Mathematical Models on Water Scarcity Prediction, Influencing Factors Analysis and Water Transfer

DOI

10.2991/wartia-16.2016.222How to use a DOI?

Keywords

water scarcity, regression model, grey relational model, VPR

Abstract

Predicting and modeling the water scarcity condition is a complex problem. In this article, the regression model predicting the water demand and supply and the gray relational model analyzing the factors of water scarcity are proposed. Take Henan for example, Henan is heavily lack for water. To remit the situation of water scarcity, VPR (Vehicle Routing Problem) model can help find a best plan to transport water from Danjiangkou reservoir to Henan.

Copyright

© 2016, 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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TY  - CONF
AU  - Xin Zheng
PY  - 2016/05
DA  - 2016/05
TI  - Mathematical Models on Water Scarcity Prediction, Influencing Factors Analysis and Water Transfer
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1047
EP  - 1050
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.222
DO  - 10.2991/wartia-16.2016.222
ID  - Zheng2016/05
ER  -