New Framework of Combining Observations with Topographic Slope to Estimate VS30 and Its Application on Building a VS30 Map for Mainland China

变异函数 钻孔 地质学 中国大陆 克里金 空间分析 地图学 统计 中国 地理 数学 遥感 古生物学 考古
作者
Jian Zhou,Xiaojun Li,Xuemin Tian,Guangyin Xu
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society of America]
卷期号:112 (4): 2049-2069 被引量:15
标识
DOI:10.1785/0120210227
摘要

ABSTRACT We propose a new framework of VS30 proxy based on Cokriging method and apply the framework to build a VS30 map for mainland China. This framework utilizes the VS30–topographic slope correlation in the cross-semivariogram to benefit VS30 estimation and has the following benefits: (1) the estimation results are consistent with the measurement data; (2) the estimation uncertainty can be represented by error variance at each unsampled location according to the spatial structure of VS30 and topographic slope; (3) the result map does not have artificial boundaries; and (4) the estimation results can reflect the spatial relation between VS30 and topographic slope and the spatial relation of local spatial environment of topographic slope. We quantify the performance of this framework and compare it with that of three other topographic slope-based VS30 proxy models, including original models developed from exogenous data and models developed from China local data. The result shows that the framework proposed in this article has the best performance. The framework is applied to 7797 borehole VS30 measurements to build a VS30 map for mainland China. The map can capture the high VS30 values in regions where the geological conditions are dominated by flat-lying rocks. Moreover, we consider the effect of sample bias that comes from oversampling of borehole profiles in flat terrain regions when applying borehole data in the proposed framework. We utilize the relation of VS30 and topographic slope to quantify this bias, and use a distance-related data spatial declustering method to eliminate it.
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
dg_fisher发布了新的文献求助10
刚刚
刚刚
刚刚
赵李锋发布了新的文献求助10
1秒前
Dd发布了新的文献求助10
1秒前
zyd发布了新的文献求助30
2秒前
酷波er应助Cyris采纳,获得10
3秒前
3秒前
wulalala完成签到,获得积分10
3秒前
Orange应助无赖真菌采纳,获得10
3秒前
大模型应助科研通管家采纳,获得10
3秒前
笨笨完成签到,获得积分10
3秒前
汉堡包应助科研通管家采纳,获得10
3秒前
脑洞疼应助科研通管家采纳,获得10
4秒前
今后应助科研通管家采纳,获得10
4秒前
CipherSage应助科研通管家采纳,获得10
4秒前
科研通AI2S应助科研通管家采纳,获得10
4秒前
慕青应助科研通管家采纳,获得20
4秒前
共享精神应助科研通管家采纳,获得10
4秒前
liao应助科研通管家采纳,获得10
4秒前
Akim应助科研通管家采纳,获得10
4秒前
酷波er应助科研通管家采纳,获得10
4秒前
科目三应助科研通管家采纳,获得10
4秒前
4秒前
李健应助科研通管家采纳,获得10
4秒前
5秒前
5秒前
YYY发布了新的文献求助10
5秒前
5秒前
liao应助科研通管家采纳,获得10
5秒前
5秒前
淡定的静槐完成签到,获得积分10
5秒前
小蘑菇应助科研通管家采纳,获得10
5秒前
Hello应助科研通管家采纳,获得10
5秒前
田様应助科研通管家采纳,获得10
5秒前
完美世界应助科研通管家采纳,获得10
5秒前
5秒前
完美世界应助科研通管家采纳,获得10
5秒前
星辰大海应助科研通管家采纳,获得10
5秒前
liao应助科研通管家采纳,获得10
5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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6064994
求助须知:如何正确求助?哪些是违规求助? 7897282
关于积分的说明 16319895
捐赠科研通 5207640
什么是DOI,文献DOI怎么找? 2786040
邀请新用户注册赠送积分活动 1768784
关于科研通互助平台的介绍 1647673