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

fYear

2013

fDate

20-22 June 2013

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on

Conference_Location

Kaifeng

ISSN

2161-024X

Type

conf

DOI

10.1109/Geoinformatics.2013.6626084

Filename

6626084