Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

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A Model of Measuring and Predicting the Water Condition

Authors
Yannan Sun
Corresponding Author
Yannan Sun
Available Online February 2017.
DOI
10.2991/emcm-16.2017.73How to use a DOI?
Keywords
Water shortage; Intervention plan; Grey predict model; People logistic model; Auto regressive model
Abstract

In this article, we mainly discuss the problem of water shortage and exhaustion and how to relieve it. A model is developed to measure and predict the water condition of a region and then an intervention plan is designed for the water scarcity region.

Copyright
© 2017, 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 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
978-94-6252-297-8
ISSN
2352-538X
DOI
10.2991/emcm-16.2017.73How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - CONF
AU  - Yannan Sun
PY  - 2017/02
DA  - 2017/02
TI  - A Model of Measuring and Predicting the Water Condition
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.73
DO  - 10.2991/emcm-16.2017.73
ID  - Sun2017/02
ER  -