Ground‐Motion Prediction Equations for Shallow Crustal and Upper‐Mantle Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions

地质学 衰减 地震学 大地测量学 地幔(地质学) 简单(哲学) 地球物理学 地震动 物理 认识论 光学 哲学
作者
John X. Zhao,Shuanglin Zhou,Jun Zhou,Zhao Chen,Heng Zhang,Yingbin Zhang,Pingjun Gao,Xiaowen Lan,David A. Rhoades,Yoshimitsu Fukushima,Paul Somerville,Kojiro Irikura
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society of America]
卷期号:106 (4): 1552-1569 被引量:88
标识
DOI:10.1785/0120150063
摘要

In this article, ground‐motion prediction equations (GMPEs) based on the horizontal components of the strong‐motion records from shallow crustal and upper‐mantle earthquakes in Japan are presented. We assembled a large dataset from earthquakes with a moment magnitude ( M w) over 4.9 and a reliable earthquake category (the tectonic location of earthquakes) up to the end of 2012. The GMPEs were based on a set of simple geometric attenuation functions. A bilinear magnitude‐scaling function hinged at M w 7.1 was adopted, with the scaling rates for large events being much smaller than those for the smaller events. Site classes based on site period were used as site terms, and nonlinear site terms were included. We modeled the effect of volcanic zones using an anelastic attenuation coefficient applied to a horizontal portion of the seismic‐wave travel distance within volcanic zones. Most strong‐motion records in our dataset are from stations with a measured shear‐wave velocity profile down to engineering bedrock. A small number of records are from stations with inferred site classes using the response spectral ratio of the horizontal‐to‐vertical components or geologic description of the surface soil layers. We tested the effect of site information quality by comparing the goodness‐of‐fit parameters from the model with and without the sites with inferred site classes. Our results suggest that the site information quality made a significant difference for spectral periods over 0.7 s, that is, the exclusion of sites with inferred site classes improves the model fit significantly. The within‐event residuals were approximately separated into within‐site and between‐site components, and the corresponding standard deviations were calculated. The approximate separation allows for the possibility of adopting different standard deviations for different site classes in a probabilistic seismic‐hazard analysis if desired. Online Material: References for fault rupture plane models, earthquake records and volcanic zones information, illustration of site information quality effect, standard deviations for between‐event, within‐event, between‐site and within‐site residual, and the distribution of between‐event and within‐event residuals.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
迷路博完成签到,获得积分10
2秒前
2秒前
Yola完成签到,获得积分10
3秒前
二尖瓣后叶完成签到,获得积分10
4秒前
junze完成签到,获得积分10
4秒前
5秒前
量子星尘发布了新的文献求助10
8秒前
8秒前
Orange应助lsy采纳,获得10
9秒前
等待面包发布了新的文献求助10
10秒前
笨笨摇伽完成签到,获得积分10
10秒前
盼夏发布了新的文献求助30
12秒前
大胆的忆寒完成签到 ,获得积分10
12秒前
echo完成签到 ,获得积分10
13秒前
Huco完成签到,获得积分10
13秒前
13秒前
sztao完成签到,获得积分10
14秒前
yuzhihui发布了新的文献求助10
14秒前
假装有昵称完成签到,获得积分10
15秒前
清风明月完成签到,获得积分10
16秒前
17秒前
传奇3应助火星上安萱采纳,获得10
17秒前
嘟嘟豆806完成签到 ,获得积分10
18秒前
风生完成签到,获得积分10
18秒前
吴子冰发布了新的文献求助10
19秒前
20秒前
21秒前
等待面包完成签到,获得积分10
21秒前
22秒前
23秒前
马博的司机完成签到,获得积分10
24秒前
25秒前
25秒前
27秒前
量子星尘发布了新的文献求助10
27秒前
29秒前
ling发布了新的文献求助10
29秒前
吴子冰发布了新的文献求助10
29秒前
小萝卜完成签到,获得积分10
30秒前
李健应助Sugaryeah采纳,获得10
30秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
Continuum Thermodynamics and Material Modelling 2000
The Oxford Encyclopedia of the History of Modern Psychology 1500
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
The Martian climate revisited: atmosphere and environment of a desert planet 800
Learning to Listen, Listening to Learn 520
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3866106
求助须知:如何正确求助?哪些是违规求助? 3408685
关于积分的说明 10659153
捐赠科研通 3132885
什么是DOI,文献DOI怎么找? 1727776
邀请新用户注册赠送积分活动 832501
科研通“疑难数据库(出版商)”最低求助积分说明 780298