加利福尼亚大峡谷、内华达州里诺市和俄勒冈州波特兰市的实证地动盆地响应

IF 3.1 2区 工程技术 Q2 ENGINEERING, CIVIL Earthquake Spectra Pub Date : 2024-04-12 DOI:10.1177/87552930241237250
Sean K Ahdi, Brad T Aagaard, Morgan P Moschetti, Grace A Parker, Oliver S Boyd, William J Stephenson
{"title":"加利福尼亚大峡谷、内华达州里诺市和俄勒冈州波特兰市的实证地动盆地响应","authors":"Sean K Ahdi, Brad T Aagaard, Morgan P Moschetti, Grace A Parker, Oliver S Boyd, William J Stephenson","doi":"10.1177/87552930241237250","DOIUrl":null,"url":null,"abstract":"We assess how well the Next-Generation Attenuation-West 2 (NGA-West2) ground-motion models (GMMs), which are used in the US Geological Survey’s (USGS) National Seismic Hazard Model (NSHM) for crustal faults in the western United States, predict the observed basin response in the Great Valley of California, the Reno basin in Nevada, and Portland and Tualatin basins in Oregon. These GMMs rely on site parameters such as the time-averaged shear-wave velocity ( V<jats:sub>S</jats:sub>) in the upper 30 m of Earth’s crust ( V<jats:sub>S30</jats:sub>) and depths to 1.0 and 2.5 km/s shear-wave isosurfaces ( Z<jats:sub>1.0</jats:sub> and Z<jats:sub>2.5</jats:sub>) to capture basin effects and were developed using observations and simulations primarily from the Los Angeles region in southern California. Using ground-motion records from mostly small-to-moderate earthquakes and mixed-effects regression analysis, we find that the GMMs perform well with our local basin-depth models for the California Great Valley. With our local basin-depth models for Reno, the GMMs do not perform as well for this relatively shallow basin and exhibit little sensitivity to the basin parameters used in the NGA-West2 GMMs. We also find good performance for the local Z<jats:sub>1.0</jats:sub> model across the Portland region, whereas the local Z<jats:sub>2.5</jats:sub> model provides little predictive power except at sites in the deepest part of the Tualatin basin. Additional work could improve the performance of the site and basin terms in the NGA-West2 GMMs for regions with geologic structure different than the deep basins in southern California and the Great Valley. In addition, we find significant discrepancies among the GMMs in how the uncertainty in the ground motion varies with basin depth and pseudospectral period. Our results can help guide seismic hazard analyses on whether to include these local basin-depth models.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":"59 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Empirical ground-motion basin response in the California Great Valley, Reno, Nevada, and Portland, Oregon\",\"authors\":\"Sean K Ahdi, Brad T Aagaard, Morgan P Moschetti, Grace A Parker, Oliver S Boyd, William J Stephenson\",\"doi\":\"10.1177/87552930241237250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We assess how well the Next-Generation Attenuation-West 2 (NGA-West2) ground-motion models (GMMs), which are used in the US Geological Survey’s (USGS) National Seismic Hazard Model (NSHM) for crustal faults in the western United States, predict the observed basin response in the Great Valley of California, the Reno basin in Nevada, and Portland and Tualatin basins in Oregon. These GMMs rely on site parameters such as the time-averaged shear-wave velocity ( V<jats:sub>S</jats:sub>) in the upper 30 m of Earth’s crust ( V<jats:sub>S30</jats:sub>) and depths to 1.0 and 2.5 km/s shear-wave isosurfaces ( Z<jats:sub>1.0</jats:sub> and Z<jats:sub>2.5</jats:sub>) to capture basin effects and were developed using observations and simulations primarily from the Los Angeles region in southern California. Using ground-motion records from mostly small-to-moderate earthquakes and mixed-effects regression analysis, we find that the GMMs perform well with our local basin-depth models for the California Great Valley. With our local basin-depth models for Reno, the GMMs do not perform as well for this relatively shallow basin and exhibit little sensitivity to the basin parameters used in the NGA-West2 GMMs. We also find good performance for the local Z<jats:sub>1.0</jats:sub> model across the Portland region, whereas the local Z<jats:sub>2.5</jats:sub> model provides little predictive power except at sites in the deepest part of the Tualatin basin. Additional work could improve the performance of the site and basin terms in the NGA-West2 GMMs for regions with geologic structure different than the deep basins in southern California and the Great Valley. In addition, we find significant discrepancies among the GMMs in how the uncertainty in the ground motion varies with basin depth and pseudospectral period. Our results can help guide seismic hazard analyses on whether to include these local basin-depth models.\",\"PeriodicalId\":11392,\"journal\":{\"name\":\"Earthquake Spectra\",\"volume\":\"59 1\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earthquake Spectra\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1177/87552930241237250\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earthquake Spectra","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/87552930241237250","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

摘要

我们评估了用于美国地质调查局(USGS)针对美国西部地壳断层的国家地震危险性模型(NSHM)的下一代衰减-西部 2(NGA-West2)地动模型(GMMs)对加利福尼亚大峡谷、内华达州里诺盆地以及俄勒冈州波特兰和图拉丁盆地观测到的盆地响应的预测效果。这些 GMM 依靠地壳上部 30 米处的时间平均剪切波速度(VS)和 1.0 和 2.5 千米/秒剪切波等面深度(Z1.0 和 Z2.5)等场地参数来捕捉盆地效应,并主要利用加利福尼亚南部洛杉矶地区的观测数据和模拟结果进行开发。利用大部分中小规模地震的地动记录和混合效应回归分析,我们发现 GMM 与加利福尼亚大峡谷的当地海盆深度模型配合使用效果良好。对于里诺的本地盆地深度模型,GMMs 在这个相对较浅的盆地中表现不佳,对 NGA-West2 GMMs 中使用的盆地参数几乎不敏感。我们还发现,波特兰地区的本地 Z1.0 模型性能良好,而本地 Z2.5 模型除了在图拉丁盆地最深处的站点外,几乎没有预测能力。对于地质结构不同于南加州和大峡谷深盆地的地区,NGA-West2 GMMs 中的站点和盆地项的性能还需进一步改进。此外,我们还发现,在地面运动的不确定性如何随盆地深度和伪谱周期变化方面,各 GMM 之间存在显著差异。我们的研究结果有助于指导地震灾害分析,决定是否纳入这些局部盆地深度模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Empirical ground-motion basin response in the California Great Valley, Reno, Nevada, and Portland, Oregon
We assess how well the Next-Generation Attenuation-West 2 (NGA-West2) ground-motion models (GMMs), which are used in the US Geological Survey’s (USGS) National Seismic Hazard Model (NSHM) for crustal faults in the western United States, predict the observed basin response in the Great Valley of California, the Reno basin in Nevada, and Portland and Tualatin basins in Oregon. These GMMs rely on site parameters such as the time-averaged shear-wave velocity ( VS) in the upper 30 m of Earth’s crust ( VS30) and depths to 1.0 and 2.5 km/s shear-wave isosurfaces ( Z1.0 and Z2.5) to capture basin effects and were developed using observations and simulations primarily from the Los Angeles region in southern California. Using ground-motion records from mostly small-to-moderate earthquakes and mixed-effects regression analysis, we find that the GMMs perform well with our local basin-depth models for the California Great Valley. With our local basin-depth models for Reno, the GMMs do not perform as well for this relatively shallow basin and exhibit little sensitivity to the basin parameters used in the NGA-West2 GMMs. We also find good performance for the local Z1.0 model across the Portland region, whereas the local Z2.5 model provides little predictive power except at sites in the deepest part of the Tualatin basin. Additional work could improve the performance of the site and basin terms in the NGA-West2 GMMs for regions with geologic structure different than the deep basins in southern California and the Great Valley. In addition, we find significant discrepancies among the GMMs in how the uncertainty in the ground motion varies with basin depth and pseudospectral period. Our results can help guide seismic hazard analyses on whether to include these local basin-depth models.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Earthquake Spectra
Earthquake Spectra 工程技术-工程:地质
CiteScore
8.40
自引率
12.00%
发文量
88
审稿时长
6-12 weeks
期刊介绍: Earthquake Spectra, the professional peer-reviewed journal of the Earthquake Engineering Research Institute (EERI), serves as the publication of record for the development of earthquake engineering practice, earthquake codes and regulations, earthquake public policy, and earthquake investigation reports. The journal is published quarterly in both printed and online editions in February, May, August, and November, with additional special edition issues. EERI established Earthquake Spectra with the purpose of improving the practice of earthquake hazards mitigation, preparedness, and recovery — serving the informational needs of the diverse professionals engaged in earthquake risk reduction: civil, geotechnical, mechanical, and structural engineers; geologists, seismologists, and other earth scientists; architects and city planners; public officials; social scientists; and researchers.
期刊最新文献
Deep-neural-network model for predicting ground motion parameters using earthquake horizontal-to-vertical spectral ratios Ground-motions site and event specificity: Insights from assessing a suite of simulated ground motions in the San Francisco Bay Area Analysis of site-response residuals from empirical ground-motion models to account for observed sedimentary basin effects in Wellington, New Zealand Modeling hospital resources based on global epidemiology after earthquake-related disasters Front Matter
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1