NH52B:
The Collection of Natural Hazard, Exposure, and Vulnerability Data for Use in Risk Assessments and Other Novel Purposes


Submit an Abstract to this Session


Session ID#: 62915

Session Description:
Data is at the core of any informed risk management activity, including disaster risk financing, land-use planning, or emergency management. Three classes of data are required to assess the impact of natural hazards: peril data that provide the spatial distribution of the intensity of a hazard event; exposure data that characterize the assets exposed to a natural hazard; and, vulnerability data that can be used to model the response of the asset to the hazard event. This session will bring together presentations describing efforts to develop and to use such data for risk management. We particularly seek presentations that focus on multi-hazard approaches, community mapping of exposure data, the use of machine learning to develop exposure and vulnerability data, and on novel uses of the hazard, exposure and vulnerability data.
Primary Convener:  Richard J Murnane, Global Facility for Disaster Reduction and Recovery, World Bank, Washington, DC, United States
Conveners:  Stuart Fraser, Global Facility for Disaster Reduction and Recovery, World Bank, Washington, DC, United States, Carmine Galasso, University College London, Department of Civil, Environmental & Geomatic Engineering, London, United Kingdom and Nicolas Pondard, Global Facility for Disaster Reduction and Recovery, Washington, DC, United States
Primary Liaison:  Richard J Murnane, Kinetic Analysis Corporation, Silver Spring, MD, United States
Chairs:  Richard J Murnane, Kinetic Analysis Corporation, Silver Spring, MD, United States and Nicolas Pondard, Global Facility for Disaster Reduction and Recovery, Washington, DC, United States
OSPA Liaison:  Richard J Murnane, Kinetic Analysis Corporation, Silver Spring, MD, United States
Index Terms:

4306 Multihazards [NATURAL HAZARDS]
4313 Extreme events [NATURAL HAZARDS]
4326 Exposure [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]

Abstracts Submitted to this Session:

An Open, Extensible Data Schema for Multiple Hazards, Exposure and Vulnerability Data (414661)
Richard J Murnane1, Amal Ali1, Stuart Fraser1, Cristiano Giovando1, Emma Phillips1 and GFDRR-DFID Challenge Fund Hazard, Exposure and Vulnerability Consortia, (1)Global Facility for Disaster Reduction and Recovery, World Bank, Washington, DC, United States
Modelling Exposure through Earth Observation Routines (METEOR) for Developing Countries: Increasing Availability and Access to More Robust Risk Information (353375)
Shubharoop Ghosh1, Charles K Huyck2, Ronald T Eguchi1, Colm Jordan3, Kay B Smith4, Vitor Silva5, Mhairi Elizabeth O'Hara6 and Claire Simon7, (1)ImageCat, Inc., Long Beach, CA, United States, (2)ImageCat, Inc., Hillsborough, United States, (3)British Geological Survey Keyworth, Nottinghamshire, United Kingdom, (4)British Geological Survey Edinburgh, Edinburgh, United Kingdom, (5)Global Earthquake Model Foundation, Pavia, Italy, (6)Humanitarian OpenStreetMap Team, Washington DC, United States, (7)Oxford Policy Management Limited, Oxford, United Kingdom
Introducing FEMA’s National Risk Index: a Baseline Multi-Hazard Risk Assessment for the United States and an Interactive Web Platform to Visualize It (420989)
Jordan Burns1, Casey Zuzak2 and Jesse Rozelle2, (1)Federal Emergency Management Agency, Natural Hazards Risk Assessment Program, Denver, CO, United States, (2)Federal Emergency Management Agency, Natural Hazards Risk Assessment Program, Washington, D.C., United States
Characterizing multi-hazard exposure for lands, assets, resources, and people associated with the U.S. Department of the Interior (450429)
Nathan J Wood1, Jeanne M Jones2, Kevin Henry3, Jason Sherba2, Peter Ng2, Kristin A. Ludwig4 and Alice Pennaz5, (1)USGS Western Geographic Science Center, Portland, OR, United States, (2)USGS Western Geographic Science Center, Mountain View, CA, United States, (3)USGS Western Geographic Science Center, Sacramento, CA, United States, (4)US Geological Survey, Washington, DC, United States, (5)U.S. Geological Survey, Office of Risk and Resilience, Reston, United States
Near real-time landslide risk assessment using remote sensing data (368150)
Robert Emberson1,2, Dalia Kirschbaum3 and Thomas Stanley2,4, (1)Universities Space Research Association, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (3)NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States, (4)Universities Space Research Association Greenbelt, Greenbelt, MD, United States
Can Heat Vulnerability Indices Measure Heat Vulnerability? A Monte Carlo Simulation to Assessthe Sensitivity of Heat Vulnerability Indices to Measurement Error and Misspecification in LosAngeles, Pittsburgh and NYC (382443)
Diogo Oscar Borges Prosdocimi, RAND Corporation Santa Monica, Santa Monica, CA, United States and Kelly Klima, RAND Corporation, Santa Monica, CA, United States
Application of functional safety from the industrial sectors for risk assessment from natural hazards: A case study of rockfall on highway network in South Korea (462017)
Jongook Lee, Seoul National University, Seoul, Korea, Republic of (South)
Predicting typhoon losses in Taiwan: From data-driven to detailed modeling (389675)
Chia-Jeng Chen1, Che-Min Chang1 and Tsung-Yu Lee2, (1)National Chung Hsing University, Civil Engineering, Taichung, Taiwan, (2)NTNU National Taiwan Normal University, Taipei, Taiwan
Understanding the Nature and Impacts of Storm Lead Times in the Caribbean (448565)
Denyse S. Dookie, Columbia University of New York, School of International and Public Affairs (SIPA), New York, NY, United States

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