Proceedings of the 2013 International Conference on Software Engineering and Computer Science

Modeling applied in prediction and allocation of water resources in vast area

Authors
Sunyechu Wang, Kaixi Huang, Jieting Gong
Corresponding Author
Sunyechu Wang
Available Online September 2013.
DOI
10.2991/icsecs-13.2013.45How to use a DOI?
Keywords
GM(1,1) model; Gray-Markov Chain model; linear programming; unbalanced transportation problem
Abstract

Thepaper mainly discusses prediction of water consumption and precipitation and allocation among areas. First of all, the vast area is divided into smaller parts according to its water resources, measured by precipitation in recent years. Precipitation and water consumption is predicted within each part before deciding water transportation plan among areas.

Copyright
© 2013, 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 2013 International Conference on Software Engineering and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
September 2013
ISBN
10.2991/icsecs-13.2013.45
ISSN
1951-6851
DOI
10.2991/icsecs-13.2013.45How to use a DOI?
Copyright
© 2013, 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  - Sunyechu Wang
AU  - Kaixi Huang
AU  - Jieting Gong
PY  - 2013/09
DA  - 2013/09
TI  - Modeling applied in prediction and allocation of water resources in vast area
BT  - Proceedings of the 2013 International Conference on Software Engineering and Computer Science
PB  - Atlantis Press
SP  - 205
EP  - 209
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsecs-13.2013.45
DO  - 10.2991/icsecs-13.2013.45
ID  - Wang2013/09
ER  -