Water Resources Carrying Capacity Based on Principal Component Analysis

被引：0
|
作者：
Xu, Yuanyuan [1 ]
Zhao, Qingliang [1 ]
机构：
[1] Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475001, Peoples R China
来源：
2013 21ST INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS) | 2013年
关键词：
Henan province; water resources carrying capacity; principal component analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：5
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