Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

A Macro Water Supply System Evaluation Model

Authors
Zhe Zhang
Corresponding Author
Zhe Zhang
Available Online March 2017.
DOI
10.2991/amcce-17.2017.81How to use a DOI?
Keywords
Water Supply System Evaluation ,Water Scarcity,Egypt
Abstract

In this paper, an evaluation and decision model for the water supply system in a region was built using the method of Grading Evaluation Method (GEM). Four indicators are defined, which are Probability of Water Supply (IS), Reliability of Water Supply (IR), Water Utilization Rate (IW) and Efficiency of Water Utilization (IE). The grades (+, =, ) of them respectively represent the indicator are high, middle and low. Then I set up a water supply indicator system and display in the evaluation and decision table. From the table, we can look to the problem and find corresponding solutions. On the basis of GEM, I creatively formulate the evaluation model. Meanwhile, a creative intervention plan is presented. At last, Egypt was chosen to verify the rationality of the model. The results are IS IR IW+ IE , which shows Egypt's water will be over-exploited in the next few years.

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 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.81
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.81How 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  - Zhe Zhang
PY  - 2017/03
DA  - 2017/03
TI  - A Macro Water Supply System Evaluation Model
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 469
EP  - 472
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.81
DO  - 10.2991/amcce-17.2017.81
ID  - Zhang2017/03
ER  -