David J Wald
Dr. Wald is a Seismologist with the USGS in Golden. He is involved in research, development & operations of several real-time earthquake information systems at the USGS National Earthquake Information Center. He developed and manages “ShakeMap”, “Did You Feel it?”, & is responsible for developing other systems for post-earthquake response & pre-earthquake mitigation, including ShakeCas
Wald's scientific interests include the characterization of rupture processes from complex recent and historic earthquakes using combined geodetic, teleseismic, and strong motion data; waveform modelling and inversion; analysis of ground motion hazards and site effects; earthquake source physics; and modelling earthquake-induced landslides, liquefaction, and losses, macroseismic intensity, building damage, financial and human impact, rapid damage and impact assessment, earthquake scenario development and mitigation planning and drills, and communication with the media, public, and emergency managers.
Previously at Caltech, and now at the Colorado School of Mines, Wald has advised dozens of post-doctoral, graduate, and undergraduate student research projects. Wald directly supervises 10 PhD level scientists and 5 five BS and MS level support staff, and supervises several students. Wald serves on several PhD committees at this time. This research has resulted in more than 450 professional publications that David has authored or co-authored, including journal papers, USGS publication series, conference papers, and published abstracts.
Education:
Post-doctoral Fellow, Geophysics, National Research Council, USGS, Pasadena, 1995
Ph.D., Geophysics, California Institute of Technology, Pasadena, CA, 1993
M.S., Geophysics, University of Arizona, Tucson, AZ, 1986
B.S., Geology & Physics, St. Lawrence University, Canton, NY, 1984
Science and Products
Compilation of VS30 Data for the United States
Rapid characterization of the 2015 Mw 7.8 Gorkha, Nepal, earthquake sequence and its seismotectonic context
The Mw6.0 24 August 2014 South Napa earthquake
U.S. Geological Survey's ShakeCast: A cloud-based future
Geophysical advances triggered by 1964 Great Alaska Earthquake
A little more than 50 years ago, on 27 March 1964, the Great Alaska earthquake and tsunami struck. At moment magnitude 9.2, this earthquake is notable as the largest in U.S. written history and as the second-largest ever recorded by instruments worldwide. But what resonates today are its impacts on the understanding of plate tectonics, tsunami generation, and earthquake history as well as on the d
Estimating structural collapse fragility of generic building typologies using expert judgment
Predicting the spatial extent of liquefaction from geospatial and earthquake specific parameters
Development of a globally applicable model for near real-time prediction of seismically induced landslides
A VS30 map for California with geologic and topographic constraints
Estimating structural collapse fragility of generic building typologies using expert judgment
Estimating economic losses from earthquakes using an empirical approach
Strategies for rapid global earthquake impact estimation: the Prompt Assessment of Global Earthquakes for Response (PAGER) system
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
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Compilation of VS30 Data for the United States
VS30, the time-averaged shear-wave velocity (VS) to a depth of 30 meters, is a key index adopted by the earthquake engineering community to account for seismic site conditions. VS30 is typically based on geophysical measurements of VS derived from invasive and noninvasive techniques at sites of interest. Owing to cost considerations, as well as logistical and environmental concerns, VS30 data areAuthorsAlan Yong, Eric M. Thompson, David J. Wald, Keith L. Knudsen, Jack K. Odum, William J. Stephenson, Scott HaefnerRapid characterization of the 2015 Mw 7.8 Gorkha, Nepal, earthquake sequence and its seismotectonic context
Earthquake response and related information products are important for placing recent seismic events into context and particularly for understanding the impact earthquakes can have on the regional community and its infrastructure. These tools are even more useful if they are available quickly, ahead of detailed information from the areas affected by such earthquakes. Here we provide an overview ofAuthorsGavin P. Hayes, Richard W. Briggs, William D. Barnhart, William L. Yeck, Daniel E. McNamara, David J. Wald, Jennifer Nealy, Harley M. Benz, Ryan D. Gold, Kishor S. Jaiswal, Kristin Marano, Paul S. Earle, Mike Hearne, Gregory M. Smoczyk, Lisa A. Wald, Sergey SamsonovThe Mw6.0 24 August 2014 South Napa earthquake
The Mw 6.0 South Napa earthquake, which occurred at 10:20 UTC 24 August 2014 was the largest earthquake to strike the greater San Francisco Bay area since the Mw 6.9 1989 Loma Prieta earthquake. The rupture from this right‐lateral earthquake propagated mostly unilaterally to the north and up‐dip, directing the strongest shaking toward the city of Napa, where peak ground accelerations (PGAs) betweeAuthorsThomas M. Brocher, Annemarie S. Baltay, Jeanne L. Hardebeck, Fred F. Pollitz, Jessica R. Murray, Andrea L. Llenos, David P. Schwartz, J. Luke Blair, Daniel J. Ponti, James J. Lienkaemper, Victoria E. Langenheim, Timothy E. Dawson, Kenneth W. Hudnut, David R. Shelly, Douglas S. Dreger, John Boatwright, Brad T. Aagaard, David J. Wald, Richard M. Allen, William D. Barnhart, Keith L. Knudsen, Benjamin A. Brooks, Katherine M. ScharerU.S. Geological Survey's ShakeCast: A cloud-based future
When an earthquake occurs, the U. S. Geological Survey (USGS) ShakeMap portrays the extent of potentially damaging shaking. In turn, the ShakeCast system, a freely-available, post-earthquake situational awareness application, automatically retrieves earthquake shaking data from ShakeMap, compares intensity measures against users’ facilities, sends notifications of potential damage to responsiAuthorsDavid J. Wald, Kuo-Wan Lin, Loren Turner, Nebi BekiriGeophysical advances triggered by 1964 Great Alaska Earthquake
A little more than 50 years ago, on 27 March 1964, the Great Alaska earthquake and tsunami struck. At moment magnitude 9.2, this earthquake is notable as the largest in U.S. written history and as the second-largest ever recorded by instruments worldwide. But what resonates today are its impacts on the understanding of plate tectonics, tsunami generation, and earthquake history as well as on the d
AuthorsPeter J. Haeussler, William S. Leith, David J. Wald, John R. Filson, Cecily Wolfe, David ApplegateEstimating structural collapse fragility of generic building typologies using expert judgment
The structured expert elicitation process proposed by Cooke (1991), hereafter referred to as Cooke's approach, is applied for the first time in the realm of structural collapse-fragility assessment for selected generic construction types. Cooke's approach works on the principle of objective calibration scoring of judgments couple with hypothesis testing used in classical statistics. The performancPredicting the spatial extent of liquefaction from geospatial and earthquake specific parameters
The spatially extensive damage from the 2010-2011 Christchurch, New Zealand earthquake events are a reminder of the need for liquefaction hazard maps for anticipating damage from future earthquakes. Liquefaction hazard mapping as traditionally relied on detailed geologic mapping and expensive site studies. These traditional techniques are difficult to apply globally for rapid response or loss estiAuthorsJing Zhu, Laurie G. Baise, Eric M. Thompson, David J. Wald, Keith L. KnudsenDevelopment of a globally applicable model for near real-time prediction of seismically induced landslides
Substantial effort has been invested to understand where seismically induced landslides may occur in the future, as they are a costly and frequently fatal threat in mountainous regions. The goal of this work is to develop a statistical model for estimating the spatial distribution of landslides in near real-time around the globe for use in conjunction with the U.S. Geological Survey (USGS) PromptAuthorsM. Anna Nowicki, David J. Wald, Michael W. Hamburger, Mike Hearne, Eric M. ThompsonA VS30 map for California with geologic and topographic constraints
For many earthquake engineering applications, site response is estimated through empirical correlations with the time‐averaged shear‐wave velocity to 30 m depth (VS30). These applications therefore depend on the availability of either site‐specific VS30 measurements or VS30 maps at local, regional, and global scales. Because VS30 measurements are sparse, a proxy frequently is needed to estimate VSAuthorsEric Thompson, David J. Wald, Charles WordenEstimating structural collapse fragility of generic building typologies using expert judgment
The structured expert elicitation process proposed by Cooke (1991), hereafter referred to as Cooke’s approach, is applied for the first time in the realm of structural collapse-fragility assessment for selected generic construction types. Cooke’s approach works on the principle of objective calibration scoring of judgments coupled with hypothesis testing used in classical statistics. The perfAuthorsKishor S. Jaiswal, D. J. Wald, D. Perkins, W. P. Aspinall, Anne S. KiremidjianEstimating economic losses from earthquakes using an empirical approach
We extended the U.S. Geological Survey's Prompt Assessment of Global Earthquakes for Response (PAGER) empirical fatality estimation methodology proposed by Jaiswal et al. (2009) to rapidly estimate economic losses after significant earthquakes worldwide. The requisite model inputs are shaking intensity estimates made by the ShakeMap system, the spatial distribution of population available from theAuthorsKishor Jaiswal, David J. WaldStrategies for rapid global earthquake impact estimation: the Prompt Assessment of Global Earthquakes for Response (PAGER) system
This chapter summarizes the state-of-the-art for rapid earthquake impact estimation. It details the needs and challenges associated with quick estimation of earthquake losses following global earthquakes, and provides a brief literature review of various approaches that have been used in the past. With this background, the chapter introduces the operational earthquake loss estimation system develoAuthorsKishor Jaiswal, D. J. WaldNon-USGS Publications**
References in Google Scholar**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
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