Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

Forecasting on China’s Total Water Demand in 2018

Authors
Xiuli Liu
Corresponding Author
Xiuli Liu
Available Online April 2018.
DOI
https://doi.org/10.2991/cmsa-18.2018.58How to use a DOI?
Keywords
water demand; forecast; multiple regression analysis; combined forecasting model; China
Abstract

To forecast total water demand in advance is practically important for water supply planning. The paper first made impacting factors analysis of the total water demand in China. Then established three models for the total water demand forecasting by multiple regression analysis. The fitting precision of the forecasting models is satisfactory. Applied the models and expert experiences, made the total water demand forecast in China 2018 in some scenarios. The results show that the total water demand will be 608.04 billion m3 in 2018 in China.

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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Volume Title
Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
10.2991/cmsa-18.2018.58
ISSN
1951-6851
DOI
https://doi.org/10.2991/cmsa-18.2018.58How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiuli Liu
PY  - 2018/04
DA  - 2018/04
TI  - Forecasting on China’s Total Water Demand in 2018
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 254
EP  - 257
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.58
DO  - https://doi.org/10.2991/cmsa-18.2018.58
ID  - Liu2018/04
ER  -