Optimal allocation of water resources based on dependent chance goal programming

Author

Lv Jiqiang ; Mo Shuhong ; Shen Bing

Author_Institution

Key Lab. of Northwest Water Resources & Environ. Ecology of MOE, XAUT, Xi´an, China

fYear

2010

fDate

26-28 June 2010

Firstpage

5128

Lastpage

5131

Abstract

By analyzing the Baoji Municipal water supply planning and historical data, obtained the water supply ranges under the different guaranteed rate and predicted the water consumption of agriculture, life, industry and ecological environment in year 2015 and 2020 with the development of society. Considering the uncertainty and risk in the system, the model was based on dependent chance goal programming, and solved with hybrid intelligent algorithm combined with stochastic, GA and ANN. The conclusions in this paper had a significant practical meaning to the sustainable and coordinated development of BaoJi city. The model was proved to be scientific and feasible in the case study.

Keywords

genetic algorithms; neural nets; stochastic programming; water resources; Baoji Municipal water supply; artificial neural nets; dependent chance goal programming; genetic algorithm; hybrid intelligent algorithm; stochastic algorithm; water resources allocation; Agriculture; Biological system modeling; Cities and towns; Environmental factors; Monte Carlo methods; Resource management; Stochastic processes; Stochastic systems; Uncertainty; Water resources; hybrid intelligent algorithm; optimal allocation; stochastic programming model; water resource;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7737-1

Type

conf

DOI

10.1109/MACE.2010.5535941

Filename

5535941