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Session Proposal: Multi-Hazard Flood Modeling: From Inland to Coast (AGU25)

NH031
Multi-Hazard Flood Modeling: From Inland to Coast

Session ID#: 250101

Session Description:
Coastal watersheds are among the most populated regions worldwide, containing industries, transportation facilities, ports, tourism-driven economies, and dense urban developments. These regions are susceptible to natural hazards, such as extreme rainfall events, tropical cyclones, and storm surges, which are exacerbated by climate change and the compounding effects of multi-hazards. Current practices have started implementing multi-hazard modeling techniques for inundation and risk assessments. However, there are discrepancies regarding best practices when characterizing compound floods and the use of multi-hazard models from the federal, local, private, and academic sectors. This session will present state-of-the-art compound flood models that couple hydrologic and coastal processes. New modeling techniques and applications will be discussed that improve our ability to capture the complex interactions that characterize multiple flood hazards. This session should interest engineers and scientists within the coastal and hydrologic discipline, community planners, and floodplain managers.
Co-Sponsor(s):
  • EP - Earth and Planetary Surface Processes
  • H - Hydrology
Index Terms:

1817 Extreme events [HYDROLOGY]
1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]
4306 Multihazards [NATURAL HAZARDS]
Primary Convener:  Felix Luis Santiago-Collazo, University of Georgia, School of Environmental, Civil, Agriculture, and Mechanical Engineering, Athens, United States
Conveners:  David F Muñoz, Virginia Polytechnic Institute and State University, Civil & Environmental Engineering, Blacksburg, United States and Francisco Peña Guerra, Galt Group Inc., Wellington, United States
Student/Early Career Convener:  Avantika Gori, Rice University, Civil and Environmental Engineering, Houston, United States
 
Fast Riverine Flood Modeling with SFINCS: Case Studies in Texas, North Carolina and Washington State (1879075)
Kees Nederhoff1, Tim Leijnse2, Roel de Goede2, Maarten Van Ormondt2, Koen van Asselt2 and Ap Van Dongeren2, (1)Deltares USA, Silver Spring, United States, (2)Deltares, Delft, Netherlands
 
Evaluating the Role of Storm Characteristics, Sea-Level Rise, and Land Use Change on Compound Flood Impacts in Jackson County, Mississippi (1891163)
Matthew Weathers1, David Rounce1, Sadaf Mahmoudi1, Ioannis Y Georgiou2 and Martijn Bregman3, (1)Carnegie Mellon University, Civil and Environmental Engineering, Pittsburgh, United States, (2)The Water Institute, New Orleans, United States, (3)The Water Institute, Baton Rouge, United States
 
Generating Synthetic Storm Events for Compound Flood Modeling in a Tri-variate Probabilistic Framework (1892245)
Pravin Maduwantha Mahanthe Gamage1, Sara Santamaria-Aguilar1, Thomas Wahl1, Robert Jane2, Sönke Dangendorf3, Hanbeen Kim4 and Gabriele Villarini4, (1)University of Central Florida, Department of Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, Orlando, FL, United States, (2)University of Central Florida, Department of Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, Orlando, United States, (3)Tulane University, Department of River-Coastal Science & Engineering, New Orleans, United States, (4)Princeton University, Civil and Environmental Engineering & High Meadows Environmental Institute, Princeton, United States
 
Geospatial Frequency Analysis of Transition Zones in a Multi-watershed ADCIRC Model (1894591)
Kenton Wu1, Amin Kiaghadi2, Mark Loveland1, Shukai Cai1, Chayanon Wichitrnithed1, Eirik Valseth3, Clint Dawson1 and Yucheng Zhang1, (1)University of Texas at Austin, Oden Institute for Computational Engineering and Sciences, Austin, United States, (2)Texas Water Development Board, Coastal Science, Surface Water Division, Water Science & Conservation, Austin, United States, (3)The Norwegian University of Life Science, Department of Data Science, As, Norway
 
Understanding Climate-Driven Compound Flood Risk: The Role of Hurricane Evolution and Relative Sea-Level Rise in Hurricanes Harvey (2017) and Beryl (2024) (1913062)
Wonhyun Lee1, Alexander Y Sun2, Bridget R Scanlon3 and Ashraf Rateb3, (1)University of Texas at Austin, Austin, United States, (2)University of Texas at Austin, Bureau of Economic Geology, Austin, United States, (3)University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, TX, United States
 
Effectiveness of Prairie Restoration to Reduce Compound Flooding in the Lower Brazos River Basin, TX (1916365)
Madison Guerinot1, Avantika Gori2, True Furrh1, Philip B Bedient3 and Jim Blackburn1, (1)Rice University, Houston, United States, (2)Rice University, Civil and Environmental Engineering, Houston, United States, (3)Rice University, Civil and Environmental Engineering, Houston, TX, United States
 
Enhancing Coastal Flood Hazard Modeling with Synthetic Event Design (1917642)
Sadaf Mahmoudi1, David Rounce2 and Matthew Weathers1, (1)Carnegie Mellon University, Civil and Environmental Engineering, Pittsburgh, PA, United States, (2)Carnegie Mellon University, Civil and Environmental Engineering, Pittsburgh, United States
 
A Machine Learning Approach for Mapping Compound Inundation in Coastal Watersheds (1936608)
Orlando Viloria, University of Georgia, School of Environmental, Civil, Agricultural, and Mechanical Engineering, Athens, GA, United States and Felix Luis Santiago-Collazo, University of Georgia, Civil and Environmental Engineering, Athens, United States
 
Modeling Compound Flood Hazards in the Fraser River Estuary Using SFINCS: A Multi-Hazard Approach for Coastal British Columbia (1937605)
Tyler De Jong, Steven Weijs and Enda Murphy, University of British Columbia, Civil Engineering, Vancouver, BC, Canada
 
Standardizing Performance Evaluation for Compound Flooding: Challenges and Recommendations (1939631)
Maiesha Nujhat1,2, Hamed Moftakhari1,2, Faezeh Maghsoodifar1,2 and Hamid Moradkhani1,2, (1)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States, (2)The University of Alabama, Department of Civil, Construction, and Environmental Engineering, Tuscaloosa, United States
 
Evaluating Shifts in Riverine-Coastal Flood Transition Zones Under Changing Environmental Conditions (1953097)
Katherine Serafin, University of Florida, Department of Geography, Ft Walton Beach, FL, United States, Ally Recalde, University of Florida, Department of Geography, Gainesville, United States, Robert Jane, University of Central Florida, Department of Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, Orlando, United States, Tristan Carasella, University of Central Florida, Orlando, FL, United States and Thomas Wahl, Department of Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, University of Central Florida, Orlando, United States
 
Reducing the Coastal/Inland Divide, how USACE’s HEC and CHL are Working Together to Model Compound Flooding Hazards (1953649)
William Lehman, US Army Corps of Engineers, Jacksonville, FL, United States, Thomas C Massey, US Army Engineer Research and Development Center, Coastal & Hydraulics Laboratory, Vicksburg, United States, Gregory S. Karlovits, U.S. Army Corps of Engineers Hydrologic Engineering Center, Davis, United States and Meredith Carr, U.S. Army Engineer R&D Center, Coastal & Hydraulics Laboratory (ERDC-CHL), Vicksburg, United States
 
Statewide screening of the compound flood hazard (Invited) (1955817)
Robert Jane, University of Central Florida, Department of Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, Orlando, United States, Thomas Wahl, Department of Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, University of Central Florida, Orlando, United States and Gabriele Villarini, Princeton University, Civil and Environmental Engineering & High Meadows Environmental Institute, Princeton, United States
 
Multi-Driver Coastal Flood Hazard Mapping for India Using Indicator-Based Approach (1961264)
Sweta Singh, Indian Institute of Technology Bombay, Mumbai, India, Ankan Chakraborty, Indian Institute of Technology Bombay, Centre for Climate Studies, Mumbai, India, Ravi Ranjan, Indian Institute of Technology Bombay, Environmental Science and Engineering Department, Mumbai, India and Subhankar Karmakar, Indian Institute of Technology Bombay, Environmental Science and Engineering Department, Centre for Climate Studies, Mumbai, India
 
Tackling the Triple Threat: An Integrated Modeling Approach to Assess Compound Flood Risk in Coastal Cities (1967504)
Sami Shokrana, Massachusetts Institute of Technology, Center for Sustainability Science and Strategy, Cambridge, United States, Katerina Boukin, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States, Sai Ravela, Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences (EAPS), Cambridge, United States and Kenneth M Strzepek, Massachusetts Institute of Technology, Center for Sustainability Science and Strategy, Cambridge, MA, United States
 
Improving Compound Coastal Flood Forecasting with Graph-Based Deep Learning along the Southeast U.S. Coast (1969667)
Samrin Sauda, The Pennsylvania State University, Department of Geography, State College, United States and Manzhu Yu, Penn State University, State College, United States
 
Bivariate Design Storms Don’t Work: A theory-driven investigation and stylized case study (1970292)
Nathan Geldner, the Keep Firing Consultancy*, Seattle, United States
 
Probabilistic Flood Risk Assessment of Road Transportation Networks Under Coastal and Compound Flooding (1993798)
Pranavesh Panakkal, Arslaan Khalid and Muthukumar Narayanaswamy, The Water Institute, Baton Rouge, United States
 
Physics-Based Models for Simulation of Compound Flood Events: Navigating Consistency, Complexity, and Computational Demands (Invited) (1993946)
Muthukumar Narayanaswamy, The Water Institute, Baton Rouge, United States and Arslaan Khalid, Pranavesh Panakkal, Martijn Bregman, Luis Partida
See more of: Natural Hazards