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

Prediction of water scarcity situation of a region

Authors
Meiqi Song
Corresponding Author
Meiqi Song
Available Online May 2016.
DOI
10.2991/wartia-16.2016.160How to use a DOI?
Keywords
Scarcity situation, Grey Verhulst, Curve Fitting
Abstract

Currently, one quarter of the world's population is experiencing water scarcity. In order to alleviate this situation, a prediction model which based on quadratic curve fit and the method of Grey Verhulst has been built. We used quadratic curve fit to forecast the comprehensive indicator and the per capital water supply and demand ratio. And the wastewater emissions are predicted by the method of Grey Verhulst. Through the prediction results of these three indicators, we can know what the water scarcity situation of a region, a country, or a city will be in the future. So we can take measures in advance and minimize adverse effects.

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-16.2016.160
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.160How 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  - Meiqi Song
PY  - 2016/05
DA  - 2016/05
TI  - Prediction of water scarcity situation of a region
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 755
EP  - 758
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.160
DO  - 10.2991/wartia-16.2016.160
ID  - Song2016/05
ER  -