An Optimized Model of Water Resources Assessment and Its Application

DOI

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.

Copyright

© 2017, 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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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  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 738
EP  - 746
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.150
DO  - 10.2991/icwcsn-16.2017.150
ID  - Song2016/12
ER  -