Optimize the real-time operation strategy of urban reservoirs in order to reduce flooding-Reference-Cited by-同舟云学术

Optimize the real-time operation strategy of urban reservoirs in order to reduce flooding

Published:2023-01-22 Issue:4 Volume:8 Page:344-355
ISSN:2363-7692
Container-title:Energy, Ecology and Environment
language:en
Short-container-title:Energ. Ecol. Environ.

Author:

Feng Wenwen^ORCID,Wang Chao,Lei Xiaohui,Wang Hao

Publisher

Springer Science and Business Media LLC

Subject

Energy (miscellaneous),Environmental Science (miscellaneous),Ecology

Link

https://link.springer.com/content/pdf/10.1007/s40974-022-00266-1.pdf

Reference34 articles.

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2. Ahmadianfar I, Samadi-Koucheksaraee A, Bozorg-Haddad O (2017) Extracting optimal policies of hydropower multi-reservoir systems utilizing enhanced differential evolution algorithm. Water Resour Manag 31:4375–4397. https://doi.org/10.1007/s11269-017-1753-z

3. Al-Aqeeli YH, Mahmood Agha OMA (2020) OptResearch on reverse order impoundment mode of cascade reservoir flood control system: case study on upper reaches of Yangtze river Imal operation of multi-reservoir system for hydropower production using particle swarm optimization algorithm. Water Resour Manag 34:3099–3112. https://doi.org/10.1007/s11269-020-02583-8

4. Ali-Askari O (2017) Deficit irrigation: optimization models management of drought and water scarcity. Handbook of drought and water scarcity, 1st edn. Francis Publisher, Taylor, pp 373–389

5. Barreiro J, Lopes R, Ferreira F, Matos JS (2021) Index-based approach to evaluate city resilience in flooding scenarios. Civ Eng J 7(2):197–207. https://doi.org/10.28991/cej-2021-03091647

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