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Optimal allocation of water resources based on dependent chance goal programming

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3 Author(s)
Jiqiang Lv ; Key Lab of Northwest Water Resources and Environmental Ecology of MOE at XAUT, Xi'an 710048, China ; Shuhong Mo ; Bing Shen

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.

Published in:

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

Date of Conference:

26-28 June 2010