H053:
Floodplain representation in hydrologic flood forecasting using high-resolution modeling framework



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Session ID#: 27337

Session Description:
Numerical models of flood inundation are powerful tools to aid flood risk management.  Advances in modeling systems that can demarcate local flood boundaries dynamically could help flood-prone communities prepare for and even prevent from catastrophic events. Recent advances in numerical techniques along with remotely sensed data gathering have enabled flood forecasting models to include i) topographic spatial/temporal variability, ii) complex structural elements and iii) two-dimensional treatment of flow hydraulics. However, systematic resolving of complex human-made and natural features leads to an increased computational challenges, operational constraints, and topographic and bathymetric data limitations.

In this session, we pay particular attention to the representation of floodplain boundaries for variable flow conditions generated either from high-resolution models and/or observations utilizing recent advancement in high-speed computation resources with improved representation of the physical processes through multi-parameterization.

Primary Convener:  Chandana Gangodagamage, National Oceanic and Atmospheric Administration (NOAA), National Water Center (NWC), Interdisciplinary Science and Engineering Division, Tuscaloosa, AL, United States; Los Alamos National Laboratory, Los Alamos, NM, United States
Convener:  Noel R Aloysius, Ohio State University Main Campus, Columbus, OH, United States
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1817 Extreme events [HYDROLOGY]
1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]

Abstracts Submitted to this Session:

María Teresa Contreras Vargas, University of Notre Dame, Department of Civil & Environmental Engineering & Earth Sciences, South Bend, IN, United States, Cristian R Escauriaza, Centro de Desarrollo Urbano Sustentable, Santiago, Chile and Joannes J Westerink, Univ Notre Dame, Notre Dame, IN, United States

See more of: Hydrology