H51B:
Global Floods: Forecasting, Monitoring, Risk Assessment, and Socioeconomic Response I


Submit an Abstract to this Session


Session ID#: 62425

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.

 We hope this session could also aim to contribute to the aims 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.

Primary Convener:  Huan Wu, Sun Yat-sen University, School of Atmospheric Sciences, Zhuhai, China
Conveners:  Philip Ward, IVM - VU University Amsterdam, Amsterdam, Netherlands, Donglian Sun, George Mason University Fairfax, Fairfax, VA, United States and Dennis P. Lettenmaier, University of California Los Angeles, Department of Geography, Los Angeles, CA, United States
Primary Liaison:  Huan Wu, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China
Chairs:  Huan Wu, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China, Philip Ward, IVM - VU University Amsterdam, Amsterdam, Netherlands and Donglian Sun, George Mason University Fairfax, Fairfax, VA, United States
OSPA Liaison:  Huan Wu, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China
Co-Organized with:
Hydrology, and Natural Hazards

Cross-Listed:
  • NH - Natural Hazards

Proposed Co-Organized Session with:
  • NH - Natural Hazards
Index Terms:

1821 Floods [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
3354 Precipitation [ATMOSPHERIC PROCESSES]
4335 Disaster management [NATURAL HAZARDS]

Abstracts Submitted to this Session:

A Global Flood Database from 2001-2017: empirical satellite data reveals what global flood models cannot predict (469101)
Beth Tellman, University of Arizona, School of Geography, Development and Environment, Tucson, United States; Cloud to Street, New York, United States, Jonathan Sullivan, Cloud to Street, Ann Arbor, MI, United States, Catherine Kuhn, University of Washington Seattle Campus, School of Environmental and Forestry Sciences, Seattle, WA, United States, Colin Doyle, The University of Texas at Austin, Department of Geography and the Environment, Austin, United States, Prof. Albert Kettner, University of Colorado Boulder, INSTAAR, Boulder, CO, United States, G Robert Brakenridge, CSDMS Facility, INSTAAR, Boulder, CO, United States, Daniel A Slayback, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States and Tyler Erickson, Google, Earth Outreach, Mountain View, United States
Recent improvements in the FloodScan system for high-resolution flood mapping from passive microwave remote sensing (458859)
John F. Galantowicz1, Jeffrey Picton1, Ben Root1 and Robert Finan2, (1)Atmospheric and Environmental Research, Lexington, MA, United States, (2)Atmospheric and Environmental Research, Lexington, United States
Rapid SAR-based Flood-water Depth Estimation (394454)
Xinyi Shen, University of Connecticut, Civil and Environmental Engineering, Storrs, CT, United States, Emmanouil N Anagnostou, Professor, Civil and Environmental Engineering, Storrs, United States and Hojjat Seyyedi, AON company, Chicago, IL, United States
Hierarchical Bayesian approach for spatio-temporal transferability of flood loss models (359202)
Nivedita Sairam1, Kai Schroeter1 and Heidi Kreibich2, (1)GFZ German Research Centre for Geosciences, Section Hydrology, Potsdam, Germany, (2)GFZ German Research Centre for Geosciences, Section 4.4 Hydrology, Potsdam, Germany
Managing the Financial Risks From Flooding in a Future Climate (406549)
Emma Kate Raven1, Sarah EO Jones1, Alison Kay2, Colin Sullivan3, Evan Kodra3, Jason Thistlethwaite4, Daniel Henstra4 and Andrea Minano4, (1)JBA Risk Management, Skipton, United Kingdom, (2)Centre for Ecology and Hydrology, Wallingford, United Kingdom, (3)risQ, Cambridge, MA, United States, (4)University of Waterloo, Waterloo, Canada
Flood risk management through spatial diversification at the global scale: integrating machine learning with hydrological and climate modeling (459332)
David Carozza and Mathieu Boudreault, University of Quebec at Montreal UQAM, Mathematics, Montreal, QC, Canada

See more of: Hydrology