H027
Advancing flood characterization, modeling and communication
Session ID#: 248196
Session Description:
Effective flood risk management requires a comprehensive characterization of flood hazards through improvements in computer modeling and prediction, an understanding of flood vulnerabilities and risks informed by stakeholders, and advances in decision-making systems that bear on infrastructure investments, early warning systems, community preparedness, and planning decisions. This session welcomes studies focusing on (1) innovative techniques (e.g. Machine Learning) to enhance understanding of flood characteristics (e.g. magnitude, timing, and extent); (2) studies that address limitations in real-time flood inundation modeling and design flood estimation (hydrologic and hydrodynamic models); (3) approaches to improve characterization of flood risks, considering physical and social vulnerabilities, (4) approaches and/or case studies where multi-dimensional flood metrics (e.g., economic, social, environmental) are developed and/or integrated into the planning and engineering design. (5) the impact of nonstationary stressors, and uncertainties related to flood predictions. Contributions can address various types of flooding, including coastal, fluvial, pluvial, and dam/levee break.
Index Terms:
1820 Floodplain dynamics [HYDROLOGY]
1860 Streamflow [HYDROLOGY]
4313 Extreme events [NATURAL HAZARDS]
4328 Risk [NATURAL HAZARDS]
Primary Convener: Keighobad Jafarzadegan, Oklahoma State University, Stillwater, United States
Conveners: Brett F Sanders, University of California Irvine, Irvine, CA, United States, Ebrahim Ahmadisharaf, Florida State University, Tallahassee, FL, United States and Stacey Archfield, U.S. Geological Survey, Reston, United States
Storm surge trends along the U.S. coastline and the role of tropical cyclones (Invited) (1881484)
Thomas Wahl, Department of Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, University of Central Florida, Orlando, United States, Joao Morim, University of Central Florida, Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, Orlando, United States, Francisco Calafat, University of the Balearic Islands, Palma de Mallorca, Spain, Pravin Maduwantha Mahanthe Gamage, University of Central Florida, Department of Civil, Environmental, and Construction Engineering & National Center for Integrated Coastal Research, Orlando, FL, United States, Sönke Dangendorf, Tulane University, Department of River-Coastal Science & Engineering, New Orleans, United States and Krishna Pratap Sah, University of Central Florida, Orlando, FL, United States
Advancing Flood Susceptibility Mapping Assessment Using Multi-Criteria Analysis and Machine Learning Models (1881762)
Muhammad Rashid, University of Bari Aldo Moro, Earth and Environmental Sciences, Bari, Italy, Mario Parise Sr, University of Bari Aldo Moro, Earth and Environmental Science, Bari, Italy, Saif Haider, Stevens Institute of Technology, Hoboken, NJ, USA, Civil, Environmental and Ocean Engineering, New Jersey, United States, Sadiq Ullah, University of Engineering and Technology, Lahore, Centre of Excellence in Water Resources Engineering, Lahore, Pakistan and Mario Parise, Saif Haider, Sadiq Ullah
Convolutional Neural Network Surrogate Modeling of Flood Inundation Predictions for the United States Operational Hydrological Forecasting Framework (1881860)
Supath Dhital1, Anupal Baruah1, Parvaneh Nikrou2 and Sagy Cohen3, (1)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (2)University of Alabama, Tuscaloosa, AL, United States, (3)The University of Alabama, Tuscaloosa, AL, United States
Rise of the Guadalupe River: A Multifaceted post-event Analysis of the July 2025 Texas Flood event (1885728)
Anupal Baruah1, Dinuke Munasinghe2, Sagy Cohen1, Dipsikha Devi1 and Yixian Chen1, (1)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (2)Department of Geography and Environment, University of Alabama, Tuscaloosa, United States
An Integrated Modeling Framework for Sediment Dynamics During Urban Flooding: Application to Hurricane Harvey in Houston (1887030)
Dongyu Feng1, Zeli Tan1, Donghui Xu1, Dr. Lingcheng Li, PhD1 and Gautam Bisht2, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, United States
Mapping Shifts in Future Flood Hazards Across the Conterminous United States: A Multi-Model, Regional L-Moment Approach (1892194)
Ganesh R Ghimire, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, Shih-Chieh Kao, Oak Ridge National Laboratory, Environmental Science Division, Oak Ridge, United States, Sudershan Gangrade, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Scott DeNeale, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, Mark Christian, Electric Power Research Institute, Palo Alto, United States and Brenda Brickhouse, Electric Power Research Institute, Chattanooga, United States
Characterizing Flood Inundation Dynamics During Rain-on-Snow Extremes (1893600)
Dalei Hao, Pacific Northwest National Laboratory, Atmospheric, Climate, & Earth Sciences Division, Richland, United States, Donghui Xu, Pacific Northwest National Laboratory, Richland, WA, United States and Gautam Bisht, Pacific Northwest National Laboratory, Richland, United States
Reimagining FEMA flood maps with an asset-level, CONUS-scale framework for design food risk estimation (1902064)
Soumya Guchhait1, Lalit Pal1, M. Sadegh Riasi2, Sayan Dey3, Lilit Yeghiazarian2 and Siddharth Saksena1, (1)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, United States, (2)University of Cincinnati, Chemical and Environmental Engineering, Cincinnati, United States, (3)Saint Louis University Main Campus, Department of Earth, Environmental and Geospatial Science, Saint Louis, United States
Influence of Storm Temporal Position on Critical Design Storm Hydrographs (1902242)
Dawit A Zeweldi1, James (Jim) Keith1, Katie Koch2 and James (Jim) Keith, (1)Freese and Nichols, Inc, Fort Worth, United States, (2)Freese and Nichols, Inc, New Orleans, United States
Compound Flooding in Tidal River Networks: A Joint Probability Approach with Climate Change Considerations (1913564)
Mahshid Ghanbari, CDM Smith, Denver, United States, Mark Maimone, CDM Smith, Philadelphia, United States and Sebastian Malter, CDM Smith, Edison, United States
Hydrodynamic Simulation and Validation of Coastal Flooding in Galveston County, Texas: 2008 Hurricane Ike Case Study and 100-Year Flood Map Development (1913769)
Md Shah Mominul Islam Momin1, Dr. Eunsang Cho, Ph.D.1, Eunsaem Cho2 and Subasish Das3, (1)Texas State University San Marcos, San Marcos, TX, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)Texas State University San Marcos, San Marcos, United States
An Interactive Web-Based Platform for 3D Flood Simulation in NYC Using HEC-RAS: Supporting Urban Vulnerability and Infrastructure Risk Analysis (1917425)
Noelle Law, Polytechnic School of New York University, Brooklyn, NY, United States, Matteo Benetti, University of Brescia, Brescia, Italy and Yuki Miura, Columbia University of New York, Civil Engineering and Engineering Mechanics, New York, United States
Comprehensive Probabilistic Assessment of Dam Breach and Flood Modeling in Data-Scarce Environments (1918639)
Ayman Mokhtar Nemnem, University of South Carolina Columbia, Columbia, SC, United States, Ege Kurter, University of South Carolina Columbia, Columbia, United States, Sadik Khan, Jackson State University, Civil and Environmental Engineering, Jackson, United States and Jasim Imran, Univ South Carolina, Department of Civil and Environmental Engineering, Columbia, United States
Projecting Compound Pluvial, Fluvial and Coastal Flood Inundation in Coastal Watersheds under Future Climate: The Importance of Wind and Value of 2D Rain-on-Grid Hydrodynamic Models (1924895)
Husnain Tansar1,2, Samiul Kaiser1,2 and Ebrahim Ahmadisharaf1,2, (1)Florida A&M University-Florida State University College of Engineering, Tallahassee, United States, (2)Resilient Infrastructure and Disaster Response Center, FAMU-FSU College of Engineering, Tallahassee, United States
Unsteady Flood Hydraulics and the Variability of the Stage-Inundation Relationship on Agricultural Floodplains in the East Fork White River, Indiana (1929163)
Sarah Leach1, Sadia Afrin Khan1, Muhammad Alif1, Jonathan A Czuba1 and Douglas A Edmonds2, (1)Virginia Polytechnic Institute and State University, Biological Systems Engineering, Blacksburg, United States, (2)Indiana University Bloomington, Department of Earth and Atmospheric Sciences, Bloomington, IN, United States
Anthropogenic and Climatic Drivers of Urban Flash Floods in Pakistan through a Geospatial AI Framework (1935793)
Sara Alian, Oklahoma State University, Stillwater, OK, UNITED STATES, Muhammad Umar Akbar, Oklahoma State University, Department of Biosystems and Agricultural Engineering, Stillwater, United States, Muhammad Farooq, Government College University Faisalabad, Department of Information and Technology, Faisalabad, Pakistan, Aimen Iqbal, Government College University, Faisalabad, Department of Computer Science, Faisalabad, Pakistan and Ali Mirchi, Oklahoma State University, Stillwater, OK, United States; Oklahoma State University, Biosystems and Agricultural Engineering, Stillwater, United States
Co-Development Approaches in Flood Risk Modeling: Comparative Lessons from Three Case Studies (1942323)
Larisa Lee1, Nina Davis1, Alison Rellinger2 and Renee Collini3, (1)Mississippi State University, Extension, Biloxi, United States, (2)Mississippi State University, Extension, Mississippi State, United States, (3)The Water Institute, Baton Rouge, United States
Assessing National Flood Interest through News Media Big Data and Explainable AI (1944051)
Eunmi Lee1, Youngwook You2, Younghun Jung3 and Jonghun Kam1, (1)Pohang University of Science and Technology, Division of Environmental Science and Engineering, Pohang, South Korea, (2)Kyungpook National University., Daegu, South Korea, (3)Kyungpook National University, Daegu, South Korea
Assessing Vulnerability and Flood Risk in Coastal Alabama, USA Using Remote Sensing and Climate Projections (1951912)
Abraham Alejandro Alvarez Reyna, Auburn University, Civil and Environmental Engineering, Auburn, United States, Frances C O'Donnell, Auburn University, Civil Engineering, Auburn, AL, United States, Ann Ojeda, Auburn University, Department of Geosciences, Auburn, United States and Caroline Beisher, Barnard College, New York, United States
Flash Flood Damage Duration Curves: A Multi-level Bayesian Approach to State-Level Analysis and Uncertainty Quantification (1954657)
Fatemeh Yavari, The City University of New York (CCNY), Civil Engineering, New York, United States, Mohamed Abdelkader, University of Iowa, IIHR—Hydroscience & Engineering, Iowa City, United States, Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States and Naresh Devineni
A Deep Learning Emulator for High-Resolution Rapid Flood Mapping (1961576)
Rehenuma Lazin1, Giuliana Pallotta2 and Celine Bonfils2, (1)Lawrence Livermore National Laboratory, Atmospheric, Earth, & Energy Division, Livermore, CA, United States, (2)Lawrence Livermore National Laboratory, Livermore, CA, United States
Unraveling Flash‑Flood Environments: An Ingredients-Based Examination of Heavy Rainfall Events (1963924)
Mary Grace Albright1, Erica Bower2, Marc Chenard3 and Mark Klein3, (1)University of Connecticut, Department of Earth Sciences, Storrs, United States, (2)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (3)NOAA, NWS Weather Prediction Center, College Park, United States
Controlled Levee Breach as a Method for Reducing Flood Stages (1967692)
Ege Kurter1, Ibrahim Adil Ibrahim Al-Hafidh2, Melih Calamak1, Hanif Chaudhry1 and Jasim Imran3, (1)University of South Carolina Columbia, Columbia, United States, (2)University of Mosul, Mosul, Iraq, (3)Univ South Carolina, Department of Civil and Environmental Engineering, Columbia, United States
Monte Carlo-Based Building Damage and Emission Functions for Assessing Flood Risks (1968735)
Sebastian Rowan1,2, Fei Han3, Rusty Permenter2 and Weiwei Mo4, (1)University of New Hampshire, Civil and Environmental Engineering, Durham, NH, United States, (2)US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States, (3)University of New Hampshire Main Campus, Civil and Environmental Engineering, Durham, United States, (4)University of New Hampshire, Civil and Environmental Engineering, Durham, United States
High-Resolution Asset-Level Flood Risk Modeling for Climate-Aware Infrastructure Planning (1973172)
Rezvane Ghorbani1, George Remias2, M. Sadegh Riasi3, Lalit Pal1, William Chilton4, Lilit Yeghiazarian3 and Siddharth Saksena1, (1)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, United States, (2)Northeast Ohio Regional Sewer District, Strategic support, Cleveland, United States, (3)University of Cincinnati, Chemical and Environmental Engineering, Cincinnati, United States, (4)Virginia Polytechnic Institute and State University, Geosciences, Blacksburg, United States
Community-level Spatiotemporal Flooding Emulation using Convolutional and Recurrent Neural Networks (1983536)
Liuyun Xu, University of Michigan Ann Arbor, Department of Civil and Environmental Engineering, Ann Arbor, MI, United States, Sejin Kim, Chungbuk National University, School of Civil Engineering, Cheongju, South Korea and Seymour Spence, University of Michigan Ann Arbor, Department of Civil and Environmental Engineering, Ann Arbor, United States
Predicting Future Flood Vulnerability Zones in Texas Using Explainable GeoAI: A Deep Learning Framework for Long-Term Risk Assessment and Emergency Preparedness (1990549)
Mahir Shahrier, MSc student, Independent University, Bangladesh, Environmental Science and Management, Dhaka, Bangladesh, Abdulla Al Kafy, University of Texas at Austin, Geography and Environment, Austin, United States and Mirza Md Tasnim Mukarram, Phd Student, School of Earth, Environment and Sustainability, Iowa City, United States
Streamlining Calibration in Spatially Resolved Event-Based Hydrologic Modeling: A Parsimonious Two-Layer Curve Number Framework (1991158)
Chrysanthos Farmakis, University of Central Florida, Civil, Environmental and Construction Engineering, Orlando, United States, Andreas Langousis, University of Patras, Civil Engineering, Patras, Greece, Emmanouil N Anagnostou, Professor, Civil and Environmental Engineering, Storrs, United States and Stergios Emmanouil, University of Connecticut, Civil and Environmental Engineering, Storrs, United States
Transforming National Flood Assessment Through Scalable Probabilistic Modeling of Gaged and Ungaged Watersheds (1993945)
Keil Jason Neff, USACE, Risk Management Center, Lakewood, United States, Christina Lindemer, FEMA, Risk Management Directorate, Washington, United States and William Lehman, U.S. Army Corps of Engineers, West Sacramento, United States
