Evaluation of Water Resources Sustainable Utilization Based on Self-Organizing Competition Neural Networks

Water resources sustainable use evaluation plays an important role in water resources planning and management, and it is a typical multi-goals, multi-layers and multi-attributes decision-making process, it needs to consider comprehensively social, economic, resources and environmental factors. A new evaluation index system of water resources sustainable utilization has been set up based on Yunnan province, through applying the clustering function of SOFM network, carrying out a clustering analysis on water resources sustainable utilization degree. The clustering outcome shows that water resources sustainable utilization degree in Yunnan province can be classified to 5 classes, the total Yunnan province belongs to III class, that is to say water resources sustainable utilization can be maintained on the whole. The model provides us a new method and thought for evaluating of water resources sustainable utilization.