeh Sadat
authors.initials: FS
authors.lastname: Alavipoor
authors.forename: Zahra
authors.initials: Z
authors.lastname: Ghorbaninia
authors.forename: Saeed
authors.initials: S
authors.lastname: Karimi
authors.forename: Hamidreza
authors.initials: H
authors.lastname: Jafari
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D017143:Fuzzy Logic; D040362:Geographic Information Systems; D016014:Linear Models; D018570:Risk Assessment / Q000379:methods*; D014877:Water Pollution, Chemical / Q000032:analysis*