Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Water Situation is Known

Authors
Zheng Hu
Corresponding Author
Zheng Hu
Available Online June 2016.
DOI
10.2991/mecs-17.2017.39How to use a DOI?
Keywords
water scarcity, monadic regression, multiple linear regression, water supply ability
Abstract

Water Supply has drawn a great deal of attention from the entire world for recent decades, while the available water is scarce in many countries and regions. The aim is to build a mathematical model to measure the ability of a region to provide clean water to meet the needs of its population, and use the model to make a prediction of the water situation for China's Jiangsu Province in 15 years.Therefore, water demand and supply, were researched. As for water demand (have four influence factors: population density, factory distribution, industrial water consumption and agricultural water consumption), I set up monadic regression equations about the time variables for each factor. Then these four equations were added together to get a formula about time and water demand. For water supply (have four influence factors: sewage quantity, surface water, underground water and precipitation), according to the natural elements and environmental purification ability as well as the situation of the pollution of clean water getting from the severe polluted water, I found relevant data of all time variables. Based on the data, I set up a multiple linear regression equation about time variable for fresh water supply. Finally, on the basis of demand and supply, the water supply ability was defined as the measuring index.

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 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
10.2991/mecs-17.2017.39How 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  - Zheng Hu
PY  - 2016/06
DA  - 2016/06
TI  - Water Situation is Known
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.39
DO  - 10.2991/mecs-17.2017.39
ID  - Hu2016/06
ER  -