NH020
From Physics to Policy: Using Natural Hazard Science to Inform Flood Risk Planning

Session ID#: 79310

Session Description:
Floods are devastating natural disasters, causing loss of life and billions of dollars in damages annually. Future flood risk is expected to increase with climate change and will be exacerbated by shifts in population and socio-economic growth. As a result, decision-makers are pressured to respond to the increasing risk by implementing flood adaptation management strategies. The scientific community provides critical information to support these decision-makers; from hydrodynamic flood modeling, to impact assessments of potential damage, to economic evaluations of the costs and benefits of adaptation (-pathways), to the dynamics of human behavior that influence adoption of different types of flood management strategies. The session is dedicated to research that focuses on one (or more) of the components in the path from flooding physics to policy at both regional and/or global scales. Studies that integrate science with policy decision-making or developed multidisciplinary scientific assessments are of particular interest.
Index Terms:

1821 Floods [HYDROLOGY]
1880 Water management [HYDROLOGY]
4328 Risk [NATURAL HAZARDS]
4336 Economic impacts of disasters [NATURAL HAZARDS]

Primary Convener:  Lars T. de Ruig, VU University Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, Netherlands
Conveners:  Juliette Finzi Hart1, Timothy Tiggeloven2 and Jeroen Aerts2, (1)U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA, United States(2)VU University Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, Netherlands
Primary Liaison:  Lars T. de Ruig, VU University Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, Netherlands
 
An evaluation of reforms of the National Flood Insurance Program to cope with trends in flood risk: An Agent-Based modelling approach (488487)
Lars T. de Ruig, Toon Haer, Wouter Botzen and Jeroen Aerts, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
 
Prediction of flood-health vulnerability and risk to support pre-disaster management in Peru (503651)
Donghoon Lee, University of Wisconsin Madison, Madison, WI, United States, Juan Bazo, Red Cross Climate Centre, The Hague, Netherlands and Paul J Block, University of Wisconsin Madison, Department of Civil and Environmental Engineering, Madison, WI, United States
 
Establishment of Real-time Flood Prediction System by Data-Driven Model with X-band Radar (504699)
Han Kun-Yun1, Hyun Il Kim2, Jae Yeong Lee2 and Beom-Jin KIM3, (1)Kyungpook National University, Professor, Daegu, South Korea, (2)Kyungpook National University, Civil Engineering, Daegu, South Korea, (3)Kyungpook National University, Daegu, South Korea
 
Estimation of Potential Inundation Risk and Evacuation Time based on Inundation Simulations by Using Rainfalls with Multiple Return Periods (505473)
Kenji Taniguchi1, Noriyasu Nakade1, Kaiko Kotone1 and Yoshihiro Shibuo2, (1)Kanazawa University, Kanazawa, Japan, (2)The University of Tokyo, Tokyo, Japan
 
Assessment of Residual Risk due to Levee Breach and Levee Effect (505632)
Claudia D'Angelo, Elena Volpi and Aldo Fiori, Roma TRE University, Department of Engineering, Rome, Italy
 
How high to elevate a building to manage deeply uncertain riverine flood risks? (508417)
Mahkameh Zarekarizi, Pennsylvania State University Main Campus, University Park, PA, United States and Klaus Keller, Pennsylvania State University, Geosciences, University Park, PA, United States
 
Assessing Long-term Effects of Multiple Flood Risk Management Strategies under Climate Change Scenarios: Case Study in Bago River Basin, Myanmar (514493)
Chinami Yamagami, Univ. of Tokyo, Civil Engineering Department, Tokyo, Japan and Akiyuki Kawasaki, University of Tokyo, Department of Civil Engineering, Tokyo, Japan
 
Potential use of Subsidence Rates Determined From GPS-Based Height Modernization Measurements of NGS Benchmarks in Southeast Texas for Flood Risk Planning (560261)
Joseph M Kruger, Lamar University, Beaumont, TX, United States
 
Characterizing the Uncertainty and Feasibility of Generating Nationwide Probabilistic Flood Depths for Risk Planning (565871)
Jordan Nichole Burns1, Doug Bausch1, Dave Judi2, James Raines1 and Cynthia L Rakowski2, (1)Federal Emergency Management Agency, Washington, D.C., United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States
 
Study on a nested hydrological model for the Chao Phraya River (568592)
Yosuke Nakamura1, Mamoru Miyamoto1, Anurak Sriariyawat2 and Supattra Visessri2, (1)Public Works Research Institute, International Centre for Water Hazard and Risk Management, Tsukuba, Japan, (2)Chulalongkorn University, Department of Water Resources Engineering, Faculty of Engineering, Bangkok, Thailand
 
Centennial Overview: Form Science to Policy: Past, Present and Future of Regulatory Flood Maps in the US, Canada (Quebec) and France (573796)
Anna Serra-Llobet, University of California Berkeley, Berkeley, CA, United States, Rémy Tourment, IRSTEA, Aix-en-Provence, France, Antonin Montané, CEREG, Gémenos, France and Thomas K Buffin-Belanger, Univ Du Quebec Rimouski, Rimouski, QC, Canada
 
Linking Statistical and Hydrodynamic Modeling to Map and Communicate Compound Coastal Flood Hazards (611459)
Brett F Sanders1, Hamed Moftakhari2, Jochen E Schubert3, Amir AghaKouchak4 and Richard Matthew3, (1)University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States, (2)University of Alabama, Civil, Construction and Environmental Eng, Tuscaloosa, AL, United States, (3)University of California Irvine, Irvine, CA, United States, (4)University of California, Irvine, Civil and Environmental Engineering, Irvine, CA, United States
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