An Optimized Model of Water Resources Assessment and Its Application
A-ling Song, Rong-Ping Fan, Hai-Feng Liu, Shou-Sheng Liu
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.150How to use a DOI?
- Water scarcity; WPI; Principal component analysis; Correlation analysis; Sensitivity analysis.
- 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.
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 SP - 738 EP - 746 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 -