DocumentCode
2128386
Title
Application of Multi-objective Optimization Models of Watershed Management
Author
Yuan, Xuying ; Wu, Yijin ; Liang, Shuang
Author_Institution
Urban & Environ. Sci. Dept., Central China Normal Univ., Wuhan
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
878
Lastpage
881
Abstract
Watershed, as it comprehensively represents any part of water resource on our land, is considered the most appropriate units not only for the assessment of water environment, analysis and usage of water resources, but also for the management of water quality. Therefore, many scholars use watershed management to deal with the arising water problems and maintain sustainable development at watershed scale. Considering the complication and uncertainty of watershed system, previous scholars began to use various newly-built models to fulfill the task of watershed management, that is, the multi-objective optimization watershed management models. These models enable us to view watershed management from environmental, economical and social aspects. Base on the study of these models, this paper comprehensively concludes the mechanics, feature and methods of the models. Especially, we analysis four applications of multi-objective optimization models in watershed management. Finally, we analysis the problems of the existing models and express our expectation of the development of multi-objective optimization watershed management models in the future.
Keywords
environmental management; optimisation; sustainable development; water quality; water resources; multiobjective optimization models; sustainable development; water environment; water quality management; water resource; watershed management; Economic forecasting; Environmental economics; Environmental factors; Environmental management; Knowledge management; Pareto optimization; Quality management; Resource management; Uncertainty; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3488-6
Type
conf
DOI
10.1109/KAM.2008.187
Filename
4732956
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