Case Studies
Nov 20, 2012

Flood Routing Simulation and System Customization for a High-Leakage River Channel in China

Publication: Journal of Hydraulic Engineering
Volume 139, Issue 6

Abstract

Leakage is a major factor impacting the evolution of flood in a highly permeable river. By integrating a mathematical model with data provided by a monitoring database, a flood routing system was developed for the Dagu River in China. The aim of this study was to calculate the leakage discharge and to discuss the effect of leakage for flood modeling within a high-leakage riverbed. This system was implemented for application of a flood-diversion experiment in 2003, which accessed data automatically and used estimated coefficients to calculate leakage discharge. The results showed that simulated discharge values fit well with the measured values, with an average relative error less than 10%, and the leakage average relative error was approximately 2%. The infiltration experiments showed that the leakage coefficient could be treated as a constant when the dynamics in the initial phase of a short flood event was stimulated. The initial water level and leakage and roughness coefficients were the main factors required to accurately determine the discharge of river seepage.

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Acknowledgments

The project was financially supported by the 100 Talents Program of Chinese Academy of Sciences and the Municipal Bureau of Water Resources of Qingdao.

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Published In

Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 139Issue 6June 2013
Pages: 656 - 663

History

Received: Jul 25, 2011
Accepted: Nov 16, 2012
Published online: Nov 20, 2012
Published in print: Jun 1, 2013

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Authors

Affiliations

Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; and Graduate Univ. of Chinese Academy of Science, Beijing 100049, China. E-mail: [email protected]
Xilai Zheng [email protected]
Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean Univ. of China, Qingdao 266003, China. E-mail: [email protected]
Fadong Li, Ph.D. [email protected]
Professor, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China (corresponding author). E-mail: [email protected]
Shoubo Tian [email protected]
Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean Univ. of China, Qingdao 266003, China. E-mail: [email protected]
Guoqing Lin [email protected]
Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean Univ. of China, Qingdao 266003, China. E-mail: [email protected]

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