Case Studies
Aug 18, 2012

Risk Assessment of Lake Flooding Considering Propagation of Uncertainty from Rainfall

Publication: Journal of Hydrologic Engineering
Volume 18, Issue 8

Abstract

Risk assessment of lake flooding is studied through uncertainty propagation of the rainstorm control model. The failure risks of insufficient drainage capacity are assessed using the classic reliability approach and time-dependent reliability approach separately. The rainstorm control model consists of three submodels: a design rainstorm model to determine design storm hyetograph, a rainfall-runoff model to generate inflow hydrograph of the lake, and a lake operation model to simulate the storage volume of lake. Monte Carlo simulation with stochastic rainfall is implemented to provide random input for the combined model. The effect of uncertainty propagation on the three submodels is examined. The developed methodology is demonstrated with a case study, and results reveal that it offers an appropriate technique to assess flooding risks and consider the effect of uncertainty propagation on urban storm water modeling in designing a new drainage plan.

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Acknowledgments

This research was funded by the National Natural Science Foundations of China (NSFC) (No. 51179130 and 51190094).

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Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 18Issue 8August 2013
Pages: 1041 - 1047

History

Received: Dec 1, 2011
Accepted: Aug 7, 2012
Published online: Aug 18, 2012
Discussion open until: Jan 18, 2013
Published in print: Aug 1, 2013

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Authors

Affiliations

Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China (corresponding author). E-mail: [email protected]
Associate Professor, State Key Laboratory of Pollution Control and Resources Reuse, Tongji Univ., Shanghai 200092, China. E-mail: [email protected]
Postdoctoral Fellow, Bureau of Economic Geology, Jackson School of Geosciences, Univ. of Texas, Austin, TX 78758. E-mail: [email protected]
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China. E-mail: [email protected]

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