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Dive into the research topics where Morgan P. Moschetti is active.

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Featured researches published by Morgan P. Moschetti.


Earthquake Spectra | 2015

The 2014 United States National Seismic Hazard Model

Mark D. Petersen; Morgan P. Moschetti; Peter Powers; Charles S. Mueller; Kathleen M. Haller; Arthur Frankel; Yuehua Zeng; Sanaz Rezaeian; Stephen C. Harmsen; Oliver S. Boyd; Ned Field; Rui Chen; Kenneth S. Rukstales; Nico Luco; Russell L. Wheeler; Robert A. Williams; Anna H. Olsen

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 assessments of locations and magnitudes; earthquake adaptive smoothing models that more fully account for the spatial clustering of earthquakes; and 22 ground motion models, some of which consider more than double the shaking data applied previously. Alternative input models account for larger earthquakes, more complicated ruptures, and more varied ground shaking estimates than assumed in earlier models. The ground motions, for levels applied in building codes, differ from the previous version by less than ±10% over 60% of the country, but can differ by ±50% in localized areas. The models are incorporated in insurance rates, risk assessments, and as input into the U.S. building code provisions for earthquake ground shaking.


Earthquake Spectra | 2014

Implementation of NGA-West2 Ground Motion Models in the 2014 U.S. National Seismic Hazard Maps

Sanaz Rezaeian; Mark D. Petersen; Morgan P. Moschetti; Peter Powers; Stephen C. Harmsen; Arthur Frankel

The U.S. National Seismic Hazard Maps (NSHMs) have been an important component of seismic design regulations in the United States for the past several decades. These maps present earthquake ground shaking intensities at specified probabilities of being exceeded over a 50-year time period. The previous version of the NSHMs was developed in 2008; during 2012 and 2013, scientists at the U.S. Geological Survey have been updating the maps based on their assessment of the “best available science,” resulting in the 2014 NSHMs. The update includes modifications to the seismic source models and the ground motion models (GMMs) for sites across the conterminous United States. This paper focuses on updates in the Western United States (WUS) due to the use of new GMMs for shallow crustal earthquakes in active tectonic regions developed by the Next Generation Attenuation (NGA-West2) project. Individual GMMs, their weighted combination, and their impact on the hazard maps relative to 2008 are discussed. In general, the combined effects of lower medians and increased standard deviations in the new GMMs have caused only small changes, within 5–20%, in the probabilistic ground motions for most sites across the WUS compared to the 2008 NSHMs.


Earthquake Spectra | 2015

Ground motion models used in the 2014 U.S. National Seismic Hazard Maps

Sanaz Rezaeian; Mark D. Petersen; Morgan P. Moschetti

The National Seismic Hazard Maps (NSHMs) are an important component of seismic design regulations in the United States. This paper compares hazard using the new suite of ground motion models (GMMs) relative to hazard using the suite of GMMs applied in the previous version of the maps. The new source characterization models are used for both cases. A previous paper (Rezaeian et al. 2014) discussed the five NGA-West2 GMMs used for shallow crustal earthquakes in the Western United States (WUS), which are also summarized here. Our focus in this paper is on GMMs for earthquakes in stable continental regions in the Central and Eastern United States (CEUS), as well as subduction interface and deep intraslab earthquakes. We consider building code hazard levels for peak ground acceleration (PGA), 0.2-s, and 1.0-s spectral accelerations (SAs) on uniform firm-rock site conditions. The GMM modifications in the updated version of the maps created changes in hazard within 5% to 20% in WUS; decreases within 5% to 20% in CEUS; changes within 5% to 15% for subduction interface earthquakes; and changes involving decreases of up to 50% and increases of up to 30% for deep intraslab earthquakes for most U.S. sites. These modifications were combined with changes resulting from modifications in the source characterization models to obtain the new hazard maps.


Earthquake Spectra | 2015

Seismic Source Characterization for the 2014 Update of the U.S. National Seismic Hazard Model

Morgan P. Moschetti; Peter M. Powers; Mark D. Petersen; Oliver S. Boyd; Rui Chen; Edward H. Field; Arthur Frankel; Kathleen M. Haller; Stephen C. Harmsen; Charles S. Mueller; Russell L. Wheeler; Yuehua Zeng

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 earthquake occurrence and state of practice for seismic hazard analyses. We review the SSC parameterization and describe the methods used to estimate earthquake rates, magnitudes, locations, and geometries for all seismic source models, with an emphasis on new source model components. We highlight the effects that two new model components—incorporation of slip rates from combined geodetic-geologic inversions and the incorporation of adaptively smoothed seismicity models—have on probabilistic ground motions, because these sources span multiple regions of the conterminous United States and provide important additional epistemic uncertainty for the 2014 NSHM.


Earthquake Spectra | 2015

2014 Update of the Pacific Northwest Portion of the U.S. National Seismic Hazard Maps

Arthur Frankel; Rui Chen; Mark D. Petersen; Morgan P. Moschetti; Brian L. Sherrod

Several aspects of the earthquake characterization were changed for the Pacific Northwest portion of the 2014 update of the national seismic hazard maps, reflecting recent scientific findings. New logic trees were developed for the recurrence parameters of M8-9 earthquakes on the Cascadia subduction zone (CSZ) and for the eastern edge of their rupture zones. These logic trees reflect recent findings of additional M8 CSZ earthquakes using offshore deposits of turbidity flows and onshore tsunami deposits and subsidence. These M8 earthquakes each rupture a portion of the CSZ and occur in the time periods between M9 earthquakes that have an average recurrence interval of about 500 years. The maximum magnitude was increased for deep intraslab earthquakes. An areal source zone to account for the possibility of deep earthquakes under western Oregon was expanded. The western portion of the Tacoma fault was added to the hazard maps.


Bulletin of the Seismological Society of America | 2015

A Long-Term Earthquake Rate Model for the Central and Eastern United States from Smoothed Seismicity

Morgan P. Moschetti

Abstract I present a long-term earthquake rate model for the central and eastern United States from adaptive smoothed seismicity. By employing pseudoprospective likelihood testing (L-test), I examined the effects of fixed and adaptive smoothing methods and the effects of catalog duration and composition on the ability of the models to forecast the spatial distribution of recent earthquakes. To stabilize the adaptive smoothing method for regions of low seismicity, I introduced minor modifications to the way that the adaptive smoothing distances are calculated. Across all smoothed seismicity models, the use of adaptive smoothing and the use of earthquakes from the recent part of the catalog optimizes the likelihood for tests with M ≥2.7 and M ≥4.0 earthquake catalogs. The smoothed seismicity models optimized by likelihood testing with M ≥2.7 catalogs also produce the highest likelihood values for M ≥4.0 likelihood testing, thus substantiating the hypothesis that the locations of moderate-size earthquakes can be forecast by the locations of smaller earthquakes. The likelihood test does not, however, maximize the fraction of earthquakes that are better forecast than a seismicity rate model with uniform rates in all cells. In this regard, fixed smoothing models perform better than adaptive smoothing models. The preferred model of this study is the adaptive smoothed seismicity model, based on its ability to maximize the joint likelihood of predicting the locations of recent small-to-moderate-size earthquakes across eastern North America. The preferred rate model delineates 12 regions where the annual rate of M ≥5 earthquakes exceeds 2×10 −3 . Although these seismic regions have been previously recognized, the preferred forecasts are more spatially concentrated than the rates from fixed smoothed seismicity models, with rate increases of up to a factor of 10 near clusters of high seismic activity. Online Material: Figures of minimum-magnitude determination, b -value estimation, and maps of earthquake rate and forecasts, and tables of optimized neighbor numbers and smoothing distances.


Earthquake Spectra | 2015

Seismic hazard in the Nation's breadbasket

Oliver S. Boyd; Kathleen M. Haller; Nicolas Luco; Morgan P. Moschetti; Charles S. Mueller; Mark D. Petersen; Sanaz Rezaeian; Justin L. Rubinstein

The USGS National Seismic Hazard Maps were updated in 2014 and included several important changes for the central United States (CUS). Background seismicity sources were improved using a new moment-magnitude-based catalog; a new adaptive, nearest-neighbor smoothing kernel was implemented; and maximum magnitudes for background sources were updated. Areal source zones developed by the Central and Eastern United States Seismic Source Characterization for Nuclear Facilities project were simplified and adopted. The weighting scheme for ground motion models was updated, giving more weight to models with a faster attenuation with distance compared to the previous maps. Overall, hazard changes (2% probability of exceedance in 50 years, across a range of ground-motion frequencies) were smaller than 10% in most of the CUS relative to the 2008 USGS maps despite new ground motion models and their assigned logic tree weights that reduced the probabilistic ground motions by 5–20%.


Earthquake Spectra | 2015

Seismic hazard in the eastern United States

Charles S. Mueller; Oliver S. Boyd; Mark D. Petersen; Morgan P. Moschetti; Sanaz Rezaeian; Allison M. Shumway

The U.S. Geological Survey seismic hazard maps for the central and eastern United States were updated in 2014. We analyze results and changes for the eastern part of the region. Ratio maps are presented, along with tables of ground motions and deaggregations for selected cities. The Charleston fault model was revised, and a new fault source for Charlevoix was added. Background seismicity sources utilized an updated catalog, revised completeness and recurrence models, and a new adaptive smoothing procedure. Maximum-magnitude models and ground motion models were also updated. Broad, regional hazard reductions of 5%–20% are mostly attributed to new ground motion models with stronger near-source attenuation. The revised Charleston fault geometry redistributes local hazard, and the new Charlevoix source increases hazard in northern New England. Strong increases in mid- to high-frequency hazard at some locations—for example, southern New Hampshire, central Virginia, and eastern Tennessee—are attributed to updat...


Earthquake Spectra | 2015

Seismic Hazard in the Intermountain West

Kathleen M. Haller; Morgan P. Moschetti; Charles S. Mueller; Sanaz Rezaeian; Mark D. Petersen; Yuehua Zeng

The 2014 national seismic-hazard model for the conterminous United States incorporates new scientific results and important model adjustments. The current model includes updates to the historical catalog, which is spatially smoothed using both fixed-length and adaptive-length smoothing kernels. Fault-source characterization improved by adding faults, revising rates of activity, and incorporating new results from combined inversions of geologic and geodetic data. The update also includes a new suite of published ground motion models. Changes in probabilistic ground motion are generally less than 10% in most of the Intermountain West compared to the prior assessment, and ground-motion hazard in four Intermountain West cities illustrates the range and magnitude of change in the region. Seismic hazard at reference sites in Boise and Reno increased as much as 10%, whereas hazard in Salt Lake City decreased 5–6%. The largest change was in Las Vegas, where hazard increased 32–35%.


Geophysical Research Letters | 2016

Likelihood testing of seismicity‐based rate forecasts of induced earthquakes in Oklahoma and Kansas

Morgan P. Moschetti; Susan M. Hoover; Charles S. Mueller

Likelihood testing of induced earthquakes in Oklahoma and Kansas has identified the parameters that optimize the forecasting ability of smoothed seismicity models and quantified the recent temporal stability of the spatial seismicity patterns. Use of the most recent 1 year period of earthquake data and use of 10–20 km smoothing distances produced the greatest likelihood. The likelihood that the locations of January–June 2015 earthquakes were consistent with optimized forecasts decayed with increasing elapsed time between the catalogs used for model development and testing. Likelihood tests with two additional sets of earthquakes from 2014 exhibit a strong sensitivity of the rate of decay to the smoothing distance. Marked reductions in likelihood are caused by the nonstationarity of the induced earthquake locations. Our results indicate a multiple-fold benefit from smoothed seismicity models in developing short-term earthquake rate forecasts for induced earthquakes in Oklahoma and Kansas, relative to the use of seismic source zones.

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Charles S. Mueller

United States Geological Survey

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Sanaz Rezaeian

United States Geological Survey

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Oliver S. Boyd

United States Geological Survey

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Kathleen M. Haller

United States Geological Survey

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Kenneth S. Rukstales

United States Geological Survey

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Susan M. Hoover

United States Geological Survey

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Arthur Frankel

United States Geological Survey

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Justin L. Rubinstein

United States Geological Survey

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Yuehua Zeng

United States Geological Survey

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