Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Assessment and prediction of water resources based on Grey Theory

Authors
HongWang Yang
Corresponding Author
HongWang Yang
Available Online May 2016.
DOI
10.2991/wartia-16.2016.165How to use a DOI?
Keywords
GM(1,1), water scarcity,water demand and supply index.
Abstract

The ability of a region to provide clean water relates to many aspects of the physical and economic elements. We use natural and social indicators to evaluate this feature. To measure the ability of a region to provide clean water to meet the needs of its population, water demand and supply index (WDSI) is defined as the ratio of the amount of water demand and water supply. Obviously, if the index >1, the region is suffering from water scarcity. Water demand includes industrial water, agricultural water and domestic water. Water supply consists of surface water, groundwater and other clean water. To evaluate this model, we select six countries spreading in five Water stress indicator interval in the UN water scarcity map and calculate their WSDI from 1988 to 2002. Then we apply the cluster analysis to divide the countries into five classes. The test result fits water stress indicator interval showed by the UN water scarcity map perfectly.

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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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.165
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.165How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - HongWang Yang
PY  - 2016/05
DA  - 2016/05
TI  - Assessment and prediction of water resources based on Grey Theory
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 778
EP  - 783
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.165
DO  - 10.2991/wartia-16.2016.165
ID  - Yang2016/05
ER  -