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Pourghasemi, H.R., Moradi, H.R., Aghda, S.F., Gokceoglu, C. and Pradhan, B. (2014) GIS-Based Landslide Susceptibility Mapping with Probabilistic Likelihood Ratio and Spatial Multi-Criteria Evaluation Models (North of Tehran, Iran). Arabian Journal of Geosciences, 7, 1857-1878.
https://doi.org/10.1007/s12517-012-0825-x

has been cited by the following article:

• TITLE: Modelling Surface Water Susceptibility to Pollution Using GIS

  AUTHORS: Rida Al-Adamat

  KEYWORDS: GIS, WLC, Surface Water, Susceptibility, SWSi

  JOURNAL NAME: Journal of Geographic Information System, Vol.9 No.3, June 15, 2017

  ABSTRACT: This research is an attempt to develop a new GIS index to investigate the surface water susceptibility to pollution (SWSi). In this index, the Weighted Linear Combination techniques within GIS environment was used to calculate the overall surface water susceptibility to pollution scores based on using 6 factors. The model includes 3 natural factors: gradient slope, distance to surface water and soil. Also, it includes 3 man-made activities: urban, agriculture and roads. Each factor was given the appropriate weight and ratings and then the final index was calculated using GIS techniques. The final results showed that the study area (1235 km2) could be classified into low susceptibility with an area of 250 km2 (20.2%), moderate susceptibility with an area of 815.5 km2 (66%), high susceptibility with an area of 166.2 km2 (13.5%) and very high susceptibility with an area of 3.3 km2 (0.3%).