Technical Papers
Nov 3, 2014

Risk Analysis for Real-Time Flood Control Operation of a Reservoir

Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 8

Abstract

There are many uncertainties in real-time flood control operation of a reservoir, which create risks in flood control decision making. In this paper, three uncertainty factors—reservoir inflow-forecasting errors, outflow errors, and observation errors of reservoir storage capacity curve—are taken into account and quantified methods are proposed. With consideration of the three uncertainties and correlation between inflow-forecasting errors, reservoir water-level errors are derived using the stochastic differential equation of reservoir flood routing. Then the definition and calculation methods for flood risk at each moment and the integrated risk of the entire flood process are proposed. The Dahuofang reservoir in China is selected as the case study. The results shows that the risk resulting from the uncertainties is decreased by the reservoir flood regulation function and that the proposed method can provide a useful way to estimate the risks in real-time reservoir flood control.

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Acknowledgments

This study was funded by the National Scientific Program for Global Change Research of China (973 Program, Grant No. 2010CB951102), the National Basic Research Program of China (973 Program, Grant No. 2013CB036406), and the National Natural Science Foundation of China (Grant No. 51179044).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 141Issue 8August 2015

History

Received: Mar 24, 2014
Accepted: Sep 17, 2014
Published online: Nov 3, 2014
Discussion open until: Apr 3, 2015
Published in print: Aug 1, 2015

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Ph.D. Candidate, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China. E-mail: [email protected]
Ping-an Zhong [email protected]
Professor, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China (corresponding author). E-mail: [email protected]
Ph.D. Candidate, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China. E-mail: [email protected]
Yun-fa Zhao [email protected]
Senior Engineer, China Three Gorges Corporation, Yichang 443133, China. E-mail: [email protected]

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