The New Evaluation Mechanism of Water Scarcity

DOI

10.2991/icreet-16.2017.103How to use a DOI?

Keywords

Water scarcity, Neutral Network Model, Grey Forecasting Model

Abstract

This paper examines water scarcity from both social and environmental perspectives in arrange of 6 factors. 3 social factors and 3 environmental factors are used to analyse both physical and economic water scarcity. After collecting all above factors of 176 countries or regions, a rating mechanism is developed by dividing each variable into 3 to 5 levels to present a neural network model. Then further improve our initial network model into a hybrid model by incorporating grey forecasting model. Shandong Province of China is chosen to explain, where water resources are heavily exploited. After analysing its water scarcity condition comprehensively from the perspectives of society and environment,The results are: a) It suffers from physical water scarcity more than economic. b) In 15 years, with the growth of GDP, water shortage situation of Shandong has been improved. c) To release water stress, the government should expand its budget deficit moderately.

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)

TY  - CONF
AU  - Xinyi Ren
AU  - Ying Huang
PY  - 2017/03
DA  - 2017/03
TI  - The New Evaluation Mechanism of Water Scarcity
BT  - Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
PB  - Atlantis Press
SP  - 613
EP  - 616
SN  - 2352-5401
UR  - https://doi.org/10.2991/icreet-16.2017.103
DO  - 10.2991/icreet-16.2017.103
ID  - Ren2017/03
ER  -