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A Four-Step Method for Optimising the Normal Water Level of Reservoirs Based on a Mathematical Programming Model—A Case Study for the Songyuan Backwater Dam in Jilin Province, China

Bibliographic Data

ID15464852
AuthorsShijun Sun (0000-0003-0495-4496, Northeast Normal University), Xiaofei Yan (0000-0001-9795-2371, Northeast Normal University), Peng Cui (0000-0002-4566-6223, Northeast Normal University), Feng Jiang (0000-0001-7369-9498, Northeast Normal University, corresponding author), Jiang Feng (0000-0002-7503-1069, Northeast Normal University)
Year2011
Volume8
Issue4
Pages1049-1060
Publication date2011-04-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph8041049
PMID21695028
PMCIDPMC3118877
OpenAlexW2162341498
LanguageEN
References cited2

Determination of the optimal normal water level of reservoirs (RNWL) was investigated, incorporating environmental ecology as a primary consideration. RNWL constitutes a relatively significant eigenvalue of any water conservancy project. In the present study, a four-step method based on a mathematical programming model and suitable for RNWL decision making was developed and applied to the water conservancy project of the Songyuan backwater dam in China. System analysis, correlation analysis, significance testing, principal component analysis, sensitivity analysis, and system optimisation theory are used in the solution process. In this study, various factors that impact the economic viability, engineering characteristics, environmental and urban ecology are considered for holistic optimisation. The study shows that the proposed four-step method may provide a feasible quantitative form of support for RNWL decision making

Biology · China · Geography · Operations research · Principal component analysis · Process (computing · Statistics · Water resource management · Computer Science · Engineering · Environmental Science · Mathematics · Water resources management and optimization · Water Systems and Optimization · Water-Energy-Food Nexus Studies · Ecology

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Citation velocityhistorical
Highly citedNo

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