NH33B:
Integrated Flood Modeling eLightning


Submit an Abstract to this Session


Session ID#: 52085

Session Description:
Flooding often occurs due to multiple physical processes and management decisions on varying space and time scales, creating the need for integrated flood models. Model integration can indicate combining different physical processes such as coastal and wave dynamics, rainfall and surface runoff, river discharges, urban drainage, groundwater and sewer networks; or it can include physical interaction with socio-economic and management systems. These processes can occur over varied space and timescales making model integration challenging. However, improving flood modeling and disaster planning requires the use of integrated models and is becoming the new standard. This session will present relevant examples of integrated flood modeling to understand how the integration of the different processes furthers our understanding of flood events and hazard risks. As a truly interdisciplinary session, it will underscore the emergent nature of insights gained by coupling and co-developing flood models that can represent multiple physical processes and/or social systems.
Primary Convener:  Liv Herdman, USGS New York Water Science Center, Coram, NY, United States
Conveners:  Jungho Kim, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States and Joseph Francis Kanney, Nuclear Regulatory Commission, Washington, MD, United States
Primary Liaison:  Liv Herdman, USGS New York Water Science Center, Coram, NY, United States
Chairs:  Liv Herdman, USGS New York Water Science Center, Coram, NY, United States and Jungho Kim, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
OSPA Liaison:  Joseph Francis Kanney, Nuclear Regulatory Commission, Washington, MD, United States

Cross-Listed:
  • H - Hydrology
  • OS - Ocean Sciences
Index Terms:

4303 Hydrological [NATURAL HAZARDS]
4306 Multihazards [NATURAL HAZARDS]
4316 Physical modeling [NATURAL HAZARDS]
4319 Spatial modeling [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Nonstationary extreme value models for assessing flood risk at seasonal and multidecadal time scales in U.S. National Parks (421193)
Peter Van Dusen, University of Colorado Boulder, Boulder, CO, United States, Balaji Rajagopalan, University of Colorado at Boulder, Department of Civil, Environmental and Architectural Engineering and CIRES, Boulder, United States, David Lawrence, Natural Resource Stewardship and Science Directorate, National Park Service, Fort Collins, CO, United States, Laura E Condon, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Gary Smillie, Natural Resource Stewardship and Science Directorate, National Park Service, Fort Collins, United States, Subhrendu Gangopadhyay, Department of Interior, Denver, United States and Tom Pruitt, U.S. Bureau of Reclamation, Denver, CO, United States
Coastal and Fluvial Integrated Flood Forecast Modeling: A Case Study in South San Francisco Bay (371606)
Liv Herdman1, Rosanne Martyr2, Li H Erikson3 and Patrick Barnard3, (1)USGS New York Water Science Center, Coram, NY, United States, (2)US Geological Survey, Menlo Park, CA, United States, (3)USGS Pacific Coastal and Marine Science Center Santa Cruz, Santa Cruz, United States
An Integrated Hydrologic-Hydraulic Flood Forecast System for the Tidal Potomac River in the National Capital Region: Prospects and Challenges (421813)
Selina Jahan Sumi1, Celso Ferreira2 and Arslaan Khalid1, (1)George Mason University Fairfax, Fairfax, VA, United States, (2)George Mason University, Sid and Reva Dewberry Department of Civil, Environmental and Infrastructure Engineering, Fairfax, United States
Flood Simulation by Coupling a Hydrodynamic Model with a Hydrological Model (389847)
Hongbin Zhang, Beijing, China, Qiuhua Liang, Loughborough University, School of Architecture, Building and Civil Engineering, Loughborough, United Kingdom and Jianming Ma, China Institute of Water Resources and Hydropower Research, Beijing, China
Econometric panel approaches to isolating the causal impact of impervious cover on annual peak floods (Invited) (352698)
Annalise Blum, Johns Hopkins University, Baltimore, MD, United States, Paul Ferraro, Johns Hopkins University, Balitmore, United States, Karen R Ryberg, USGS Dakota Water Science Center, Bismarck, ND, United States and Stacey A Archfield, US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States
Investigation of flood modeling and inundation mapping techniques for Hurricane Harvey using the WRF-Hydro modeling framework (451368)
Laura K Read, Upstream Tech, Denver, United States, Herbert E Longenecker III, FEMA, Washington, DC, United States, Kevin Michael Sampson, Airborne Snow Observatories, Inc., Boulder, United States, David Gochis, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States and Fernando Renzo Salas, NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States
Development of a multi-scale observation product for damage assessment during flood emergencies. (464771)
Elena Sava, Pennsylvania State University Main Campus, University Park, PA, United States and Guido Cervone, Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States
Potential Improvement in Flood Frequency Analysis in Nonstationary Conditions in the Conterminous United States (447146)
Vahid Rahmani, Kansas State University, Biological and Agricultural Engineering, Manhattan, KS, United States and Rouzbeh Berton, Stantec Consulting Ltd, Hydrology and Hydraulics, Denver, United States
Determination of a flooding rate using GIS and water-rise simulations in a LiDAR bare-earth model Paul Weinstein, & Antonios E. Marsellos (444777)
Paul Solnik Weinstein, Hofstra University, Hempstead, NY, United States and Antonios E. Marsellos, Hofstra University, Geology, Environment, and Sustainability, Hempstead, United States
An innovative framework for high resolution quantitative assessment of flood resiliency of communities (465584)
Mohammad Hosein Motamedi1, Rouzbeh Nazari1 and MD Golam Rabbani H Fahad2, (1)Rowan University, Glassboro, NJ, United States, (2)Rowan University, Glassboro, United States

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