RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2007, Vol. 16 >> Issue (4): 456-456.

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APPLICATION OF SELF ORGANIZING COMPETITIVE NEURAL NETWORKS IN THE EVALUATION OF SUSTAINABLE  UTILIZATION OF WATER RESOURCES IN YUNNAN PROVINCE

ZHANG Xianqi\+1, LIU Huiqing\+2, LIANG Chuan\+1   

  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-21

Abstract:

Comprehensive evaluation of sustainable utilization of water resources is a typical multigoal multilayer and multiattribute decisionmaking problem, with the necessity to consider factors of society, economy, resources and environment. Based on the real status in Yunnan Province, a relative rich region in terms of water resources, a new evaluation index system for sustainable utilization of water resources was set up, by using clustering function of selforganizing and selfadapting of selforganizing neural network. Clustering analysis was conducted in Yunnan Province and in various degrees of water utilization. It is shown that sustainable degree in utilization of water resources in Yunnan Province can be classified into 5 classes, and as a whole, Yunnan Province belongs to class Ⅲ, implying that sustainable utilization of water resources can be maintained in the province on the whole. The model provides us a new method and thought for comprehensive evaluation in sustainable utilization of water resources.[

Key words: water resources, sustainable utilization, neural network, clustering

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