H21D:
Global Floods: Forecasting, Monitoring, Risk Assessment, and Socioeconomic Response III Posters

Submit an Abstract to this Session



Session ID#: 24965

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, Philip Ward, Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, Netherlands and Huan Wu, Sun Yat-sen University, School of Atmospheric Sciences, Zhuhai, China
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:

Integrated Urban Flood Analysis considering Optimal Operation of Flood Control Facilities in Urban Drainage Networks (223363)
Young-Il Moon1, Min-Seok Kim2, Ji-Hyeok Choi3 and Gi-Moon Yuk2, (1)University of Seoul, Seoul, Korea, Republic of (South), (2)Urban Flood Institute, Seoul, South Korea, (3)University of Seoul, Seoul, South Korea
Validation of a 30m resolution flood hazard model of the conterminous United States (224039)
Christopher Charles Sampson1, Oliver Wing2, Andrew Smith2, Paul D Bates3 and Jeffrey C Neal4, (1)Organization Not Listed, Washington, DC, United States, (2)SSBN Ltd, Bristol, United Kingdom, (3)University of Bristol, School Of Geographical Sciences, Bristol, United Kingdom, (4)University of Bristol, School of Geographical Sciences, Bristol, BS8, United Kingdom
Incorporating remotely sensed local flood records into a global flood modelling framework (250250)
Jeffrey C Neal, University of Bristol, School of Geographical Sciences, Bristol, BS8, United Kingdom, Guy Schumann, Remote Sensing Solutions, Inc., Pasadena, United States, Andrew Smith, SSBN Ltd, Bristol, United Kingdom and Paul D Bates, University of Bristol, School Of Geographical Sciences, Bristol, United Kingdom
Flood Extent Delineation by Thresholding Sentinel-1 SAR Imagery Based on Ancillary Land Cover Information (252610)
Jiayong Liang, Cloud to Street, New York, United States and Desheng Liu, The Ohio State University, Department of Geography, Columbus, United States
Enhancing Flood Prediction Reliability Using Bayesian Model Averaging (258515)
Zhu Liu, Purdue University, West Lafayette, IN, United States and Venkatesh Merwade, Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, United States
Recent changes in flood damage in the United States from observations and ACME model (261434)
Guoyong Leng, Pacific Northwest National Laboratory, Richland, WA, United States and L Ruby Leung, PNNL / Climate Physics, Richland, WA, United States
The Influence Of Antecedent Conditions On Flood Risk In Sub-Saharan Africa (271839)
Konstantinos Bischiniotis, Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, Netherlands
Predicting Near Real-Time Inundation Occurrence from Complimentary Satellite Microwave Brightness Temperature Observations (279151)
Colby K Fisher, Princeton Climate Analytics, Princeton, United States, Ming Pan, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States and Eric F Wood, Princeton University, Princeton, NJ, United States
Improving Watershed-Scale Hydrodynamic Models by Incorporating Synthetic 3D River Bathymetry Network (290564)
Sayan Dey, Purdue University, West Lafayette, IN, United States, Siddharth Saksena, Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, United States and Venkatesh Merwade, Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, United States
Floodplain Mapping for the Continental United States Using Machine Learning Techniques and Watershed Characteristics (298271)
Keighobad Jafarzadegan1, Venkatesh Merwade1 and Siddharth Saksena2, (1)Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, United States, (2)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, United States

See more of: Hydrology