Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

An Optimized Model of Water Resources Assessment and Its Application

Authors
A-ling Song, Rong-Ping Fan, Hai-Feng Liu, Shou-Sheng Liu
Corresponding Author
A-ling Song
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.150How to use a DOI?
Keywords
Water scarcity; WPI; Principal component analysis; Correlation analysis; Sensitivity analysis.
Abstract
In this paper, the classical WPI model is optimized by using principal component analysis, and a PCA based evaluation model is proposed. When the model is applied to the water resources data of Beijing area, the experiments have shown that the evaluation efficiency of WPI is significantly improved. And when used to evaluate WPI in different city and countryside, the optimized model has also achieved satisfying results. On this basis, this paper puts forward a prediction model for future water environment, which has predicted future water resource in the Shan-gan-ning district and also puts forward a set of intervention programs based on related analysis.The date shows that the model is effective in alleviate the water shortage.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.150How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - A-ling Song
AU  - Rong-Ping Fan
AU  - Hai-Feng Liu
AU  - Shou-Sheng Liu
PY  - 2016/12
DA  - 2016/12
TI  - An Optimized Model of Water Resources Assessment and Its Application
BT  - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.150
DO  - https://doi.org/10.2991/icwcsn-16.2017.150
ID  - Song2016/12
ER  -