Evaluation of Water Resources Carrying Capacity in Shandong Province Based on Spatial Cluster

Water resources carrying capacity is a crucial part of regional natural resources carrying capacity, which is a restriction factor in the region tightly short of water resources whether can support harmonious development of population, economy and environment. The major difficulties for Water resources carrying capacity assessment was to determine the weight of each indicator. Illuminated by this, this paper applies spatial cluster analysis to the study of the water resources carrying capacity . Based on the evaluation indicator system of water resources carrying capacity developed in the paper, k-means clustering and neural network model are used to evaluate the water resources carrying capacity in Shandong Province. The case analysis indicates that neural network theory can better evaluate the water resources carrying capacity. Its outcome is more sensible, and it can be used as a scientific guide for strategic decisions regarding sustainable utilization of water resource in Shandong Province.