Title :
Water resources carrying capacity based on principal component analysis
Author :
Yuanyuan Xu ; Qingliang Zhao
Author_Institution :
Key Lab. of Geospatial Technol. for the Middle & Lower Yellow River Regions, Kaifeng, China
Abstract :
Based on the principal component analysis method from 11 evaluation indicators influence on the water resources carrying capacity, this thesis works out two comprehensive indicators as principal component factors, determines the weights of two principal components using the entropy method, and calculates comprehensive score. The results show that the level of water resources carrying capacity in Henan province is on the rise, technology and social economic development level are the main driving factors, and the water resources carrying capacity has negative correlation with agricultural water.
Keywords :
entropy; hydrological techniques; principal component analysis; water resources; Henan province; agricultural water; entropy method; evaluation indicators; principal component analysis method; principal component factors; social economic development level; water resources carrying capacity; Economics; Eigenvalues and eigenfunctions; Entropy; Principal component analysis; Rivers; Sociology; Water resources; Henan province; principal component analysis; water resources carrying capacity;
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
DOI :
10.1109/Geoinformatics.2013.6626084
