A Fuzzy Outranking Model to Assess the Effects of Energy-Intensive Infrastructures on Wildlife Habitats (Case Study: Markazi Province)

Document Type: Research Article


1 School of Environment, College of Engineering, University of Tehran, Tehran, Iran

2 Faculty of Agriculture and Natural Resources, Lorestan University, Khorramabad, Iran


Environmental impact assessment of energy-intensive infrastructure is one of the vital challenges of industrial areas in Iran. This study presents application of PROMETHEE II in combination with Fuzzy ANP, as a decision method to evaluate ecological impacts of energy-intensive infrastructures on wildlife habitat in Markazi province. To this purpose, the effects organized into four categories including quality, geomorphology, landscape, and biodiversity. The assessment carried out for three energy-intensive industry groups including metals industries (first group), chemical industries (second group), non-metallic mineral industries (third group). Analyzing the different scenarios for the proposed method drew using GAIA in Visual PROMETHEE®. The results showed that quality factors played an important role of 0.431 compared to biodiversity of 0.328, landscape of 0.152 and geomorphology of 0.089. The results also showed that chemical industries generated major impacts compared to metals and non-metallic mineral industries. Chemical industries had the most effects with a score of 0.4423. In contrast, non-metallic mineral industries had the lowest effects with a score of -0.6476. The results of GAIA curves and impacts analysis also indicated that the efficiency of the proposed tool in the rapid assessment of effects.


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