Journal of Food, Agriculture and Environment

Environmental impact assessment modeling in an urban man-made lake using fuzzy logic

Author(s):

J. Jassbi ¹, J. Nouri ^2*, M. Abbaspour ³, K. Varshosaz ², N. Jafarzadeh ⁴

Recieved Date: 2009-05-30, Accepted Date: 2009-10-09

Abstract:

Environmental impact assessment essentially depends on diverse closely connected components and variables. For this purpose, identification of the whole components is fundamentally required. This study aims to investigate environmental impact assessment of an urban man-made lake in the western part of Tehran, based on recognition of affecting components and their reciprocal effects. Since the components are not constant during the time, thus throughout the environmental impact assessment modeling study, dynamism of the relation between the components should be considered. Regarding insufficiency and uncertainty of information, an analytical method, based on expert’s opinion can be applied. For this purpose, fuzzy group poll will be carried out throughout model structure design. In fact, in order to solve the lack of historical data in the environmental impact assessment modeling required data will be received based on group poll along with fuzzy logic and then expertise’s opinion will be methodically studied. In this research, fuzzy logic is applied to environmental impact assessment modeling of a man-made lake in western Tehran. Firstly, affecting and affected components have been studied using impacts matrix, then using fuzzy logic, related data are required to be determined by experts on the basis of three indices such as influence rate, influence time and influence frequency. Also, all the collected responses are based on fuzzy logic as the components of transformation function. Finally, the total results will be totalized and fuzzy quantities related to expert’s opinion calculated.

Keywords:

Fuzzy quantity, affecting components, affected components, reciprocal effects, group poll

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Journal: Journal of Food, Agriculture and Environment
Year: 2009
Volume: 7
Issue: 3&4
Category: Environment
Pages: 811-814

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