Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

A Supply-Demand Model on Allocation of Water Resources

Authors
Tian-hao Wu
Corresponding Author
Tian-hao Wu
Available Online March 2017.
DOI
10.2991/amcce-17.2017.79How to use a DOI?
Keywords
Water scarcity Supply-Demand model Water transfer Intervention
Abstract

Two basic models are constructed in this paper to study water scarcity. The first model demonstrates an intuitive association between water supply and demand. The second model illustrates how to achieve the optimal allocation of water resources through our intervention. Taking Southwest America for example, this paper analyses the water scarcity condition by using supply-demand model and then gives qualitative analysis of inter basin water transfer. Conclusion shows our model has positive effect on alleviating water resources scarcity and making the distribution of water resources more reasonable. In the end, this paper analyses some strengths and weaknesses of our model to make the model more practice and applicable.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.79
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.79How 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  - Tian-hao Wu
PY  - 2017/03
DA  - 2017/03
TI  - A Supply-Demand Model on Allocation of Water Resources
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 460
EP  - 464
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.79
DO  - 10.2991/amcce-17.2017.79
ID  - Wu2017/03
ER  -