NH32B:
Improving Earthquake Hazard and Loss Assessments by Combining Modeled, Remotely Sensed, Crowdsourced, and Ground-Truth Data eLightning


Submit an Abstract to this Session


Session ID#: 52389

Session Description:
Near-real time (NRT) post-disaster data are becoming faster, and more accurate and widely accessible. Over the course of hours to days, post-earthquake data could quickly inform predictive loss models and damage assessments, increasing model accuracy and utility. Data of interest range from crowd-sourced shaking and damage assessments, social media observations of damage and casualties, to rapid, remotely-sensed imagery, including UAV data, fault offsets, ground deformation, image decorrelations, and damage proxies. Each of these timely datasets can be of value if they are properly considered in the context of prior constraints and are treated with respect to their uncertainties. Over the course of hours-to-days, loss model estimates and damage assessments should rely more and more heavily on ground-truth constraints, resulting in response-oriented informational products. Incorporating NRT datasets involves both international coordination and algorithmic challenges. This session solicits contributions on data and approaches to improve post-earthquake loss and damage assessments worldwide.
Primary Convener:  David J Wald, USGS Geologic Hazards Science Center, Golden, United States
Conveners:  Sang-Ho Yun, Jet Propulsion Laboratory, Pasadena, United States, Sang-Ho Yun, Earth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore and Haeyoung Noh, Carnegie Mellon University, Department of Civil and Environmental Engineering, Pittsburgh, PA, United States
Primary Liaison:  David J Wald, USGS Geologic Hazards Science Center, Golden, United States
Chairs:  David J Wald, USGS Geologic Hazards Science Center, Golden, United States and Sang-Ho Yun, Jet Propulsion Laboratory, Pasadena, United States
OSPA Liaison:  David J Wald, USGS Geologic Hazards Science Center, Golden, United States

Cross-Listed:
  • G - Geodesy
  • S - Seismology
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1240 Satellite geodesy: results [GEODESY AND GRAVITY]
4331 Disaster relief [NATURAL HAZARDS]
4335 Disaster management [NATURAL HAZARDS]
4346 Emergency response and evacuations [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Automated Earthquake Exposure and Damage Assessment Models for Disaster Response (362928)
Madeline Jones, New Light Technologies, Inc., Contract Support to FEMA Response Geospatial Office, Washington, DC, United States
Spatial Integration of Modeled, Remotely-sensed, and Field Surveyed Building Damage Data to Support Post-Earthquake Response and Recovery Decisions (393528)
Prof. Sabine Loos, PhD, University of Michigan, Civil and Environmental Engineering Department, Michigan, United States, Sang-Ho Yun, Earth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore, Jack W Baker, Stanford Univ, Stanford, United States and Sang-Ho Yun, Jet Propulsion Laboratory, Pasadena, United States
An Efficient Bayesian Framework for Updating PAGER Loss Estimates (394538)
Kishor Jaiswal1, Haeyoung Noh2, Davis Engler3, David J Wald3 and Mahadevan Ganesh4, (1)Research Civil Engineer, U.S. Geological Survey, Denver, CO, United States, (2)Carnegie Mellon University, Department of Civil and Environmental Engineering, Pittsburgh, PA, United States, (3)USGS Geologic Hazards Science Center, Golden, United States, (4)Professor, Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, United States
Updating USGS ShakeMap Shaking, Ground Failure, and PAGER Loss Models with Ground Truth Observations (399957)
David J Wald, USGS Central Region Offices Denver, Denver, CO, United States, Kishor Jaiswal, Research Civil Engineer, U.S. Geological Survey, Denver, CO, United States, Kate Allstadt, USGS Geologic Hazards Science Center, Golden, CO, United States, Davis Engler, USGS Geologic Hazards Science Center, Golden, United States and Haeyoung Noh, Carnegie Mellon University, Department of Civil and Environmental Engineering, Pittsburgh, PA, United States
The Influence of Intersection Angle between Fault Rupture Line and Embedded Shallow Foundation Subject to Reverse Oblique-slip Faulting in Sandy Soil by Distinct Element Simulation (403507)
Chun-Yuan Liu, Chien Hung Li and Ming-Lang Lin, National Taiwan University, Department of Civil Engineering, Taipei, Taiwan
Study on the characteristic of Tectonic Stress Field in Himalaya Areas (407804)
Guangyin Xu, IGP Institute of Geophysics, China Earthquake Administration, Beijing, China
Probabilistic Seismic Hazard Assessment for Northern Chile and Southern Peru (419835)
Ranjit Das Jr, National Reserach Center for Integrated Natural Disaster Management , Chile, Geology, Santiago, Chile and Gabriel Gonzalez, Universidad Católica del Norte, Department of Geological Sciences, Antofagasta, Chile
Compiling a training data set for rapid detection of earthquake-induced building collapse using satellite imagery (462390)
Vahid Rashidian, Tufts University, Medford, MA, United States, Laurie G Baise, Tufts University, Civil and Environmental Engineering, Medford, MA, United States and Magaly Koch, Boston University, Earth & Environment, Boston, MA, United States
Shaking is Almost Always a Surprise: The Earthquakes That Produce Significant Ground Motion (400032)
Sarah E Minson1, Annemarie Baltay2, Elizabeth S Cochran3 and Thomas C Hanks2, (1)U.S. Geological Survey, Earthquake Science Center, Menlo Park, United States, (2)Earthquake Hazards Program Menlo Park, Earthquake Science Center, Menlo Park, CA, United States, (3)U.S. Geological Survey, Earthquake Science Center, Pasadena, United States

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