The prediction of water resource and management method in shandong province

DOI

10.2991/icemct-16.2016.206How to use a DOI?

Keywords

time series supply-demand ratio prediction intervene

Abstract

In order to help provide access to clean water for all citizens of the world, we build an evaluation model, analyze corresponding reasons and impacts of water scarcity, and provide a targeted intervention plan. Shandong province where water is heavily overloaded is chosen as our study object. Methods of grey prediction, time series and interpolation are used to predict population size, urbanization level and water situation of Shandong in 15 years. In addition, with the help of multi-objective genetic algorithms, an intervention plan, covering three schemes, is designed for Shandong. Influences that the intervention plan has on surrounding areas are presented as well.

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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TY  - CONF
AU  - Zijun Song
PY  - 2016/04
DA  - 2016/04
TI  - The prediction of water resource and management method in shandong province
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 948
EP  - 951
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.206
DO  - 10.2991/icemct-16.2016.206
ID  - Song2016/04
ER  -