SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Dynamic framework for intelligent control of river flooding: Case study 
Authors:Leon, A.S., A. Kanashiro, R. Valverde and V. Sridhar 
Journal:Journal of Water Resources Planning and Management 
Volume (Issue):140(2) 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:flood impacts and/or processes 
Secondary Application Category:climate change 
Watershed Description:Boise River (drainage area covers 10,619 km^2 in southeastern Idaho) in Idaho, U.S. 
Calibration Summary: 
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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 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. 
Keywords:Flooding; Genetic Algorithms; Hydraulic routing; Multi-objective Optimization; Real-time control; Regulated river systems; River management; River operation