Dynamic Framework for Intelligent Control of River Flooding: Case Study
Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 2
Abstract
This paper presents a case study on the application of a dynamic framework for the intelligent control of flooding in the Boise River system in Idaho. This framework couples a robust and numerically efficient hydraulic routing approach with the popular multi-objective nondominated sorting genetic algorithm II (NSGA-II). The novelty of this framework is that it allows for controlled flooding when the conveyance capacity of the river system is exceeded or is about to exceed. Controlled flooding is based on weight factors assigned to each reach of the system, depending on the amount of damage that would occur, should a flood occur. For example, an urban setting would receive a higher weight factor than a rural or agricultural area. The weight factor for a reach does not need to be constant as it can be made a function of the flooding volume (or water stage) in the reach. The optimization algorithm minimizes flood damage by favoring low-weighted floodplain areas (e.g., rural areas) rather than high-weighted areas (e.g., urban areas) for the overbank flows. The proposed framework has the potential to improve water management and use of flood-prone areas in river systems, especially of those systems subjected to frequent flooding. This work is part of a long-term project that aims to develop a reservoir operation model that combines short-term objectives (e.g., flooding) and long-term objectives (e.g., hydropower, irrigation, water supply). The scope of this first paper is limited to the application of the proposed framework to flood control. Results for the Boise River system show a promising outcome in the application of this framework for flood control.
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Acknowledgments
The authors gratefully acknowledge the financial support of NSF Idaho EPSCoR Program and the National Science Foundation under award number EPS-0814387. A. S. L. would like to thank the financial support of the School of Civil and Construction Engineering at Oregon State University. A. S. L. would also like to thank Mrs. Carmen Bernedo of MWH Americas for providing insightful comments during the preparation of the paper. V. S. would like to acknowledge the partial support that came from NOAA through the Pacific Northwest Climate Impacts Research Consortium under award number NA10OAR4310218. Finally, the authors are indebted to the anonymous reviewers for their insight, constructive criticisms, and suggestions on an earlier version of the paper.
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© 2014 American Society of Civil Engineers.
History
Received: Nov 1, 2011
Accepted: Jul 26, 2012
Published online: Aug 17, 2012
Discussion open until: Jan 17, 2013
Published in print: Feb 1, 2014
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