Exploration of Relationships between Flood Control Capacity and Peak Flow Reduction in a Multireservoir System Using an Optimization-Clustering-Fitting Framework-Reference-Cited by-同舟云学术

Exploration of Relationships between Flood Control Capacity and Peak Flow Reduction in a Multireservoir System Using an Optimization-Clustering-Fitting Framework

Published:2022-05 Issue:5 Volume:148 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Zhu Di¹,Chen Hua²,Mei Yadong³,Xu Xinfa⁴,Guo Shenglian³

Affiliation:

1. Ph.D. Candidate, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China.

2. Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China (corresponding author).

3. Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China.

4. Professorate Senior Engineer, Jiangxi Provincial Institute of Water Sciences, Nanchang 330029, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001549

Reference45 articles.

1. Extension of the constrained particle swarm optimization algorithm to optimal operation of multi-reservoirs system

2. Weed Optimization Algorithm for Optimal Reservoir Operation

3. Unsupervised learning approach in defining the similarity of catchments: Hydrological response unit based k-means clustering, a demonstration on Western Black Sea Region of Turkey

4. Computation of the level of significance in the F-test.

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