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.
Get full access to this article
View all available purchase options and get full access to this article.
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.
References
Atiquzzaman, M., Liong, S., and Yu, X. (2006). “Alternative decision making in water distribution network with NSGA-II.” J. Water Resour. Plann. Manage., 122–126.
Bekele, E. G., and Nicklow, J. W. (2007). “Multi-objective automatic calibration of SWAT using NSGA-II.” J. Hydrol., 341(3–4), 165–176.
De Bruijn, K., Klijn, F., Mcgahey, C., Mens, M., and Wolfert, H. (2008). “Long-term strategies for flood risk management: Scenario definition and strategic alternative design.”, Delft Hydraulics, Delft, The Netherlands.
Delft Hydraulics. (2000). RIBASIM user’s manual and technical reference manual, Delft, The Netherlands.
Dorn, J. L., and Ranjithan, S. (2003). “Evolutionary multi-objective optimization in watershed water quality management.” Evolutionary multi-criteria optimization, Lecture Notes in Computer Science (LNCS), C. M. Fonseca, et al., eds., Vol. 2632, Springer, Berlin, 692–706.
Eichert, B. S., and Pabst, A. F. (1998). Generalized real-time flood control system model, U.S. Army Corps of Engineers, Davis, CA.
Hydrologic Engineering Center. (1996). “Developing seasonal and long-term reservoir system operation plans using HEC-PRM.”, U.S. Army Corps of Engineers, Davis, CA.
Hydrologic Engineering Center. (2003). Hydrologic Engineering Center’s prescriptive reservoir model, program description, U.S. Army Corps of Engineers, Davis, CA.
Jin, X., and Sridhar, V. (2012). “Impacts of climate change on hydrology and water resources in the boise and spokane river basins.” J. Am. Water Resour. Assoc., 48(2), 197–220.
Kim, T., Heo, J.-H., and Jeong, C.-S. (2006). “Multireservoir system optimization in the Han River basin using multi-objective genetic algorithms.” Hydrol. Process., 20(9), 2057–2075.
Lee, S.-Y., Hamlet, A. F., Fitzgerald, C. J., and Burges, S. J. (2009). “Optimized flood control in the Columbia River Basin for a global warming scenario.” J. Water Resour. Plann. Manage., 440–450.
Leon, A. S., and Kanashiro, E. A. (2010). “A new coupled optimization-hydraulic routing model for real-time operation of highly complex regulated river systems.” 2010 Watershed Management Conf.: Innovations in Watershed Management Under Land Use and Climate Change, ASCE, Reston, VA.
National Weather Service. (2009). “Flood losses: Compilation of flood loss statistics.” 〈http://www.weather.gov/hic/floodstats/Flood loss time series.shtml〉 (Nov. 08, 2013).
Ngo, L. L., Madsen, H., and Rosbjerg, D. (2007). “Simulation and optimization modelling approach for operation of the Hoa Binh reservoir, Vietnam.” J. Hydrol., 336(3–4), 269–281.
Reed, P. M., and Minsker, B. S. (2004). “Striking the balance: Long-term groundwater monitoring design for conflicting objectives.” J. Water Resour. Plann. Manage., 140–149.
Sridhar, V., and Nayak, A. (2010). “Implications of climate-driven variability and trends for the hydrologic assessment of the Reynolds Creek Experimental Watershed, Idaho.” J. Hydrol., 385(1–4), 183–202.
Stratton, B. T., Sridhar, V., Gribb, M. M., McNamara, J. P., and Narasimhan, B. (2009). “Modeling the spatially varying water balance processes in a semiarid mountainous watershed of Idaho.” J. Am. Water Resour. Assoc., 45(6), 1390–1408.
United Nations Environment Programme. (2003). “Taking it at the flood.” 〈http://www.unep.org/ourplanet/imgversn/141/shu.html〉 (Nov. 08, 2013).
Wei, C.-C., and Hsu, N.-S. (2008). “Multireservoir flood-control optimization with neural-based linear channel level routing under tidal effects.” Water Resour. Manage., 22(11), 1625–1647.
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 140 • Issue 2 • February 2014
Pages: 258 - 268
Copyright
© 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
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.