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

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/).

Download article (PDF)

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
10.2991/emcm-16.2017.73
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

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  -