Prioritization of water management under climate change and urbanization using multi-criteria decision making methods

This paper quantifies the transformed effectiveness of alternatives for watershed management caused by climate change and urbanization and prioritizes five options using multi-criteria decision making techniques. The climate change scenarios (A1B and A2) were obtained by using a statistical downscal...

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Main Authors: J.-S. Yang, E.-S. Chung, S.-U. Kim, T.-W. Kim
Format: Article
Language:English
Published: Copernicus Publications 2012-03-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/16/801/2012/hess-16-801-2012.pdf
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spelling doaj-24ff44265cd543e6a5702a29b010269d2020-11-24T22:42:43ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382012-03-0116380181410.5194/hess-16-801-2012Prioritization of water management under climate change and urbanization using multi-criteria decision making methodsJ.-S. YangE.-S. ChungS.-U. KimT.-W. KimThis paper quantifies the transformed effectiveness of alternatives for watershed management caused by climate change and urbanization and prioritizes five options using multi-criteria decision making techniques. The climate change scenarios (A1B and A2) were obtained by using a statistical downscaling model (SDSM), and the urbanization scenario by surveying the existing urban planning. The flow and biochemical oxygen demand (BOD) concentration duration curves were derived, and the numbers of days required to satisfy the environmental flow requirement and the target BOD concentration were counted using the Hydrological Simulation Program-Fortran (HSPF) model. In addition, five feasible alternatives were prioritized by using multi-criteria decision making techniques, based on the driving force-pressure-state-impact-response (DPSIR) framework and cost component. Finally, a sensitivity analysis approach for MCDM methods was conducted to reduce the uncertainty of weights. The result indicates that the most sensitive decision criterion is cost, followed by criteria response, driving force, impact, state and pressure in that order. As it is certain that the importance of cost component is over 0.127, construction of a small wastewater treatment plant will be the most preferred alternative in this application.http://www.hydrol-earth-syst-sci.net/16/801/2012/hess-16-801-2012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J.-S. Yang
E.-S. Chung
S.-U. Kim
T.-W. Kim
spellingShingle J.-S. Yang
E.-S. Chung
S.-U. Kim
T.-W. Kim
Prioritization of water management under climate change and urbanization using multi-criteria decision making methods
Hydrology and Earth System Sciences
author_facet J.-S. Yang
E.-S. Chung
S.-U. Kim
T.-W. Kim
author_sort J.-S. Yang
title Prioritization of water management under climate change and urbanization using multi-criteria decision making methods
title_short Prioritization of water management under climate change and urbanization using multi-criteria decision making methods
title_full Prioritization of water management under climate change and urbanization using multi-criteria decision making methods
title_fullStr Prioritization of water management under climate change and urbanization using multi-criteria decision making methods
title_full_unstemmed Prioritization of water management under climate change and urbanization using multi-criteria decision making methods
title_sort prioritization of water management under climate change and urbanization using multi-criteria decision making methods
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2012-03-01
description This paper quantifies the transformed effectiveness of alternatives for watershed management caused by climate change and urbanization and prioritizes five options using multi-criteria decision making techniques. The climate change scenarios (A1B and A2) were obtained by using a statistical downscaling model (SDSM), and the urbanization scenario by surveying the existing urban planning. The flow and biochemical oxygen demand (BOD) concentration duration curves were derived, and the numbers of days required to satisfy the environmental flow requirement and the target BOD concentration were counted using the Hydrological Simulation Program-Fortran (HSPF) model. In addition, five feasible alternatives were prioritized by using multi-criteria decision making techniques, based on the driving force-pressure-state-impact-response (DPSIR) framework and cost component. Finally, a sensitivity analysis approach for MCDM methods was conducted to reduce the uncertainty of weights. The result indicates that the most sensitive decision criterion is cost, followed by criteria response, driving force, impact, state and pressure in that order. As it is certain that the importance of cost component is over 0.127, construction of a small wastewater treatment plant will be the most preferred alternative in this application.
url http://www.hydrol-earth-syst-sci.net/16/801/2012/hess-16-801-2012.pdf
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AT eschung prioritizationofwatermanagementunderclimatechangeandurbanizationusingmulticriteriadecisionmakingmethods
AT sukim prioritizationofwatermanagementunderclimatechangeandurbanizationusingmulticriteriadecisionmakingmethods
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