A Study on Eco-hydrology Regionalization and its Application
Eco-hydrology regionalization plays an important role in releasing contradiction between water resources development and ecological environment protection. Based on the theory of self-organizing feature map (SOFM) artificial neural network, an eco-hydrology regionalization model is developed. In the model, several integrated indexes, which contain most original information, are extracted from a large number of eco-hydrology indexes using the principal component analysis (PCA). On this basis, the cluster genealogy chart is obtained by the hierarchical cluster analysis (HCA). Then the self-organizing feature map (SOFM) artificial neural network is constructed to regionalize rational eco-hydrology regionalization, based on the characteristics and cluster genealogy char. As an example, Quanzhou region is regionalized. The result indicates that there are 4 eco-hydrology zones and each of them has the distinct characteristics. For the different characteristics of each eco-hydrology zone, 4 policies about are eco-environmental protection and water resources development proposed, that are general, enhancive, strict and strictest measures to protect eco-environment and develop water resources.
Shaowei Wang Xinyi Xu Qi Tang Mei Liu Jingshan Yu
College of Water Sciences, Beijing Normal University (CWS-BNU) Beijing, China
国际会议
成都
英文
1-6
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）