H12C:
Global Floods: Forecasting, Monitoring, Risk Assessment, and Socioeconomic Response I

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Session ID#: 34396

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:  Dennis P Lettenmaier, University of California Los Angeles, Los Angeles, CA, United States, Philip Ward, Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, Netherlands and Donglian Sun, George Mason University Fairfax, Fairfax, VA, United States
Chairs:  Dennis P Lettenmaier, University of California Los Angeles, Los Angeles, CA, United States, Huan Wu, Sun Yat-sen University, School of Atmospheric Sciences, Zhuhai, China, Philip Ward, Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), 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, Zhuhai, China

Cross-Listed:
  • NH - Natural Hazards
Index Terms:

1820 Floodplain dynamics [HYDROLOGY]
1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]
4331 Disaster relief [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Transforming SWAT for continental-scale high-resolution modeling of floodplain dynamics: opportunities and challenges (298904)
Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, IN, United States, Adnan Rajib, Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, United States, Zhu Liu, Purdue University, West Lafayette, IN, United States, Charles R. Lane, Environmental Protection Agency Cincinnati, Cincinnati, OH, United States, Heather E Golden, Environmental Protection Agency, Cincinnati, United States, Ahmad A Tavakoly, Engineer Research and Development Center Vicksburg, Coastal and Hydraulic Laboratory, River Engineering Branch, Vicksburg, United States and Michael L Follum, Engineer Research and Development Center Vicksburg, Coastal and Hydraulics Laboratory, Hydrologic Systems Branch, Vicksburg, MS, United States
Process-based model with flood control measures towards more realistic global flood modeling (Invited) (209687)
Qiuhong Tang1, Xuejun Zhang1, Yueling Wang2, Mengfei Mu1, Aifeng Lv1 and Zhe Li1, (1)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (2)Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
MERIT DEM: A new high-accuracy global digital elevation model and its merit to global hydrodynamic modeling (Invited) (210505)
Dai Yamazaki, University of Tokyo, Institute of Industrial Science, Tokyo, Japan, Daiki Ikeshima, Tokyo Institute of Technology, Tokyo, Japan, Jeffrey C Neal, University of Bristol, School of Geographical Sciences, Bristol, BS8, United Kingdom, Fiachra O'Loughlin, University College Dublin, School of Civil Engineering, Dublin, Ireland, Christopher Charles Sampson, SSBN Ltd, Bristol, United Kingdom, Shinjiro Kanae, Tokyo Institute of Technology, Department of Civil and Environmental Engineering, Tokyo, Japan and Paul D Bates, University of Bristol, School Of Geographical Sciences, Bristol, United Kingdom
Assessing uncertainty in SRTM elevations for global flood modelling (211639)
Laurence Paul Hawker, University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, Jonathan Rougier, University of Bristol, Bristol, United Kingdom, Jeffrey C Neal, University of Bristol, School of Geographical Sciences, Bristol, BS8, United Kingdom and Paul D Bates, University of Bristol, School Of Geographical Sciences, Bristol, United Kingdom
First evaluation of the utility of GPM precipitation in global flood monitoring (288113)
Huan Wu, Sun Yat-sen University, School of Atmospheric Sciences, Zhuhai, China, Yan Yan, 1, Guangzhou, China and Zhen Gao, Wuhan University, State Key Laboratory of Water Resources and Hydropower Engineering, Wuhan, China
Validation of individual and aggregate global flood hazard models for two major floods in Africa. (216381)
Mark Trigg1, Mark Bernhofen2 and Charlie Whyman1, (1)University of Leeds, Leeds, United Kingdom, (2)University of Leeds, Leeds, LS2, United Kingdom
Development of large scale riverine terrain-bathymetry dataset by integrating NHDPlus HR with NED,CoNED and HAND data (227515)
Zhe Li, UCAR/NOAA NWS OWP NWC, Tuscaloosa, AL, United States and Edward P Clark, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States

See more of: Hydrology