Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering

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Explaination of water scarcity situation for Hebei Province

Authors
Tong Li
Corresponding Author
Tong Li
Available Online August 2016.
DOI
10.2991/essaeme-16.2016.94How to use a DOI?
Keywords
water scarcity, R-type clustering method, Principal Component Analysis
Abstract

we choose the region of Hebei as our example to find its water scarcity situation.R-type clustering method is developed to divide the factors of physical and economic scarcity into four parts,hydropower construction investment,effective irrigation area,water consumption per capita and other reasons. Then we invoke Principal Component Analysis(PCA) to determine the weight of each factor. We find the backward hydropower construction situation mainly causes the water scarcity.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2016
ISBN
978-94-6252-220-6
ISSN
2352-5398
DOI
10.2991/essaeme-16.2016.94How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Tong Li
PY  - 2016/08
DA  - 2016/08
TI  - Explaination of water scarcity situation for Hebei Province
BT  - Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering
PB  - Atlantis Press
SP  - 443
EP  - 445
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-16.2016.94
DO  - 10.2991/essaeme-16.2016.94
ID  - Li2016/08
ER  -