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

Physical Scarcity of Water in a Region

Authors
Yu Zhang
Corresponding Author
Yu Zhang
Available Online May 2016.
DOI
10.2991/wartia-16.2016.145How to use a DOI?
Keywords
Logistic Model, s-type Curve, ARMA Model, Grey Relational.
Abstract

This report builds a s-type curve model which defines the change of per capita water consumption following the change of GDP, and it defines the rate of per capita satisfaction of using water which is considered as the index to judge the ability of the region to provide clean water to meet the needs of its population. Under certain prediction, analyzing and function fitting, we can achieve to get the rate of per capita satisfaction of using water in the future by predicting rainfall capacity to determine other water resources.

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
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.145How 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  - Yu Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Physical Scarcity of Water in a Region
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 696
EP  - 700
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.145
DO  - 10.2991/wartia-16.2016.145
ID  - Zhang2016/05
ER  -