Seismic hazards in Southern California : probable earthquakes, 1994 to 2024

We combine geodetic, geologic, and seismic information to estimate frequencies of damaging earthquakes in three types of seismotectonic zone. Type A zones contain faults for which paleoseismic data suffice to estimate conditional probabilities. Type B zones contain faults with insufficient data for...

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Main Author: Working group on California earthquake probabilities.
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/100722
http://hdl.handle.net/10220/9376
http://bssa.geoscienceworld.org/content/85/2/379.short
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1007222019-12-06T20:27:12Z Seismic hazards in Southern California : probable earthquakes, 1994 to 2024 Working group on California earthquake probabilities. DRNTU::Science::Geology::Volcanoes and earthquakes We combine geodetic, geologic, and seismic information to estimate frequencies of damaging earthquakes in three types of seismotectonic zone. Type A zones contain faults for which paleoseismic data suffice to estimate conditional probabilities. Type B zones contain faults with insufficient data for conditional probability analysis. Type C zones contain diverse or hidden faults. Each zone is assumed to have randomly distributed earthquakes plus characteristic earthquakes on specific faults. Our “cascade” model allows for multiple-segment earthquakes. Within each zone, distributed earthquakes are assumed uniform in time and space, with a truncated Gutenberg-Richter magnitude distribution. Thus, seismic hazard is defined by the characteristic earthquake rate, the rate of all distributed events, and the limiting (characteristic) magnitude. Limiting magnitudes are determined from fault lengths, while earthquake rates are determined by observed seismicity and seismic moment rate. We present a preferred seismic hazard model with lognormal recurrence and an alternate Poissonian model. The models predict 80 to 90% probability of an m ≧ 7 earthquake within southern California before 2024. The 17 January 1994 Northridge earthquake occurred within the 13% of southern California's area having the highest moment rate density. The probability of 0.2 g or greater shaking before 2024 exceeds 60% in the Ventura and San Bernardino areas, and 50% throughout the Transverse Ranges between Santa Barbara and San Bernardino. The predicted seismicity exceeds that observed historically. This may imply that (1) we underestimate the maximum magnitudes, (2) significant strain may be released aseismically, or (3) seismicity may have been anomalously low since 1850. 2013-03-11T08:29:27Z 2019-12-06T20:27:12Z 2013-03-11T08:29:27Z 2019-12-06T20:27:12Z 1994 1994 Journal Article Working Group on California Earthquake Probabilities. (1995). Seismic hazards in Southern California; probable earthquakes, 1994 to 2024. Bulletin of the Seismological Society of America, 85(2), 379-439. 0037-1106 https://hdl.handle.net/10356/100722 http://hdl.handle.net/10220/9376 http://bssa.geoscienceworld.org/content/85/2/379.short en Bulletin of the seismological society of America © 1994 Seismological Society of America
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Science::Geology::Volcanoes and earthquakes
spellingShingle DRNTU::Science::Geology::Volcanoes and earthquakes
Working group on California earthquake probabilities.
Seismic hazards in Southern California : probable earthquakes, 1994 to 2024
description We combine geodetic, geologic, and seismic information to estimate frequencies of damaging earthquakes in three types of seismotectonic zone. Type A zones contain faults for which paleoseismic data suffice to estimate conditional probabilities. Type B zones contain faults with insufficient data for conditional probability analysis. Type C zones contain diverse or hidden faults. Each zone is assumed to have randomly distributed earthquakes plus characteristic earthquakes on specific faults. Our “cascade” model allows for multiple-segment earthquakes. Within each zone, distributed earthquakes are assumed uniform in time and space, with a truncated Gutenberg-Richter magnitude distribution. Thus, seismic hazard is defined by the characteristic earthquake rate, the rate of all distributed events, and the limiting (characteristic) magnitude. Limiting magnitudes are determined from fault lengths, while earthquake rates are determined by observed seismicity and seismic moment rate. We present a preferred seismic hazard model with lognormal recurrence and an alternate Poissonian model. The models predict 80 to 90% probability of an m ≧ 7 earthquake within southern California before 2024. The 17 January 1994 Northridge earthquake occurred within the 13% of southern California's area having the highest moment rate density. The probability of 0.2 g or greater shaking before 2024 exceeds 60% in the Ventura and San Bernardino areas, and 50% throughout the Transverse Ranges between Santa Barbara and San Bernardino. The predicted seismicity exceeds that observed historically. This may imply that (1) we underestimate the maximum magnitudes, (2) significant strain may be released aseismically, or (3) seismicity may have been anomalously low since 1850.
format Article
author Working group on California earthquake probabilities.
author_facet Working group on California earthquake probabilities.
author_sort Working group on California earthquake probabilities.
title Seismic hazards in Southern California : probable earthquakes, 1994 to 2024
title_short Seismic hazards in Southern California : probable earthquakes, 1994 to 2024
title_full Seismic hazards in Southern California : probable earthquakes, 1994 to 2024
title_fullStr Seismic hazards in Southern California : probable earthquakes, 1994 to 2024
title_full_unstemmed Seismic hazards in Southern California : probable earthquakes, 1994 to 2024
title_sort seismic hazards in southern california : probable earthquakes, 1994 to 2024
publishDate 2013
url https://hdl.handle.net/10356/100722
http://hdl.handle.net/10220/9376
http://bssa.geoscienceworld.org/content/85/2/379.short
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