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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Environmental Energy and Economic Research
- نوع مقاله: Journal Article
- کلمات کلیدی: Ecological Impact Assessment,Wildlife habitat,Energy-Intensive Infrastructure,PROMETHEE II,Markazi Province
- چکیده:
- چکیده انگلیسی: 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.
- انتشار مقاله: 30-01-1399
- نویسندگان: Masumeh Ahmadipari,Hasan Hoveidi,Morteza Ghobadi
- مشاهده
- جایگاه : پژوهشی
- مجله: Environmental Energy and Economic Research
- نوع مقاله: Journal Article
- کلمات کلیدی: GIS,Fuzzy AHP,Environmental Planning,PROMETHEE,Wind power plant
- چکیده:
- چکیده انگلیسی: Selection of suitable sites for wind power plants is one of the most important decision on wind resources development. Site selection for the establishment of large wind power plants requires spatial evaluation taking technical, economic, and environmental considerations into account. This study has applied a combination of PROMETHEE and Fuzzy AHP methods in a geographical information system environment to carry out spatial site selection for wind power plants in Lorestan Province of Iran. The fuzzy analytic hierarchy process method is used to determine the weights of the criteria whereas the PROMETHEE method is used to prioritise the alternatives based on the weights obtained from the fuzzy AHP. The integration of GIS and MCDM makes a powerful tool for the selection of the best suitable sites because GIS provides efficient manipulation, analysis and presentation of spatial data while MCDM supplies consistent weight of alternatives and criteria.The results showed that about 7.38 % of the area of Lorestan province is most suitable for wind power plants development. Sensitivity analysis shows that suitable zones coincide with suitable divisions of the input layers. The sensitivity analysis showed satisfactory results for the combination of PROMETHEE and Fuzzy AHP methods in wind power plant site selection.
- انتشار مقاله: 24-06-1397
- نویسندگان: Morteza Ghobadi,Masumeh Ahmadipari
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Environmental Technology
- نوع مقاله: Journal Article
- کلمات کلیدی: Air pollution,Spatial zoning,Interpolation models,Tehran,PM 2.5
- چکیده:
- چکیده انگلیسی: In this study, spatial zoning models were compared to evaluate the concentrations of PM 2.5 on a large scale in the urban landscape of Tehran. The spatial analysis of PM 2.5 concentration was conducted based on the data from twenty-four stations that measure and monitor the air in Tehran. Three interpolation models were used to assess the air pollution status via Arc GIS 10.6.1 software: universal kriging (UK), ordinary kriging (OK), and inverse distance weighted (IDW). The root mean square error (RMSE) and correlation coefficient (R2) were applied to compare the spatial models and select the best model. Standardized root-mean-square error (RMSE) was used to select the best conditions for running the OK and UK models. The results showed that the southern and central regions of Tehran had high concentrations of PM 2.5, and the annual mean of all the stations exceeded the EPA standard (15 μ/m3). According to the annual average, station 16 had the highest concentration of PM2.5 (112.75 μ/m3). The results of RMSE showed that the OK model was more suitable than the others for the spatial zoning of air pollution in the urban landscape (RMSE=9.322).
- انتشار مقاله: 18-10-1398
- نویسندگان: Noushin Birjandi,Morteza Ghobadi,Masoume Ahmadi
- مشاهده