Analysis of Water Shortage Solution Based on Gray Prediction

DOI

10.2991/emehss-18.2018.84How to use a DOI?

Keywords

Water Scarcity, Forecasting Model, the Gray Correlation Analysis Method.

Abstract

With the increase of population and the change of climate, the problem of water shortage is becoming more and more serious. The global water scarcity has been a critical challenge for human beings in twenty-first Century. Our model takes Beijing that is serious shortage of water for example. We use the gray correlation analysis method to analyze the reasons for the lack of water in Beijing and find that agricultural water and industrial water account for the major proportion. Further, prediction models of Task 1 are used to predict the change trend of each factor in the next 15 years. The fitting effect of prediction curves is very good, and it shows that prediction methods are reasonable and accurate. According to these changing trends, the influence of citizens' life in the future is expected.

Copyright

© 2018, 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  - Xinqiao Zheng
PY  - 2018/03
DA  - 2018/03
TI  - Analysis of Water Shortage Solution Based on Gray Prediction
BT  - Proceedings of the 2nd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2018)
PB  - Atlantis Press
SP  - 425
EP  - 427
SN  - 2352-5398
UR  - https://doi.org/10.2991/emehss-18.2018.84
DO  - 10.2991/emehss-18.2018.84
ID  - Zheng2018/03
ER  -