The Key Role of Eyewitnesses in Rapid Impact Assessment of Global Earthquakes

Rapid assessment of a global earthquake’s impact, focusing on damage caused by ground shaking (rather than secondary effects such as fires, tsunamis, landslides…), relies first on the spatial distribution of earthquake shaking as estimated by ground-motions prediction equations and on the building stock inventory and related vulnerability (Erdik et al. 2011). However, the variability of the ground-motion predictions model is significant (e.g., Atik et al. 2010), and at the global scale, building stock inventory and related vulnerability are difficult to evaluate with sufficient accuracy and spatial resolution (Porter et al. 2008) leading to uncertainties in impact assessments.

[1]  Fréderic Roussel,et al.  Citizen Seismology: How to Involve the Public in Earthquake Response , 2011 .

[2]  L. Wald,et al.  The 1999 Southern California Seismic Network Bulletin , 2000 .

[3]  David J. Wald,et al.  The Effects of Earthquake Measurement Concepts and Magnitude Anchoring on Individuals’ Perceptions of Earthquake Risk , 2005 .

[4]  Michelle R. Guy,et al.  Twitter earthquake detection: earthquake monitoring in a social world , 2012 .

[5]  Richard M. Allen,et al.  Transforming Earthquake Detection? , 2012, Science.

[6]  Michaël Aupetit,et al.  Internet users as seismic sensors for improved earthquake response , 2008 .

[7]  R. Bilham Lessons from the Haiti earthquake , 2010, Nature.

[8]  Thomas H. Heaton,et al.  TriNet “ShakeMaps”: Rapid Generation of Peak Ground Motion and Intensity Maps for Earthquakes in Southern California , 1999 .

[9]  Stan Schwarz Cyberseismology and Teachable Moments , 2004 .

[10]  Rémy Bossu,et al.  Flash sourcing, or rapid detection and characterization of earthquake effects through website traffic analysis , 2012 .

[11]  Mustafa Erdik,et al.  Rapid Earthquake Loss Assessment After Damaging Earthquakes , 2011 .

[12]  Craig D. Comartin,et al.  WHE-PAGER PROJECT: A NEW INITIATIVE IN ESTIMATING GLOBAL BUILDING INVENTORY AND ITS SEISMIC VULNERABILITY , 2008 .

[13]  D. Wald,et al.  Utilization of the Internet for rapid community intensity maps , 1999 .

[14]  David J. Wald,et al.  USGS "Did You Feel It?" internet-based macroseismic intensity maps , 2012 .

[15]  P. Earle,et al.  OMG Earthquake! Can Twitter Improve Earthquake Response? , 2009 .

[16]  Elizabeth S. Cochran,et al.  The Quake-Catcher Network: Citizen Science Expanding Seismic Horizons , 2009 .

[17]  Julian J. Bommer,et al.  The Variability of Ground-Motion Prediction Models and Its Components , 2010 .

[18]  R. Bossu,et al.  Characterization of the 2011 Mineral, Virginia, Earthquake Effects and Epicenter from Website Traffic Analysis , 2014 .

[19]  I. Kalogeras,et al.  Preliminary Results about the Catastrophic Earthquake of 7 September 1999 in Athens, Greece , 2000 .