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Levee System Performance Using Future Risk Analysis Tools

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Abstract

Through policy, guidance and the use of current software, the U. S. Army Corps of Engineers (USACE) has defined a risk analysis process that can identify potential system-wide hydraulic impacts resulting from alterations to a system of levees. However, as was demonstrated through the Hydrologic Engineering Center's (CEIWR-HEC) study of the Sacramento River Flood Control Project (SRFCP), this current procedure can be difficult to follow and implement. Studies such as the SRFCP are being performed using the tool HEC-FDA (Flood Damage Reduction Analysis). Among other things, HEC-FDA develops project performance metrics for comparison of alternatives and levee certification and since 1996 has included the capabilities to perform risk analyses. However, even with these advanced capabilities, HEC-FDA still looks at a system of levees as a number of independent projects. This issue and others raised by the National Research Council, current users of HEC-FDA and CEIWR-HEC have clearly shown that an enhanced version of HEC-FDA needs to include explicit systems analysis capabilities. For this reason, CEIWR-HEC began the development of a new tool to analyze complex riverine systems while implementing the current flood risk analysis and systems requirements. This new tool, currently called HEC-WAT (Watershed Analysis Tool) along with its Flood Risk Management compute option, FRM, is the next generation of CEIWR-HEC's HEC-FDA model. HEC-WAT/FRM will include a systems approach, event-based sampling to enable system modeling, the ability to do scenario and alternative analyses, and will be used nationwide for levee certification, levee assessment, planning and design studies and advance the Corps modeling approach for risk analysis. An initial implementation of the HEC-WAT/FRM is being constructed for the Columbia River Treaty (CRT) 2014/2024 project. This paper will describe the HEC-WAT/FRM and how it will be used to address levee certification and assessment for the CRT study and how it will advance the Corps modeling approach for risk analysis.

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