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A Dynamic Framework for Intelligent Control of River Flooding - A Case Study

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Title A Dynamic Framework for Intelligent Control of River Flooding - A Case Study
Names Leon, Arturo S. (creator)
Kanashiro, Elizabeth A. (creator)
Valverde, Rachelle (creator)
Sridhar, Venkataramana (creator)
Date Issued 2014-02 (iso8601)
Note This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the American Society of Civil Engineers and can be found at: http://ascelibrary.org/journal/jwrmd5.
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 Non-dominated
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 doesn’t 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 which aims
at developing 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.
Genre Article
Topic Flooding
Identifier Leon, A. S., Kanashiro, E. A., Valverde, R., & Sridhar, V. (2014). Dynamic Framework for Intelligent Control of River Flooding: Case Study. Journal of Water Resources Planning and Management, 140(2), 258-268. doi:10.1061/(ASCE)WR.1943-5452.0000260

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