Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)

Analyzing Water-Supply Situation in the Future

Authors
Haoxin Tian
Corresponding Author
Haoxin Tian
Available Online February 2017.
DOI
10.2991/icessms-16.2017.15How to use a DOI?
Keywords
PCA, Correlation Degree, Time-Series, Gray Markov Model.
Abstract

In this paper, the water-supply model is established to analyze the ability of a region to provide clean water to meet the needs of its population, the dynamic nature of the factors that affect both supply and demand must be taken into account, the water supply ability in different regions, and predict the water situation in 15 years. The result shows that different regions have different water supply situations, and the water situation in 15 years using our model to predict is not good enough, thus we should to protect water and reusing it to make sure our water supply can be better in the future.

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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Volume Title
Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2017
ISBN
10.2991/icessms-16.2017.15
ISSN
2352-5398
DOI
10.2991/icessms-16.2017.15How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Haoxin Tian
PY  - 2017/02
DA  - 2017/02
TI  - Analyzing Water-Supply Situation in the Future
BT  - Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)
PB  - Atlantis Press
SP  - 64
EP  - 68
SN  - 2352-5398
UR  - https://doi.org/10.2991/icessms-16.2017.15
DO  - 10.2991/icessms-16.2017.15
ID  - Tian2017/02
ER  -