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Examining Environmental Pollution in Industrial Towns using the Spatial Multi-Criteria Evaluation Model (SMCE)
One of the necessities of planning at the national and regional levels is accessibility and location of appropriate places for managing industrial pollution. One of powerful tools used to reduce the adverse effects and to increase the adaptation of the policies of the industrial sector with the envi...
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Published in: | Journal of economic & management perspectives 2017-12, Vol.11 (4), p.1038-1047 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | One of the necessities of planning at the national and regional levels is accessibility and location of appropriate places for managing industrial pollution. One of powerful tools used to reduce the adverse effects and to increase the adaptation of the policies of the industrial sector with the environment is the environmental management plan. Today, in many countries, this plan is being implemented or has been implemented in many development projects. In the present study, it was tried to zone various environmental pollution in the industrial town, East Azerbaijan, using Spatial Multi-Criteria Evaluation approach. Firstly, hierarchical criteria and sub-criteria were determined by preparing the initial data. Accordingly, four applied criteria including environmental criteria, industry, climatic index and geological index were identified. The results of studying climatic data and the maps produced using spatial and hierarchical models indicate that since the area is mountainous and there is a severe erosion in overcast areas of the aforementioned region, in terms of pollution distribution and concentration of pollution density, this region didn't act in the form of a bowl, and to some extent, except for small areas, the amount of pollution is higher in the overcast areas as well as the areas with steep slopes and it is better to do industrial activities in these areas in compliance with environmental standards. |
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ISSN: | 2523-5338 2523-5338 |