Estimating the Coseismic Displacement of Ground Motions with Fling-Step Effect Based on an Intrinsic Timescale Decomposition Algorithm

流离失所(心理学) 分解 算法 地质学 大地测量学 数学 化学 心理学 有机化学 心理治疗师
作者
Yulong Geng,Wuchuan Pu,Yaohui Xue,Fan Kong
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society of America]
卷期号:115 (2): 416-430 被引量:1
标识
DOI:10.1785/0120240206
摘要

ABSTRACT Strong ground motions resulting from the fling-step effect often exhibit significant static displacement. However, recorded ground-motion signals may display an unreasonable baseline offset because of contamination by low-frequency (LF) noise. Baseline correction is essential to eliminate this offset while preserving the coseismic displacement component. Many studies have generalized the two-stage offset model and proposed methods for empirically determining the starting times (t1 and t2) of the two stages with different levels of offset. To minimize errors caused by the subjective determination of t1 and t2, this article introduces a novel method for detecting optimal values of t1 and t2 and recovering the coseismic displacement of ground motions. The proposed approach uses an intrinsic timescale-decomposition-based filter to eliminate the LF offset component and introduces a quantitative index to identify the starting time points of the offset. After these time points are determined, the corresponding baseline offset is computed using the two-stage offset model. The effectiveness of this method is validated by comparing its results with the coseismic displacement data recorded by dense Global Positioning System networks during the 1999 Chi-Chi earthquake and the 2011 Tohoku earthquake. In addition, several existing empirical baseline correction methods are assessed. The results confirm that the proposed method effectively removes the baseline offset and accurately recovers coseismic displacement from strong-motion records.
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
赘婿应助Cc采纳,获得10
刚刚
打打应助沙克几十块采纳,获得10
刚刚
ww完成签到 ,获得积分10
刚刚
繁荣的紫发布了新的文献求助10
1秒前
默幻弦发布了新的文献求助10
1秒前
YiYi完成签到,获得积分10
1秒前
华凯完成签到,获得积分10
1秒前
1秒前
surfing发布了新的文献求助15
1秒前
solarrrrr完成签到,获得积分10
1秒前
小池同学完成签到,获得积分10
2秒前
2秒前
开朗芸遥发布了新的文献求助20
2秒前
2秒前
2秒前
2秒前
希望天下0贩的0应助XU采纳,获得10
2秒前
yangjinlong完成签到,获得积分10
3秒前
十七发布了新的文献求助50
3秒前
哈hhh完成签到 ,获得积分10
3秒前
3秒前
Wang完成签到,获得积分20
4秒前
4秒前
魔幻的枫叶完成签到,获得积分10
5秒前
Debbieee发布了新的文献求助10
5秒前
抵澳报了完成签到,获得积分10
5秒前
IceyCNZ完成签到,获得积分10
5秒前
221完成签到,获得积分10
6秒前
6秒前
思源应助奋斗丸子采纳,获得10
6秒前
6秒前
赵银志发布了新的文献求助10
6秒前
zhonghehe完成签到,获得积分10
7秒前
完美世界应助哇哈哈哈采纳,获得10
7秒前
Wang发布了新的文献求助10
7秒前
8秒前
8秒前
缥缈的初阳完成签到,获得积分10
8秒前
8秒前
顺心的飞飞完成签到,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
“美军军官队伍建设研究”系列(全册) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6385131
求助须知:如何正确求助?哪些是违规求助? 8198335
关于积分的说明 17340574
捐赠科研通 5438692
什么是DOI,文献DOI怎么找? 2876246
邀请新用户注册赠送积分活动 1852734
关于科研通互助平台的介绍 1697068