Title of article :
A Fuzzy Outranking Model to Assess the Effects of Energy- Intensive Infrastructures on Wildlife Habitats (Case Study: Markazi Province)
Author/Authors :
Ahmadipari, Masumeh School of Environment - College of Engineering - University of Tehran - Tehran, Iran , Hoveidi, Hasan School of Environment - College of Engineering - University of Tehran - Tehran, Iran , Ghobadi, Morteza Faculty of Agriculture and Natural Resources - Lorestan University - Khorramabad, Iran
Pages :
13
From page :
281
To page :
293
Abstract :
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 energyintensive 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.
Keywords :
Ecological Impact Assessment , Wildlife Habitat , Energy-Intensive Infrastructure , PROMETHEE II , Markazi Province
Journal title :
Environmental Energy and Economic Research (EEER)
Serial Year :
2020
Record number :
2575745
Link To Document :
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