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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

College of Urban and Environmental Sciences, Northeast Normal University, Changchun 130024, China
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Int. J. Environ. Res. Public Health 2011, 8(4), 1049-1060; https://doi.org/10.3390/ijerph8041049
Received: 1 November 2010 / Revised: 31 December 2010 / Accepted: 26 March 2011 / Published: 7 April 2011
(This article belongs to the Special Issue Advances in Environmental Modelling)
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. View Full-Text
Keywords: normal water level; dam construction; mathematical modelling; system analysis; significance test; correlation analysis; principal component analysis; sensitivity analysis   normal water level; dam construction; mathematical modelling; system analysis; significance test; correlation analysis; principal component analysis; sensitivity analysis  
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Sun, S.; Yan, X.; Cui, P.; Feng, J. 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. Int. J. Environ. Res. Public Health 2011, 8, 1049-1060.

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