NH021
Global Flood Damages and Underlying Drivers
Global Flood Damages and Underlying Drivers
Session ID#: 247357
Session Description:
Globally, floods cause billions of dollars in losses each year, yet the relationship between flooding and resulting damage remains poorly understood. This session focuses on global datasets and continental- to global-scale studies that examine how flood damage patterns vary across sectors. Despite the existence of global flood databases, challenges such as inconsistent damage estimation methods and the exclusion of moderate events from insurance reporting have limited comprehensive analyses. We invite contributions that explore global flood damage databases, their limitations, and that apply inferential methods to explore the underlying drivers of damage patterns. Additionally, studies that analyze or predict global flood risks—through any methodological or interdisciplinary lens—are also welcome.
Co-Sponsor(s):
- H - Hydrology
- SY - Science and Society
Index Terms:
1821 Floods [HYDROLOGY]
1834 Human impacts [HYDROLOGY]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
4351 International organizations and natural disasters [NATURAL HAZARDS]
Primary Convener: Seon-Ho Kim, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States
Conveners: Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States, Stacey A Archfield, US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States and Chandramauli Awasthi, North Carolina State University, Civil, Construction, and Environmental Engineering, Raleigh, United States
Student/Early Career Convener: Seon-Ho Kim, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States
See more of: Natural Hazards