Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Improved Analytic Hierarchy in Water Diversion Scheme

Authors
Qingqing Zhang
Corresponding Author
Qingqing Zhang
Available Online June 2017.
DOI
10.2991/ammee-17.2017.94How to use a DOI?
Keywords
Water Shortage; Improved Analytic Hierarchy; Beijing.
Abstract

This paper is to propose a water diversion scheme to alleviate the shortage of water resources. We select six main reservoirs around Beijing, consider each reservoir characteristic parameter and use Improved Analytic Hierarchy Process to calculate the weight which can fix the problem of subjectivity caused by conventional methods. And we regard the weight as reservoir water transfer ratio. In this model, we use relative proportion to calculate the scale. By this way, we avoid the influence of subjectivity. In the end, the water transfer ratio about different reservoirs is presented. Xidayang reservoir accounts for 21.34% of reservoir water supply, providing the largest amount of water.

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 Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
10.2991/ammee-17.2017.94How 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  - Qingqing Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Improved Analytic Hierarchy in Water Diversion Scheme
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 487
EP  - 490
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.94
DO  - 10.2991/ammee-17.2017.94
ID  - Zhang2017/06
ER  -