A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic

This study recommends a GIS-based (Geographic Information Systems) and multi-criteria evaluation for site selection of gas power plant in Natanz City of Iran. The multi-criteria decision framework integrates legal requirements and physical constraints related to environmental and economic concerns....

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Main Authors: F.S. Alavipoor, S. Karimi, J. Balist, A.H. Khakian
Format: Article
Language:English
Published: GJESM Publisher 2016-03-01
Series:Global Journal of Environmental Science and Management
Subjects:
Online Access:http://www.gjesm.net/article_17871_8429a067b69223aaae101d06d1d3832f.pdf
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author F.S. Alavipoor
S. Karimi
J. Balist
A.H. Khakian
author_facet F.S. Alavipoor
S. Karimi
J. Balist
A.H. Khakian
author_sort F.S. Alavipoor
collection DOAJ
description This study recommends a GIS-based (Geographic Information Systems) and multi-criteria evaluation for site selection of gas power plant in Natanz City of Iran. The multi-criteria decision framework integrates legal requirements and physical constraints related to environmental and economic concerns. It also builds a hierarchy model for gas power plant suitability. The methodologies used for site selection include analytic hierarchy process (AHP), fuzzy set theory and weighted linear combination. The AHP (analytic hierarchy process) is a multi-criteria approach which is used to establish the relative importance of criteria. The AHP makes pair-wise comparisons of relative importance between hierarchy elements categorized by environmental decision criteria. In the next step, the fuzzy set theory is used to standardize criteria through different fuzzy membership functions and fuzzy layers are formed by using fuzzy operators in ArcGIS environment. Subsequently, they are categorized into 6 classes using Reclassify Function. Weighted linear combination is used to combine the criteria layers. Finally, the two approaches are analyzed in order to locate the most suitable site to establish a gas power plant. According to the results, using GAMMA fuzzy operator is considered suitable for this site selection.
format Article
id doaj-art-77281835d5c24f8c8d907c187b0fb0d9
institution Kabale University
issn 2383-3572
2383-3866
language English
publishDate 2016-03-01
publisher GJESM Publisher
record_format Article
series Global Journal of Environmental Science and Management
spelling doaj-art-77281835d5c24f8c8d907c187b0fb0d92025-02-02T15:11:16ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662016-03-012219720710.7508/gjesm.2016.02.01017871A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logicF.S. Alavipoor0S. Karimi1J. Balist2A.H. Khakian3Department of Environmental Planning, Management and Education, Faculty of Environment, University of Tehran, P.O. Box 14135, Tehran, IranDepartment of Environmental Planning, Management and Education, Faculty of Environment, University of Tehran, P.O. Box 14135, Tehran, IranDepartment of Environmental Planning, Management and Education, Faculty of Environment, University of Tehran, P.O. Box 14135, Tehran, IranDepartment of Environmental Planning, Management and Education, Faculty of Environment, University of Tehran, P.O. Box 14135, Tehran, IranThis study recommends a GIS-based (Geographic Information Systems) and multi-criteria evaluation for site selection of gas power plant in Natanz City of Iran. The multi-criteria decision framework integrates legal requirements and physical constraints related to environmental and economic concerns. It also builds a hierarchy model for gas power plant suitability. The methodologies used for site selection include analytic hierarchy process (AHP), fuzzy set theory and weighted linear combination. The AHP (analytic hierarchy process) is a multi-criteria approach which is used to establish the relative importance of criteria. The AHP makes pair-wise comparisons of relative importance between hierarchy elements categorized by environmental decision criteria. In the next step, the fuzzy set theory is used to standardize criteria through different fuzzy membership functions and fuzzy layers are formed by using fuzzy operators in ArcGIS environment. Subsequently, they are categorized into 6 classes using Reclassify Function. Weighted linear combination is used to combine the criteria layers. Finally, the two approaches are analyzed in order to locate the most suitable site to establish a gas power plant. According to the results, using GAMMA fuzzy operator is considered suitable for this site selection.http://www.gjesm.net/article_17871_8429a067b69223aaae101d06d1d3832f.pdfgas power plantFuzzy logicAHPGeographic Information System, Gamma operator
spellingShingle F.S. Alavipoor
S. Karimi
J. Balist
A.H. Khakian
A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic
Global Journal of Environmental Science and Management
gas power plant
Fuzzy logic
AHP
Geographic Information System, Gamma operator
title A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic
title_full A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic
title_fullStr A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic
title_full_unstemmed A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic
title_short A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic
title_sort geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic
topic gas power plant
Fuzzy logic
AHP
Geographic Information System, Gamma operator
url http://www.gjesm.net/article_17871_8429a067b69223aaae101d06d1d3832f.pdf
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