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David J Wald

Research Geophysicist

Geologic Hazards Science Center

Office Phone: 303-273-8441
Fax: 303-273-8600
ORCID: 0000-0002-1454-4514

P.O. Box 25046
Mail Stop 966
Denver , CO 80225-0046

Supervisor: Jill McCarthy
It is well know that every earthquake can spawn others (e.g., as aftershocks), and that such triggered events can be large and damaging, as recently demonstrated by L’Aquila, Italy and Christchurch, New Zealand earthquakes. In spite of being an explicit USGS strategic-action priority (; page 32), the USGS currently lacks an automated system with which to forecast such events and official protocols for disseminating the potential implications. This capability, known as Operational Earthquake Forecasting (OEF), could provide valuable situational awareness to emergency managers, the public, and other entities interested in preparing for potentially damaging earthquakes. With the various...
Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake hazard analyses is limited. The development of robust and transportable models requires access to numerous inventories of ground failure triggered by earthquakes that span a broad range of terrains, shaking characteristics, and climates. We present an openly accessible, centralized earthquake-triggered ground-failure inventory repository in the form of a ScienceBase Community to provide open access to these data, and help accelerate progress. The Community hosts digital inventories created by both USGS and non-USGS authors. We present...
The past decade has seen improvements in computational efficiency, seismic data coverage, and communication technology - driven by societal expectation for timely, accurate information. While aspects of earthquake research have taken advantage of this evolution, the adoption of improvements in earthquake monitoring has not been fully leveraged. In real-time monitoring, earthquakes are characterized in a vacuum, without building upon our knowledge of past events. New data types may help characterize earthquakes more quickly and accurately. New opportunities exist for rapidly communicating information. With these advances, global seismic monitoring can improve the quality and timeliness of information shared with...
U.S. Geological Survey - ShakeCast: a ShakeMap Response Automation System ShakeCast is an application that automatically retrieves ShakeMap data and distributes notifications and assessments to key personnel. ShakeMap scenarios can be found sorted by category within the 'Collections' tab.
Categories: Data; Types: Offline Data; Tags: ShakeMap, earthquake, scenarios
The significant rise in seismicity rates in Oklahoma and Kansas (OK–KS) in the last decade has led to an increased interest in studying induced earthquakes. Although additional instruments have been deployed in the region, there are still relatively few recordings at the distances (<20 km) and magnitudes (M4+) most relevant to earthquake hazard. In contrast, the USGS Did You Feel It? (DYFI) system has collected more than 200,000 observations during this period with 22,000+ observations at distances less than 20 km. This dataset has already been used to study the unique characteristics of induced earthquakes, to evaluate the extent of felt area, shaking, and damage, to compare intensity and ground motion metrics,...
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