Proceedings of the 1st International Conference on Contemporary Education and Economic Development (CEED 2018)

Forecasting on Total Water Demand in China in 2018

Authors
Liu Xiu-li
Corresponding Author
Liu Xiu-li
Available Online December 2018.
DOI
10.2991/ceed-18.2018.103How to use a DOI?
Keywords
Water Demand; Forecast; Multiple Regression Analysis; China; Combined Forecasting Model
Abstract

To forecast total water demand in advance is practically important for water supply plan-ning. The paper first made impacting factors analysis of the total water demand in China and then established three models for the total water demand forecasting by multiple regression analysis. The research shows that the fitting precision of the forecasting models is satisfactory. Through the ap-plication of the models and experts’ experiences, it is forecasted that the total water demand in Chi-na in 2018 will be 608.04 billion m3.

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 1st International Conference on Contemporary Education and Economic Development (CEED 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2018
ISBN
978-94-6252-631-0
ISSN
2352-5398
DOI
10.2991/ceed-18.2018.103How 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  - Liu Xiu-li
PY  - 2018/12
DA  - 2018/12
TI  - Forecasting on Total Water Demand in China in 2018
BT  - Proceedings of the 1st International Conference on Contemporary Education and Economic Development (CEED 2018)
PB  - Atlantis Press
SP  - 533
EP  - 536
SN  - 2352-5398
UR  - https://doi.org/10.2991/ceed-18.2018.103
DO  - 10.2991/ceed-18.2018.103
ID  - Xiu-li2018/12
ER  -