Mark Petersen (Former Employee)
Science and Products
Filter Total Items: 78
2018 and 2023 U. S. National Seismic Hazard Models 2018 and 2023 U. S. National Seismic Hazard Models
During 2017-2018, the National Seismic Hazard Model (NSHM) was updated by incorporating (1) new median ground motion models, new estimates of their epistemic uncertainties and aleatory variabilities, and new soil amplification factors for the central and eastern U.S., (2) amplification of long-period ground motions in deep sedimentary basins in the Los Angeles, San Francisco, Seattle...
Authors
Mark D. Petersen, Allison M. Shumway, Peter M. Powers, Charles Mueller, Morgan P. Moschetti, Arthur D. Frankel, Sanaz Rezaeian, Daniel McNamara, Nico Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor S. Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon S. Clayton, Edward H. Field, Yuehua Zeng
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 M. 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 M. 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 M. 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 S. 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
Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S. Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.
Ground motion model (GMM) selection and weighting introduces a significant source of uncertainty in United States Geological Survey (USGS) seismic hazard models. The increase in moderate moment magnitude induced earthquakes (Mw 4 to 5.8) in Oklahoma and Kansas since 2009, due to increased wastewater injection related to oil and gas production (Keranen et al., 2013; 2014; Weingarten et al...
Authors
Daniel E. McNamara, Mark D. Petersen, Eric M. Thompson, Peter M. Powers, Allison M. Shumway, Susan M. Hoover, Morgan P. Moschetti, Emily Wolin
Fault displacement hazard for strike-slip faults Fault displacement hazard for strike-slip faults
In this paper we summarize data, methods, and models developed for a probabilistic assessment of fault displacement hazards across the U.S. We compare earthquake displacement data and empirical fault displacement models that have been developed for normal faults, strike-slip faults, and reverse faults. In general, the data and models are similar near the center of the fault for the three...
Authors
Mark D. Petersen, Rui Chen
Preliminary 2018 national seismic hazard model for the conterminous United States Preliminary 2018 national seismic hazard model for the conterminous United States
The 2014 U.S. Geological Survey national seismic hazard model for the conterminous U.S. will be updated in 2018 and 2020 to coincide with the Building Seismic Safety Council’s Project 17 timeline for development of new building code design criteria. The two closely timed updates are planned to allow more time for the Provisions Update Committee to analyze the consequences of the hazard...
Authors
Mark D. Petersen, Allison M. Shumway, Peter M. Powers, Charles Mueller, Sanaz Rezaeian, Morgan P. Moschetti, Daniel E. McNamara, Eric M. Thompson, Oliver S. Boyd, Nico Luco, Susan M. Hoover, Kenneth S. Rukstales
Additional period and site class maps for the 2014 National Seismic Hazard Model for the conterminous United States Additional period and site class maps for the 2014 National Seismic Hazard Model for the conterminous United States
The 2014 update of the U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) for the conterminous United States (2014 NSHM; Petersen and others, 2014, 2015) included probabilistic ground motion maps for 2 percent and 10 percent probabilities of exceedance in 50 years, derived from seismic hazard curves for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral...
Authors
Allison M. Shumway, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian
The science, engineering applications, and policy implications of simulation-based PSHA The science, engineering applications, and policy implications of simulation-based PSHA
We summarize scientific methods for developing probabilistic seismic hazard assessments from 3-D earthquake ground motion simulations, describe current use of simulated ground motions for engineering applications, and discuss on-going efforts to incorporate these effects in the U.S. national seismic hazard model. The 3-D simulations provide important, additional information about...
Authors
Morgan P. Moschetti, Sandra P. Chang, C.B Crouse, Arthur D. Frankel, Robert Graves, H Puangnak, Nico Luco, Christine A. Goulet, Sanaz Rezaeian, Allison M. Shumway, Peter M. Powers, Mark D. Petersen, Scott Callaghan, T.H. Jordan, Kevin R. Milner
2018 one‐year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes 2018 one‐year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes
This article describes the U.S. Geological Survey (USGS) 2018 one‐year probabilistic seismic hazard forecast for the central and eastern United States from induced and natural earthquakes. For consistency, the updated 2018 forecast is developed using the same probabilistic seismicity‐based methodology as applied in the two previous forecasts. Rates of earthquakes across the United States...
Authors
Mark D. Petersen, Charles Mueller, Morgan P. Moschetti, Susan M. Hoover, Kenneth S. Rukstales, Daniel E. McNamara, Robert A. Williams, Allison M. Shumway, Peter M. Powers, Paul S. Earle, Andrea L. Llenos, Andrew J. Michael, Justin L. Rubinstein, Jack Norbeck, Elizabeth S. Cochran
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: 78
2018 and 2023 U. S. National Seismic Hazard Models 2018 and 2023 U. S. National Seismic Hazard Models
During 2017-2018, the National Seismic Hazard Model (NSHM) was updated by incorporating (1) new median ground motion models, new estimates of their epistemic uncertainties and aleatory variabilities, and new soil amplification factors for the central and eastern U.S., (2) amplification of long-period ground motions in deep sedimentary basins in the Los Angeles, San Francisco, Seattle...
Authors
Mark D. Petersen, Allison M. Shumway, Peter M. Powers, Charles Mueller, Morgan P. Moschetti, Arthur D. Frankel, Sanaz Rezaeian, Daniel McNamara, Nico Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor S. Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon S. Clayton, Edward H. Field, Yuehua Zeng
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 M. 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 M. 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 M. 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 S. 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
Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S. Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.
Ground motion model (GMM) selection and weighting introduces a significant source of uncertainty in United States Geological Survey (USGS) seismic hazard models. The increase in moderate moment magnitude induced earthquakes (Mw 4 to 5.8) in Oklahoma and Kansas since 2009, due to increased wastewater injection related to oil and gas production (Keranen et al., 2013; 2014; Weingarten et al...
Authors
Daniel E. McNamara, Mark D. Petersen, Eric M. Thompson, Peter M. Powers, Allison M. Shumway, Susan M. Hoover, Morgan P. Moschetti, Emily Wolin
Fault displacement hazard for strike-slip faults Fault displacement hazard for strike-slip faults
In this paper we summarize data, methods, and models developed for a probabilistic assessment of fault displacement hazards across the U.S. We compare earthquake displacement data and empirical fault displacement models that have been developed for normal faults, strike-slip faults, and reverse faults. In general, the data and models are similar near the center of the fault for the three...
Authors
Mark D. Petersen, Rui Chen
Preliminary 2018 national seismic hazard model for the conterminous United States Preliminary 2018 national seismic hazard model for the conterminous United States
The 2014 U.S. Geological Survey national seismic hazard model for the conterminous U.S. will be updated in 2018 and 2020 to coincide with the Building Seismic Safety Council’s Project 17 timeline for development of new building code design criteria. The two closely timed updates are planned to allow more time for the Provisions Update Committee to analyze the consequences of the hazard...
Authors
Mark D. Petersen, Allison M. Shumway, Peter M. Powers, Charles Mueller, Sanaz Rezaeian, Morgan P. Moschetti, Daniel E. McNamara, Eric M. Thompson, Oliver S. Boyd, Nico Luco, Susan M. Hoover, Kenneth S. Rukstales
Additional period and site class maps for the 2014 National Seismic Hazard Model for the conterminous United States Additional period and site class maps for the 2014 National Seismic Hazard Model for the conterminous United States
The 2014 update of the U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) for the conterminous United States (2014 NSHM; Petersen and others, 2014, 2015) included probabilistic ground motion maps for 2 percent and 10 percent probabilities of exceedance in 50 years, derived from seismic hazard curves for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral...
Authors
Allison M. Shumway, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian
The science, engineering applications, and policy implications of simulation-based PSHA The science, engineering applications, and policy implications of simulation-based PSHA
We summarize scientific methods for developing probabilistic seismic hazard assessments from 3-D earthquake ground motion simulations, describe current use of simulated ground motions for engineering applications, and discuss on-going efforts to incorporate these effects in the U.S. national seismic hazard model. The 3-D simulations provide important, additional information about...
Authors
Morgan P. Moschetti, Sandra P. Chang, C.B Crouse, Arthur D. Frankel, Robert Graves, H Puangnak, Nico Luco, Christine A. Goulet, Sanaz Rezaeian, Allison M. Shumway, Peter M. Powers, Mark D. Petersen, Scott Callaghan, T.H. Jordan, Kevin R. Milner
2018 one‐year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes 2018 one‐year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes
This article describes the U.S. Geological Survey (USGS) 2018 one‐year probabilistic seismic hazard forecast for the central and eastern United States from induced and natural earthquakes. For consistency, the updated 2018 forecast is developed using the same probabilistic seismicity‐based methodology as applied in the two previous forecasts. Rates of earthquakes across the United States...
Authors
Mark D. Petersen, Charles Mueller, Morgan P. Moschetti, Susan M. Hoover, Kenneth S. Rukstales, Daniel E. McNamara, Robert A. Williams, Allison M. Shumway, Peter M. Powers, Paul S. Earle, Andrea L. Llenos, Andrew J. Michael, Justin L. Rubinstein, Jack Norbeck, Elizabeth S. Cochran
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.