Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

New Design of Dams on Zambezi River

Authors
Aijing Liu
Corresponding Author
Aijing Liu
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.102How to use a DOI?
Keywords
the Kariba Dam, Safe Operation Model, Multi-Objective Programming.
Abstract

A lot of attention has recently been paid to the crisis of the Kariba Dam on the Zambezi River. The dam is in urgent need of maintenance. In order to solve this problem, a series of models are established, and the construction scheme of the dams is studied in detail. At first we establish Safe Operation Model. In this model, we study the relationship between overflow risk rate and dam numbers to determine the approximate range of the quantity. We then analyze the cost and the benefits of the project. Finally, the number of dams is determined by the cost and the benefits. The optimal number of dams that we have calculated is 16. At last, we analyze the results of each of these models, performing sensitivity analysis on the input parameters and demonstrating their flexibility. Then we analyze the strength and weakness of the model.

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 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.102
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.102How 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  - Aijing Liu
PY  - 2017/04
DA  - 2017/04
TI  - New Design of Dams on Zambezi River
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 480
EP  - 483
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.102
DO  - 10.2991/icmmct-17.2017.102
ID  - Liu2017/04
ER  -