Mark Petersen (Former Employee)
Science and Products
Filter Total Items: 72
The 2018 update of the US National Seismic Hazard Model: Additional period and site class data The 2018 update of the US National Seismic Hazard Model: Additional period and site class data
As part of the update of the 2018 National Seismic Hazard Model (NSHM) for the conterminous United States (CONUS), new ground motion and site effect models for the central and eastern United States were incorporated, as well as basin depths from local seismic velocity models in four western US (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic...
Authors
Allison Shumway, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian, Kenneth S. Rukstales, Brandon Clayton
Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges
Seismic hazard modelling is a multi-disciplinary science that aims to forecast earthquake occurrence and its resultant ground shaking. Such models consist of a probabilistic framework that quantifies uncertainty across a complex system; typically, this includes at least two model components developed from Earth science: seismic-source and ground-motion models. Although there is no...
Authors
M. C. Gerstenberger, W. Marzocchi, T. J. Allen, M. Pagani, Janice Adams, L. Danciu, Edward H. Field, H. Fujiwara, Nico Luco, K-F Ma, C. Meletti, Mark D. Petersen
Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions
The selection and weighting of ground‐motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using instrumental ground‐motion observations of horizontal peak ground acceleration (PGA) and 5%‐damped pseudospectral acceleration (0.02–10 s)...
Authors
Daniel E. McNamara, Emily Wolin, Peter M. Powers, Allison Shumway, Morgan P. Moschetti, John Rekoske, Eric M. Thompson, Charles Mueller, Mark D. Petersen
Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence
Instrumental ground‐motion recordings from the 2018 Anchorage, Alaska (Mw 7.1), earthquake sequence provide an independent data set allowing us to evaluate the predictive power of ground‐motion models (GMMs) for intraslab earthquakes associated with the Alaska subduction zone. In this study, we evaluate 15 candidate GMMs using instrumental ground‐motion observations of peak ground...
Authors
Daniel E. McNamara, Emily Wolin, Peter M. Powers, Allison Shumway, Morgan P. Moschetti, John Rekoske, Eric M. Thompson, Charles Mueller, Mark D. Petersen
The 2018 update of the US National Seismic Hazard Model: Overview of model and implications The 2018 update of the US National Seismic Hazard Model: Overview of model and implications
During 2017–2018, the National Seismic Hazard Model for the conterminous United States was updated as follows: (1) an updated seismicity catalog was incorporated, which includes new earthquakes that occurred from 2013 to 2017; (2) in the central and eastern United States (CEUS), new ground motion models were updated that incorporate updated median estimates, modified assessments of the...
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles Mueller, Morgan P. Moschetti, Arthur D. Frankel, Sanaz Rezaeian, Daniel E. McNamara, Nico Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor S. Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon Clayton, Edward H. Field, Yuehua Zeng
Improved implementation of rupture location uncertainty in fault displacement hazard assessment Improved implementation of rupture location uncertainty in fault displacement hazard assessment
This short note proposes an improvement to the implementation of uncertainty associated with rupture location from future earthquakes in probabilistic fault displacement hazard analysis. Location uncertainty leads to nonzero primary fault displacement near a mapped fault. With the improved implementation of location uncertainty, estimated fault displacement hazard at a given site is...
Authors
Rui Chen, Mark D. Petersen
New USGS map shows where damaging earthquakes are most likely to occur in US New USGS map shows where damaging earthquakes are most likely to occur in US
USGS scientists and our partners recently revealed the latest National Seismic Hazard Model, showing that nearly 75% of the United States could experience a damaging earthquake, emphasizing seismic hazards span a significant part of the country.
Science and Products
Filter Total Items: 72
The 2018 update of the US National Seismic Hazard Model: Additional period and site class data The 2018 update of the US National Seismic Hazard Model: Additional period and site class data
As part of the update of the 2018 National Seismic Hazard Model (NSHM) for the conterminous United States (CONUS), new ground motion and site effect models for the central and eastern United States were incorporated, as well as basin depths from local seismic velocity models in four western US (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic...
Authors
Allison Shumway, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian, Kenneth S. Rukstales, Brandon Clayton
Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges
Seismic hazard modelling is a multi-disciplinary science that aims to forecast earthquake occurrence and its resultant ground shaking. Such models consist of a probabilistic framework that quantifies uncertainty across a complex system; typically, this includes at least two model components developed from Earth science: seismic-source and ground-motion models. Although there is no...
Authors
M. C. Gerstenberger, W. Marzocchi, T. J. Allen, M. Pagani, Janice Adams, L. Danciu, Edward H. Field, H. Fujiwara, Nico Luco, K-F Ma, C. Meletti, Mark D. Petersen
Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions
The selection and weighting of ground‐motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using instrumental ground‐motion observations of horizontal peak ground acceleration (PGA) and 5%‐damped pseudospectral acceleration (0.02–10 s)...
Authors
Daniel E. McNamara, Emily Wolin, Peter M. Powers, Allison Shumway, Morgan P. Moschetti, John Rekoske, Eric M. Thompson, Charles Mueller, Mark D. Petersen
Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence
Instrumental ground‐motion recordings from the 2018 Anchorage, Alaska (Mw 7.1), earthquake sequence provide an independent data set allowing us to evaluate the predictive power of ground‐motion models (GMMs) for intraslab earthquakes associated with the Alaska subduction zone. In this study, we evaluate 15 candidate GMMs using instrumental ground‐motion observations of peak ground...
Authors
Daniel E. McNamara, Emily Wolin, Peter M. Powers, Allison Shumway, Morgan P. Moschetti, John Rekoske, Eric M. Thompson, Charles Mueller, Mark D. Petersen
The 2018 update of the US National Seismic Hazard Model: Overview of model and implications The 2018 update of the US National Seismic Hazard Model: Overview of model and implications
During 2017–2018, the National Seismic Hazard Model for the conterminous United States was updated as follows: (1) an updated seismicity catalog was incorporated, which includes new earthquakes that occurred from 2013 to 2017; (2) in the central and eastern United States (CEUS), new ground motion models were updated that incorporate updated median estimates, modified assessments of the...
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles Mueller, Morgan P. Moschetti, Arthur D. Frankel, Sanaz Rezaeian, Daniel E. McNamara, Nico Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor S. Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon Clayton, Edward H. Field, Yuehua Zeng
Improved implementation of rupture location uncertainty in fault displacement hazard assessment Improved implementation of rupture location uncertainty in fault displacement hazard assessment
This short note proposes an improvement to the implementation of uncertainty associated with rupture location from future earthquakes in probabilistic fault displacement hazard analysis. Location uncertainty leads to nonzero primary fault displacement near a mapped fault. With the improved implementation of location uncertainty, estimated fault displacement hazard at a given site is...
Authors
Rui Chen, Mark D. Petersen
New USGS map shows where damaging earthquakes are most likely to occur in US New USGS map shows where damaging earthquakes are most likely to occur in US
USGS scientists and our partners recently revealed the latest National Seismic Hazard Model, showing that nearly 75% of the United States could experience a damaging earthquake, emphasizing seismic hazards span a significant part of the country.