Peter M Powers, PhD
I am a research and development geophysicist specializing in probabilisitic seismic hazard analysis.
Science and Products
Filter Total Items: 25
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 acceleration an
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
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 associated
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles Mueller, Morgan P. Moschetti, Arthur Frankel, Sanaz Rezaeian, Daniel E. McNamara, Nicolas Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor S. Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon Clayton, Edward H. Field, Yuehua Zeng
Ground-motion amplification in Cook Inlet region, Alaska from intermediate-depth earthquakes, including the 2018 MW=7.1 Anchorage earthquake
We measure pseudospectral and peak ground motions from 44 intermediate‐depth Mw≥4.9 earthquakes in the Cook Inlet region of southern Alaska, including those from the 2018 Mw 7.1 earthquake near Anchorage, to identify regional amplification features (0.1–5 s period). Ground‐motion residuals are computed with respect to an empirical ground‐motion model for intraslab subduction earthquakes, and we
Authors
Morgan P. Moschetti, Eric M. Thompson, John Rekoske, Mike Hearne, Peter M. Powers, Daniel E. McNamara, Carl Tape
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., 2015;
Authors
Daniel E. McNamara, Mark D. Petersen, Eric M. Thompson, Peter M. Powers, Allison Shumway, Susan M. Hoover, Morgan P. Moschetti, Emily Wolin
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 model chang
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles Mueller, Sanaz Rezaeian, Morgan P. Moschetti, Daniel E. McNamara, Eric M. Thompson, Oliver S. Boyd, Nicolas Luco, Susan M. Hoover, Kenneth S. Rukstales
Ground motions from induced earthquakes in Oklahoma and Kansas
Improved predictions of earthquake ground motions are critical to advancing seismic hazard analyses and earthquake response. The high seismicity rate from 2009 to 2016 in Oklahoma and Kansas provides an extensive data set for examining the ground motions from these events. We evaluate the ability of three suites of ground‐motion prediction equations (GMPEs)—appropriate for modeling tectonic earthq
Authors
Morgan P. Moschetti, Eric M. Thompson, Peter M. Powers, Susan M. Hoover, Daniel E. McNamara
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 accelerations (S
Authors
Allison Shumway, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian
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 earthquake ground
Authors
Morgan P. Moschetti, Sandra P. Chang, C.B Crouse, Arthur Frankel, Robert Graves, H Puangnak, Nicolas Luco, Christine A. Goulet, Sanaz Rezaeian, Allison 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
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 M≥3.0 gre
Authors
Mark D. Petersen, Charles Mueller, Morgan P. Moschetti, Susan M. Hoover, Kenneth S. Rukstales, Daniel E. McNamara, Robert A. Williams, Allison Shumway, Peter M. Powers, Paul S. Earle, Andrea L. Llenos, Andrew J. Michael, Justin L. Rubinstein, Jack Norbeck, Elizabeth S. Cochran
A synoptic view of the Third Uniform California Earthquake Rupture Forecast (UCERF3)
Probabilistic forecasting of earthquake‐producing fault ruptures informs all major decisions aimed at reducing seismic risk and improving earthquake resilience. Earthquake forecasting models rely on two scales of hazard evolution: long‐term (decades to centuries) probabilities of fault rupture, constrained by stress renewal statistics, and short‐term (hours to years) probabilities of distributed s
Authors
Edward H. Field, Thomas H. Jordan, Morgan T. Page, Kevin R. Milner, Bruce E. Shaw, Timothy E. Dawson, Glenn Biasi, Thomas E. Parsons, Jeanne L. Hardebeck, Andrew J. Michael, Ray J. Weldon, Peter M. Powers, Kaj M. Johnson, Yuehua Zeng, Peter Bird, Karen Felzer, Nicholas van der Elst, Christopher Madden, Ramon Arrowsmith, Maximillan J. Werner, Wayne R. Thatcher
Seismic source characterization for the 2014 update of the U.S. National Seismic Hazard Model
We present the updated seismic source characterization (SSC) for the 2014 update of the National Seismic Hazard Model (NSHM) for the conterminous United States. Construction of the seismic source models employs the methodology that was developed for the 1996 NSHM but includes new and updated data, data types, source models, and source parameters that reflect the current state of knowledge of earth
Authors
Morgan P. Moschetti, Peter M. Powers, Mark D. Petersen, Oliver S. Boyd, Rui Chen, Edward H. Field, Arthur Frankel, Kathleen Haller, Stephen Harmsen, Charles S. Mueller, Russell Wheeler, Yuehua Zeng
The 2014 United States National Seismic Hazard Model
New seismic hazard maps have been developed for the conterminous United States using the latest data, models, and methods available for assessing earthquake hazard. The hazard models incorporate new information on earthquake rupture behavior observed in recent earthquakes; fault studies that use both geologic and geodetic strain rate data; earthquake catalogs through 2012 that include new assessme
Authors
Mark D. Petersen, Morgan P. Moschetti, Peter M. Powers, Charles Mueller, Kathleen Haller, Arthur Frankel, Yuehua Zeng, Sanaz Rezaeian, Stephen Harmsen, Oliver S. Boyd, Edward H. Field, Rui Chen, Kenneth S. Rukstales, Nicolas Luco, Russell Wheeler, Robert Williams, Anna H. Olsen
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: 25
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 acceleration an
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
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 associated
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles Mueller, Morgan P. Moschetti, Arthur Frankel, Sanaz Rezaeian, Daniel E. McNamara, Nicolas Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor S. Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon Clayton, Edward H. Field, Yuehua Zeng
Ground-motion amplification in Cook Inlet region, Alaska from intermediate-depth earthquakes, including the 2018 MW=7.1 Anchorage earthquake
We measure pseudospectral and peak ground motions from 44 intermediate‐depth Mw≥4.9 earthquakes in the Cook Inlet region of southern Alaska, including those from the 2018 Mw 7.1 earthquake near Anchorage, to identify regional amplification features (0.1–5 s period). Ground‐motion residuals are computed with respect to an empirical ground‐motion model for intraslab subduction earthquakes, and we
Authors
Morgan P. Moschetti, Eric M. Thompson, John Rekoske, Mike Hearne, Peter M. Powers, Daniel E. McNamara, Carl Tape
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., 2015;
Authors
Daniel E. McNamara, Mark D. Petersen, Eric M. Thompson, Peter M. Powers, Allison Shumway, Susan M. Hoover, Morgan P. Moschetti, Emily Wolin
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 model chang
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles Mueller, Sanaz Rezaeian, Morgan P. Moschetti, Daniel E. McNamara, Eric M. Thompson, Oliver S. Boyd, Nicolas Luco, Susan M. Hoover, Kenneth S. Rukstales
Ground motions from induced earthquakes in Oklahoma and Kansas
Improved predictions of earthquake ground motions are critical to advancing seismic hazard analyses and earthquake response. The high seismicity rate from 2009 to 2016 in Oklahoma and Kansas provides an extensive data set for examining the ground motions from these events. We evaluate the ability of three suites of ground‐motion prediction equations (GMPEs)—appropriate for modeling tectonic earthq
Authors
Morgan P. Moschetti, Eric M. Thompson, Peter M. Powers, Susan M. Hoover, Daniel E. McNamara
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 accelerations (S
Authors
Allison Shumway, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian
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 earthquake ground
Authors
Morgan P. Moschetti, Sandra P. Chang, C.B Crouse, Arthur Frankel, Robert Graves, H Puangnak, Nicolas Luco, Christine A. Goulet, Sanaz Rezaeian, Allison 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
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 M≥3.0 gre
Authors
Mark D. Petersen, Charles Mueller, Morgan P. Moschetti, Susan M. Hoover, Kenneth S. Rukstales, Daniel E. McNamara, Robert A. Williams, Allison Shumway, Peter M. Powers, Paul S. Earle, Andrea L. Llenos, Andrew J. Michael, Justin L. Rubinstein, Jack Norbeck, Elizabeth S. Cochran
A synoptic view of the Third Uniform California Earthquake Rupture Forecast (UCERF3)
Probabilistic forecasting of earthquake‐producing fault ruptures informs all major decisions aimed at reducing seismic risk and improving earthquake resilience. Earthquake forecasting models rely on two scales of hazard evolution: long‐term (decades to centuries) probabilities of fault rupture, constrained by stress renewal statistics, and short‐term (hours to years) probabilities of distributed s
Authors
Edward H. Field, Thomas H. Jordan, Morgan T. Page, Kevin R. Milner, Bruce E. Shaw, Timothy E. Dawson, Glenn Biasi, Thomas E. Parsons, Jeanne L. Hardebeck, Andrew J. Michael, Ray J. Weldon, Peter M. Powers, Kaj M. Johnson, Yuehua Zeng, Peter Bird, Karen Felzer, Nicholas van der Elst, Christopher Madden, Ramon Arrowsmith, Maximillan J. Werner, Wayne R. Thatcher
Seismic source characterization for the 2014 update of the U.S. National Seismic Hazard Model
We present the updated seismic source characterization (SSC) for the 2014 update of the National Seismic Hazard Model (NSHM) for the conterminous United States. Construction of the seismic source models employs the methodology that was developed for the 1996 NSHM but includes new and updated data, data types, source models, and source parameters that reflect the current state of knowledge of earth
Authors
Morgan P. Moschetti, Peter M. Powers, Mark D. Petersen, Oliver S. Boyd, Rui Chen, Edward H. Field, Arthur Frankel, Kathleen Haller, Stephen Harmsen, Charles S. Mueller, Russell Wheeler, Yuehua Zeng
The 2014 United States National Seismic Hazard Model
New seismic hazard maps have been developed for the conterminous United States using the latest data, models, and methods available for assessing earthquake hazard. The hazard models incorporate new information on earthquake rupture behavior observed in recent earthquakes; fault studies that use both geologic and geodetic strain rate data; earthquake catalogs through 2012 that include new assessme
Authors
Mark D. Petersen, Morgan P. Moschetti, Peter M. Powers, Charles Mueller, Kathleen Haller, Arthur Frankel, Yuehua Zeng, Sanaz Rezaeian, Stephen Harmsen, Oliver S. Boyd, Edward H. Field, Rui Chen, Kenneth S. Rukstales, Nicolas Luco, Russell Wheeler, Robert Williams, Anna H. Olsen
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.