Quitoriano, V., Thompson, E., Smoczyk, G., and Wald, D., 2017, DYFI data for Induced Earthquake Studies: U.S. Geological Survey data release, https://doi.org/10.5066/F7WM1BPC.
Summary
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, and as constraints [...]
Summary
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, and as constraints for ShakeMaps used by utilities, insurers, and other affected parties. To facilitate continued use, we have produced a catalog of DYFI intensity observations associated with OK–KS events from 2001 onwards. We provide (anonymized) individual responses to the DYFI questionnaire, computed individual user intensities, and aggregated event-associated intensities in 1-km and 10-km boxes. We anticipate that this DYFI catalog will be particularly useful in conjunction with instrumental recordings of induced earthquakes to improve macroseismic intensity prediction equations (IPEs) and equations for converting between macroseismic intensity and instrumental measures. To this end, we have collated the DYFI dataset with the induced earthquake catalog and ground-motion data collection of Rennolet et al. (2016). We have also provided tools for users to replicate, filter, and update the dataset via the USGS GeoJSON feeds. The dataset and associated tools are available on the USGS GitHub repository. For GIS users, the induced earthquake DYFI dataset can be reviewed or accessed via the USGS Earthquake Hazards Program’s GIS web services.
