H058
Global Floods: Forecasting, Monitoring, Risk Assessment, and Socioeconomic Response

Session ID#: 158690

Session Description:
The increase in the frequency of flood events due to acceleration of the global water cycle induces more risks to human settlements, especially those on floodplains, in an era of rapid population growth. Monitoring and forecasting of the occurrence, intensity, and evolution of flood events have been critical for many humanitarian and government agencies in their efforts to prepare, mitigate, and manage responses to disaster to save lives and limit damage. Risk assessments prior to events are also vital for developing short-term and long-term management plans.

 

This session aims to contribute to the mission of the Global Flood Partnership (GFP), i.e. to foster global flood forecasting, monitoring and impact assessment to strengthen preparedness and response and to reduce global flood disaster losses. We solicit contributions from modeling and remote sensing, socioeconomic sciences, hazard response, and preparedness fields that study flood hazards and risks across spatial scales.

Co-Organized:
  • NH - Natural Hazards
Co-Sponsor(s):
  • AMS: American Meteorological Society -
  • EGU: European Geosciences Union -
Index Terms:

1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
4342 Emergency management [NATURAL HAZARDS]


Primary Convener:  Huan Wu, University of Maryland College Park, Earth System Science Interdisciplinary Center, College Park, MD, United States; Sun Yat-Sen University, School of Atmospheric Sciences, Zhuhai, China
Conveners:  Philip Ward, IVM - VU University Amsterdam, Amsterdam, Netherlands, Albert Kettner, University of Colorado Boulder, INSTAAR, Boulder, CO, United States and Sagy Cohen, University of Alabama, Geography, Tuscaloosa, United States
 
Derive seamless topographic and bathymetric data around Caribbean Sea countries (1051806)
Yuepeng Li1, Cody Fritz2, Ethan Gibney2, Peng Hou3 and Qiang Chen Dr3, (1)Florida International University, Miami, FL, United States, (2)NOAA, Miami, United States, (3)Florida International University, IHRC, Miami, United States
 
Geotechnical and geophysical investigations of river-infrastructure interaction in response to the 2021 Ahr Valley flood (1052324)
Michael Gardner1, Nina Stark2, Anne Lemnitzer3, Nick Brilli4, Elliot Nichols5, Michael Grilliot6, Jaqueline Zdebski6, Jeremias Mueller7 and Michael George8, (1)University of Nevada Reno, Department of Geological Sciences and Engineering, Reno, NV, United States, (2)Virginia Polytechnic Institute and State University, Blacksburg, United States, (3)University of California Irvine, Department of Civil and Environmental Engineering, Irvine, United States, (4)Virginia Tech, Blacksburg, United States, (5)Georgia Institute of Technology, Atlanta, United States, (6)University of Washington, NSF NHERI RAPID Experimental Facility, Seattle, United States, (7)TU Bergakademie Freiberg, Freiberg, Germany, (8)BGC Engineering Inc., Golden, United States
 
Predicting Flood Insurance Claims for Future U.S. Midwest Flood Events (1071905)
Lily Kraft, University of Iowa, Iowa City, IA, United States, Gabriele Villarini, University of Iowa, IIHR—Hydroscience & Engineering, Iowa City, IA, United States and Dale Zimmerman, University of Iowa, Statistics and Actuarial Science, Iowa City, United States
 
Simulating flood events at daily time step in the global hydrological model Xanthos using an event-scale runoff generation module (1072682)
Yuanqi Hong1, Guta Wakbulcho Abeshu1, Hong-Yi Li2, Thomas Bernard Wild3 and Mengqi Zhao4, (1)University of Houston, Houston, United States, (2)University of Houston, Houston, TX, United States, (3)Joint Global Change Research Institute, College Park, United States, (4)Pacific Northwest National Laboratory, Richland, United States
 
A Comprehensive Block-Level Socio-Economic-Infrastructural Vulnerability Assessment of Natural Hazards over the Conterminous US (1079822)
Farnaz Yarveysi1, Atieh Alipour1, Hamed Moftakhari2 and Hamid Moradkhani2, (1)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, AL, United States, (2)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States
 
Multi-Scenario Flood Risk Assessment: A Case of Sagar Island, West Bengal, India (1080433)
Praneta Nadupalli, Aishwarya Narendr and Bharath Haridas Aithal, Indian Institute of Technology Kharagpur, Ranbir and Chitra Gupta School of Infrastructure Design and Management, Kharagpur, India
 
Flood Peak Attenuation through Actively Managed Distributed Storage in Small Watersheds (1088786)
Riley Post, University of Iowa, Iowa City, IA, United States and Witold F Krajewski, University of Iowa, Iowa City, United States
 
Medium-Range GEFS-based Hydrologic Forecasts over Afghanistan (1089081)
Abheera Hazra1, Kimberly Slinski2, Md Shahriar Pervez3, Jossy P Jacob4, Daniel P Sarmiento5, Weston Anderson6, Amy McNally7, Kristi R Arsenault8, Augusto Getirana9, Sujay V Kumar9 and Christa D Peters-Lidard10, (1)NASA Goddard Space Flight Center, Hydrologic Sciences Laboratory, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, CO, United States, (3)ASRC Federal Data Solutions, Contractor to USGS EROS, Beltsville, SD, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (6)NASA Goddard Space Flight Center, Hydrologic Sciences Laboratory, Greenbelt, United States, (7)US Agency for International Development, Falls Church, United States, (8)SAIC, Greenbelt, MD, United States, (9)NASA Goddard Space Flight Center, Greenbelt, United States, (10)NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Hydrological impacts of climate change: A comprehensive global analysis based on downscaled CMIP6 climate projections (1089857)
Solomon Gebrechorkos1, Julian Leyland2 and Steve E Darby2, (1)University of Southampton, Geography and Environment, Southampton, United Kingdom, (2)University of Southampton, Southampton, United Kingdom
 
A Study On Applicability Of Flood Risk Maps For Flood Risk Assessment (1102092)
Yu Jin Kang1, Won-joon Wang2, Lee Haneul1, Soojun Kim3 and Hung Soo Kim1, (1)Inha University, Incheon, Korea, Republic of (South), (2)Inha university, Incheon, South Korea, (3)Inha University, Incheon, South Korea
 
Disaster Risk Assessment of Land Subsidence Areas under Climate Change: The Case of Choushui Alluvial Fan (1102989)
Rong-Yu Chen, Douliu, Taiwan, VATICAN, Hong-Ru Lin, National Yunlin University of Science and Technology, Graduate School of Engineering Science and Technology, Douliou, Taiwan and Jet-Chau Wen, National Yunlin University, Touliu Yulin, Taiwan
 
Earth observation to track flood recovery and adaptation: a survey of expert and practitioner insights and a systematic literature review (1107572)
Beth Tellman1, Hannah Friedrich2, Adriana A. Zuniga-Teran3, Laura Bakkensen4, Eleonora M. Demaria5, Neha Gupta6, Caitlyn A Hall7, Ben McMahan8, Alexander Saunders3, Jonathan Sullivan9, Shanna N. McClain10, Narayan Gyawali11 and Max Cawley12, (1)University of Arizona, School of Geography, Development and Environment, Tucson, AZ, United States, (2)University of Arizona, Tucson, AZ, United States, (3)University of Arizona, Tucson, United States, (4)University of Arizona, School of Government and Public Policy, Tucson, AZ, United States, (5)Pima County Regional Flood Control District, Tucson, United States, (6)University of Arizona, Arizona Institute for Resilient Environments and Societies, Tucson, United States, (7)Arizona State University, Tempe, AZ, United States, (8)University of Arizona, Arizona Institutes for Resilience, Tucson, AZ, United States, (9)University of Arizona, School of Geography, Development & Environment, Tucson, United States, (10)NASA Headquarters, Applied Sciences, Washington, DC, United States, (11)Lutheran World Service, Kathmandu, Nepal, (12)Museum of Life and Science, Durham, NC, United States
 
Exploring Non-structural Flood Mitigation Solutions at Community-level: Middle Cedar Case Study (1109577)
Enes Yildirim1, Yazeed Alabbad2 and Ibrahim Demir1, (1)University of Iowa, Iowa City, United States, (2)University of Iowa, Iowa City, IA, United States
 
FLOOD HAZARD MAPPING: A CASE STUDY OF TANA RIVER WATERSHED, KENYA (1110159)
Lucy Chepkochei, Regional Centre for Mapping of Resources for Development, Nairobi, Kenya
 
Multi-Scale Flood and Governance for Risk and Resilient Assessments in India: A Framework. (1121776)
Jagriti Jain1, Francisco Munoz-Arriola2, Deepak Khare1, Hasnat Aslam3 and Arup Kumar Sarma4, (1)Indian Institute of Technology Roorkee, Roorkee, India, (2)Department of Biological Systems Engineering & School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States, (3)School of Natural Resource, University of Nebraska-Lincoln, Lincoln, NE 68583, United States, (4)Indian Institute of Technology Guwahati, Department of Civil Engineering, Guwahati, India
 
A Web-based Analytical Urban Flood Damage and Loss Estimation System (1126137)
Yazeed Alabbad, University of Iowa, Iowa City, IA, United States and Ibrahim Demir, University of Iowa, Iowa City, United States
 
Flood risk assessment in croplands using a combination of remote sensing and hydrodynamic models: Case study of Mississippi river (1126223)
Amirmoez Jamaat, Oveys Zia and Ammar Safaie, Sharif University of Technology, Civil and Environmental Engineering Department, Tehran, Iran
 
Using Satellite-Observed Inundation for Socio-economic Assessments of Flood Impacts in the United States (1132630)
Jonathan Sullivan, University of Arizona, School of Geography, Development & Environment, Tucson, United States and Robbie M Parks, Columbia University, Department of Environmental Health Sciences, Mailman School of Public Health, New York, United States
 
A Framework for Benchmarking Global Flood Models (1133451)
Xudong Zhou1, Menaka Revel1, Prakat Modi2 and Dai Yamazaki1, (1)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan, (2)The University of Tokyo, Department of Civil Engineering, Bunkyo-ku, Japan
 
Flood Defense Standard Estimation Using Machine Learning and Its Representation in Large-Scale Flood Hazard Modeling (1136318)
Gang Zhao1,2, Paul D Bates1, Jeffrey C Neal1 and Dai Yamazaki2, (1)University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, (2)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
 
Towards high-resolution flood monitoring at daily scale: fusing Suomi-NPP/VIIRS and Sentinel-1 SAR based inundation maps by adversarial learning (1136974)
Qing Yang1,2, Xinyi Shen1,2, Qingyuan Zhang3,4, Baoxiang Pan5 and Sean Helfrich4, (1)University of Wisconsin Milwaukee, School of Fresh Water Science, Milwaukee, United States, (2)University of Connecticut, Civil and Environmental Engineering, Storrs, United States, (3)University of Maryland, Earth System Science Interdisciplinary Center, College Park, United States, (4)NESDIS, NOAA, Center for Satellite Applications and Research, College Park, United States, (5)Lawrence Livermore National Laboratory, Livermore, CA, United States
 
The Human Impact of Floods in India: What, Where, and Why? (1138358)
Apoorva Singh and Dhanya C.T, Indian Institute of Technology Delhi, Civil Engineering, New Delhi, India
 
Development of flood damage function model for rural roads: A case study in the Teesta River Basin, Bangladesh (1140087)
Shammi Haque1, Koji Ikeuchi1, Akiyuki Kawasaki2 and Masashi Minamide1, (1)The University of Tokyo, Department of Civil Engineering, Tokyo, Japan, (2)The University of Tokyo, Center for Global Commons, Institute for Future Initiatives, Tokyo, Japan
 
Implementing flood protection schemes in a global river model (1142088)
Dai Yamazaki1, Risa Hanazaki2, Kei Yoshimura3, Mizuki Funato2, Megumi Watanabe4, Gang Zhao5 and Xudong Zhou6, (1)University of Tokyo, Bunkyo-ku, Japan, (2)University of Tokyo, Tokyo, Japan, (3)The University of Tokyo, Institute of Industrial Science, Kashiwa, Japan, (4)The University of Tokyo, Tokyo, Japan, (5)University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, (6)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
 
Enhancing flood resilience of Patna city through Comprehensive Urban Flood Risk Assessment using Multi-Criteria Decision Analysis (MCDA) (1142984)
Ahmad Rashiq1, Om Prakash1, Atul Kumar2 and Shikha Puri2, (1)Indian Institute of Technology Patna, Bihta, India, (2)Indian Institute of Technology Roorkee, Roorkee, India
 
Risk assessment and mitigation strategies for future flooding in India (1145920)
Arushi Arnav, Indian Institute of Technology Gandhinagar, Ahmedabad, 382, India and Vimal Mishra, Indian Institute of Technology Gandhinagar, Department of Civil Engineering, Ahmedabad, India
 
Past Flood Characteristics of Mpologoma River Basin, in Eastern Uganda (1150522)
Loyce Kukunda and Jamiat Nanteza, Makerere University, Kampala, Uganda
 
A Comparison of SWAT and Artificial Neural Network Models for Streamflow Simulation in a Data-Scarce Region. (1154490)
Alvee Bin Hannan1, Wasif Bin Mamoon2 and Nasreen Jahan1, (1)Bangladesh University of Engineering and Technology, Water Resources Engineering, Dhaka, Bangladesh, (2)Marquette University, Department of Civil, Construction and Environmental Engineering, Milwaukee, United States
 
Generating Flood Hazard Risk Mapping for Lower Kelani River Basin, Sri Lanka (1155269)
Betul Aslantas, IHE Delft Institute for Water Education, Water Science and Engineering, Delft, Netherlands, Upaka Rathnayake, Sri Lanka Institute of Information Technology, Department of Civil Engineering, Malabe, Sri Lanka and Jayanga Samarasinghe, University of Texas at El Paso, Department of Earth, Environmental and Resource Sciences, El Paso, United States
 
Characterizing the nature of flood-producing storms in West Africa (1158756)
Youtong Rong, University of Bristol, Bristol, United Kingdom, France Gerard, Centre for Ecology & Hydrology, Earth Observation, Wallingford, United Kingdom, Doug Clark, NERC Centre for Ecology and Hydrology, Wallingford, United Kingdom and Christopher Taylor, UK Centre for Ecology & Hydrology, Wallingford, United Kingdom
 
Divergent Floodplain Urbanization Patterns and Risks with Levee Effect (1161959)
Meng Ding1, Peirong Lin2, Shang Gao3, Jida Wang1, Zhenzhong Zeng4, Xiaogang He5, Xudong Zhou6, Dai Yamazaki6, Kaihao Zheng2, Yu Liu2 and Yige Gao7, (1)Kansas State University, Geography and Geospatial Sciences, Manhattan, KS, United States, (2)Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing, China, (3)University of Oklahoma, School of Civil Engineering and Environmental Science, Norman, United States, (4)Southern University of Science and Technology, Shenzhen, China, (5)National University of Singapore, Civil and Environmental Engineering, Singapore, Singapore, (6)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan, (7)Gwinnett County Department of Water Resources, Atlanta, GA, United States
 
Mapping Floods from Sentinel-1 Synthetic Aperture Radar using Machine Learning (1165517)
Apoorva R Shastry, Universities Space Research Association Moffett Field, Moffett Field, United States; USGS, Geology, Minerals, Energy and Geophysics Science Center, Moffett Field, CA, United States, Brian Coltin, NASA Ames Research Center, Moffett Field, United States, Scott McMichael, NASA Ames Research Center, Moffett Field, CA, United States and Jack Eggleston, U.S. Geological Survey, Hydrologic Remote Sensing Branch, Leetown, WV, United States
 
Freeboard Life-Cycle Benefit-Cost Analysis of a Rental Single-family Residence (1166260)
Rubayet Bin Mostafiz1, Carol J Friedland2, Md Adilur Rahim3, Ehab Gnan4, Robert V Rohli1 and Ayat Salah Al Assi5, (1)Louisiana State University, Oceanography and Coastal Sciences, Baton Rouge, LA, United States, (2)Louisiana State University Agricultural Center, Department of Biological and Agricultural Engineering, LaHouse Resource Center, Baton Rouge, United States, (3)Louisiana State University, Baton Rouge, LA, United States, (4)Louisiana State University, Baton Rouge, United States, (5)Louisiana State University, Bert S. Turner Department of Construction Management, Baton Rouge, LA, United States
 
Flood Hazard Risk Assessment and Social Vulnerability of Communities in Pune City, India (1168439)
Irene Garousi Nejad1, Steven M. Gorelick2, Raphael Karutz3, Peter Burek4, Mikhail Smilovic4, Ankun Wang2, Yuanzao Zhu5, Bernd Klauer5, Christian J. A. Klassert5, Karin Küblböck6, Ines Omann6, Heinrich Zozmann5 and Hannes Grohs6, (1)Stanford University, Stanford, United States, (2)Stanford University, Stanford, CA, United States, (3)Helmholtz Centre for Environmental Research UFZ Leipzig, Department of Urban and Environmental Sociology, Leipzig, Germany, (4)International Institute for Applied Systems Analysis, Laxenburg, Austria, (5)Helmholtz Centre for Environmental Research UFZ Leipzig, Department of Economics, Leipzig, Germany, (6)ÖFSE - Austrian Foundation for Development Research, Vienna, Austria
 
Effects of climate change on global flood impacts: insights from a coupled high-resolution coastal and fluvial flood model (1169712)
Justin Rogers1, Marco Maneta1, Stephan R Sain2 and Luke Madaus2, (1)Jupiter Intelligence, San Mateo, United States, (2)Jupiter, Boulder, United States
 
EVALUATION OF THE EARLY WARNING SYSTEM OF FLOOD IN THE NORTH-EASTERN REGION OF BANGLADESH (1173737)
Ahmed Hossain, Fabiha Rahman, Rashel Mahmud, . Shampa, Sonia Binte Murshed and Mashfiqus Salehin, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
 
Evaluation of the Potential of Multi-sensor Fusion for Global Flood Observation (1181212)
Dinuke Munasinghe1, Renato P. M. Frasson1 and Cedric H David2, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
EOTEC DevNet Flood Tools Tracker: Helping Users Find the Right Flood Tools and Capacity Building Resources (1188025)
Yakov M Moz1, Sydney Neugebauer2, David Borges3, Nancy D Searby1, Erin Martin4 and Martyna Anna Stelmaszczuk-Gorska5, (1)NASA Headquarters, Washington, DC, United States, (2)NASA Capacity Building Program, Hampton, VA, United States, (3)NASA Langley Research Center, Hampton, VA, United States, (4)Self, New York, United States, (5)Friedrich Schiller University of Jena, Jena, Germany
 
Patterns in Observed and Modeled Water Levels and Waves from a U.S. Coastal Ocean 40-Year Reanalysis (1188575)
Taylor Asher, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Brian Blanton, University of North Carolina at Chapel Hill, Renaissance Computing Institute, Chapel Hill, NC, United States, Rick Luettich, University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, United States, William Sweet, NOAA/NOS, Silver Spring, MD, United States, Greg Dusek, NOAA Camp Springs, Camp Springs, MD, United States and Audra Luscher-Aissaoui, NOAA National Ocean Service, Silver Spring, MD, United States
 
Improve Performance of Flood Forecasting System Using Hybrid LSTM Models (1189564)
Yue Zhang, ARIS of Electrical Engineering, University of Guelph, Guelph, ON, Canada
 
Flood Prevention and Mitigation Model for Flood Prone Residential Area (1190064)
Husna Parveen1, Iqra Bashir1, Jahangeer Jahangeer2 and Siraj Uddin Ahmed3, (1)Jamia Millia Islamia, Department of Environmental Sciences, New Delhi, India, (2)Jamia Millia Islamia, Jamia Millia Islamia, New Delhi, India, (3)JMI, A Central University, Department of Environmental Science, New Delhi, India
 
Mapping Flood Susceptibility of Critical Infrastructures (1194274)
Alessandra Ruiz, Texas A&M University Kingsville, Kingsville, TX, United States, Adnan Rajib, Assistant Professor, Cincinnati, United States and Qianjin Zheng, Texas A&M University Kingsville, Environmental Engineering, Kingsville, TX, United States
 
Infrastructure Detection and Flooding Assessment (1202646)
Zachary DeSantis, Lockheed Martin Space Systems, Cupertino, CA, United States
 
Real-time Flood Modeling with Data Assimilation for Vegetation Resistance Parameter Learning. (1042485)
Alexander L. Young1, John D Albertson1, Giovanni Moretti2 and Stefano Orlandini2, (1)Cornell University, Ithaca, NY, United States, (2)Università degli Studi di Modena e Reggio Emilia, Dipartimento di Ingegneria Enzo Ferrari, Modena, Italy
See more of: Hydrology