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Optimal design of seasonal flood limited water levels and its application for the Three Gorges
Reservoir
Citation Network
By: Liu, P (Liu, Pan) [ 1,2 ] ; Li, LP (Li, Liping) [ 1,2 ] ; Guo, SL (Guo, Shenglian) [ 1,2 ] ; Xiong, LH (Xiong, Lihua) [ 1,2 ] ; Zhang, W (Zhang, Wang) [ 1,2 ] ;
7 Times Cited
Zhang, JW (Zhang, Jingwen) [ 1,2 ] ; Xu, CY (Xu, Chong-Yu) [ 1,3 ]
41 Cited References
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JOURNAL OF HYDROLOGY
Volume: 527 Pages: 1045-1053
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DOI: 10.1016/j.jhydrol.2015.05.055
(data from Web of Science TM Core
Collection)
Published: AUG 2015
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Abstract
Reservoirs perform both flood control and integrated water resources development, in which the flood limited water level (FLWL) is the most significant
parameter of tradeoff between flood control and conservation. This study was aimed at developing the varied seasonal FLWL to obtain more economic
benefits without decreasing the original flood prevention standards. The Copula function was used to build the joint distribution of seasonal floods, which
clarified the relationship between the frequencies of the seasonal flood quantiles and those of the annual maximum. A constraint was then established to
All Times Cited Counts
7 in All Databases
7 in Web of Science Core Collection
2 in BIOSIS Citation Index
meet the requirement that the total flood risk of the seasonal FLWL should be less than that of the original FLWL. The seasonal FLWL can optimally be
0 in Chinese Science Citation
Database
determined because numerous schemes of seasonal design floods are able to satisfy a given flood prevention standard. As a result, a simulation-based
0 in Data Citation Index
optimization model was proposed to maximize multiple benefits, such as flood control, hydropower generation and navigation. Using the case study of the
0 in Russian Science Citation Index
China's Three Gorges Reservoir (TGR), the proposed method was demonstrated to provide an effective design for the seasonal FLWL, which decreases a
0 in SciELO Citation Index
slight FLWL for the main flood season to largely increase the FLWL of the pre-flood and post-flood seasons. The optimal designed seasonal FLWL scheme
involves tradeoffs among flood control, hydropower generation and navigation, and enhancement of the economic benefits without increasing the flood risk.
(C) 2015 Elsevier B.V. All rights reserved.
Highly Cited Paper
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Keywords
Author Keywords: Reservoir operation; Seasonal flood limited water level; Three Gorges Reservoir; Seasonal flood; Risk
KeyWords Plus: OPERATING RULES; MULTIRESERVOIR SYSTEMS; GENETIC ALGORITHMS; FREQUENCY-ANALYSIS; DEEP UNCERTAINTY;
OPTIMIZATION; CHINA
Usage Count
Author Information
Last 180 Days: 36
Data from Essential Science Indicators
Since 2013: 41
Reprint Address: Liu, P (reprint author)
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China.
Addresses:
Most Recent Citation
[ 1 ] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
[ 2 ] Hubei Prov Collaborat Innovat Ctr Water Resources, Wuhan 430072, Peoples R China
[ 3 ] Univ Oslo, Dept Geosci Hydrol, Sect Phys Geog & Hydrol, N-0316 Oslo, Norway
E-mail Addresses: liupan@whu.edu.cn
Xu, Changjiang. Deriving Design
Flood Hydrograph Based on
Conditional Distribution: A Case Study
of Danjiangkou Reservoir in Hanjiang
Basin . MATHEMATICAL PROBLEMS
IN ENGINEERING, 2016.
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Funding
Funding Agency
National Natural Science Foundation of China Grant Number
51422907 Program for the New Century Excellent Talents in University NCET-11-0401 View funding text http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=1&SID=Y1ltEcXikdWkGHN1nRe&page=2&doc=18[12/05/2016 12:17:16]
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ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
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Research Areas: Engineering; Geology; Water Resources
Web of Science Categories: Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
Document Information
Document Type: Article
Language: English
Accession Number: WOS:000358629100088
ISSN: 0022-1694
eISSN: 1879-2707
Journal Information
Performance Trends: Essential Science Indicators SM
Impact Factor: Journal Citation Reports ®
Other Information
IDS Number: CN7QM
Cited References in Web of Science Core Collection: 41
Times Cited in Web of Science Core Collection: 7
18 of 204
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