Alavipoor Fatemeh Sadat, Ghorbaninia Zahra, Karimi Saeed, Jafari Hamidreza
University of Tehran, Faculty of Environment, Department of Environmental Planning, Management and Education. No 15, Qods St., Enghelab Ave. Tehran, Iran.
Water Environ Res. 2016 Jul;88(7):589-601. doi: 10.2175/106143016X14609975746361.
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.
本研究为地理信息系统（GIS）环境下的水资源污染风险评估提供了一种模糊WRASTIC新模型。首先，该方法在多准则评价框架（MCE）中进行设置，对上述各准则的子准则进行审查和映射。然后，按照GIS环境标准对相关子图层进行分阶段处理。下一步，首先将子图层合并在一起，接着利用模糊叠加法，通过加权线性组合（WLC）方法并在WRASTIC模型中赋予权重，运用“或”“与”“和”“积”及“伽马”算子对污染风险状况进行建模。结果给出了最佳建模组合及其低、中、高和极高风险类别的百分比，分别为1.8%、14.07%、51.43%和32.7%。由于地表水资源密集区域周边土地利用布局不均衡且紧凑，更多区域面临严重风险。
