High‐resolution P‐ and S‐wavefield seismic investigations of a quick‐clay site in southwest of Sweden

IF 1.1 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Near Surface Geophysics Pub Date : 2023-08-31 DOI:10.1002/nsg.12269
Papadopoulou Myrto, Malehmir Alireza, Markovic Magdalena, Berglund Johan
{"title":"High‐resolution P‐ and S‐wavefield seismic investigations of a quick‐clay site in southwest of Sweden","authors":"Papadopoulou Myrto, Malehmir Alireza, Markovic Magdalena, Berglund Johan","doi":"10.1002/nsg.12269","DOIUrl":null,"url":null,"abstract":"Seismic investigations were performed at a site in the southwest of Sweden where major quick‐clay landslides have occurred in the past. Given the potential high risk of the area and the presence of medium‐sized infrastructures, the site posed a need for detailed investigations in a wide depth range and in high resolution. A high‐fold seismic survey was designed and conducted along two profiles using 1–2 m receiver and shot spacing in order to retrieve both P‐ and S‐wavefield seismic images from vertical component data. The data were analyzed combining first‐break traveltime tomography and surface‐wave analysis as well as P‐ and S‐wavefield reflection seismic imaging. Using the first breaks, P‐wave velocity (VP) models were estimated, indicating the bedrock topography along the profiles and the sediment characteristics. The S‐wave velocity (Vs) models were estimated from the surface waves and indicated areas of low shear strength. Combined with VP and Vs models, this permits the estimation of VP/VS, a parameter that can indicate areas with high water content, significant for the detection of quick clays and possible liquefaction issues. The results are integrated with the P‐ and S‐wave reflection seismic images and compared with other geophysical investigations such as magnetic and gravity data that were collected along the profiles.This article is protected by copyright. All rights reserved","PeriodicalId":49771,"journal":{"name":"Near Surface Geophysics","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Near Surface Geophysics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1002/nsg.12269","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Seismic investigations were performed at a site in the southwest of Sweden where major quick‐clay landslides have occurred in the past. Given the potential high risk of the area and the presence of medium‐sized infrastructures, the site posed a need for detailed investigations in a wide depth range and in high resolution. A high‐fold seismic survey was designed and conducted along two profiles using 1–2 m receiver and shot spacing in order to retrieve both P‐ and S‐wavefield seismic images from vertical component data. The data were analyzed combining first‐break traveltime tomography and surface‐wave analysis as well as P‐ and S‐wavefield reflection seismic imaging. Using the first breaks, P‐wave velocity (VP) models were estimated, indicating the bedrock topography along the profiles and the sediment characteristics. The S‐wave velocity (Vs) models were estimated from the surface waves and indicated areas of low shear strength. Combined with VP and Vs models, this permits the estimation of VP/VS, a parameter that can indicate areas with high water content, significant for the detection of quick clays and possible liquefaction issues. The results are integrated with the P‐ and S‐wave reflection seismic images and compared with other geophysical investigations such as magnetic and gravity data that were collected along the profiles.This article is protected by copyright. All rights reserved
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
瑞典西南部一个快粘土场地的高分辨率P波场和S波场地震调查
地震调查是在瑞典西南部的一个地点进行的,那里过去曾发生过重大的速粘土滑坡。考虑到该地区潜在的高风险和中型基础设施的存在,该地点需要进行大深度和高分辨率的详细调查。为了从垂直分量数据中获取P波场和S波场地震图像,设计并沿着两条剖面进行了高褶次地震调查,使用1-2 m的接收器和射击间隔。对这些数据进行了分析,结合了首波走时层析成像、面波分析以及P波和S波场反射地震成像。利用第一次断裂,估算了P波速度(VP)模型,显示了沿剖面的基岩地形和沉积物特征。S波速度(Vs)模型是根据表面波估计的,并指出了低剪切强度的区域。结合VP和Vs模型,可以估计VP/ Vs,这是一个可以指示高含水量区域的参数,对于检测速溶粘土和可能的液化问题具有重要意义。结果与P波和S波反射地震图像相结合,并与沿剖面收集的其他地球物理调查数据(如磁和重力数据)进行比较。这篇文章受版权保护。版权所有
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Near Surface Geophysics
Near Surface Geophysics 地学-地球化学与地球物理
CiteScore
3.60
自引率
12.50%
发文量
42
审稿时长
6-12 weeks
期刊介绍: Near Surface Geophysics is an international journal for the publication of research and development in geophysics applied to near surface. It places emphasis on geological, hydrogeological, geotechnical, environmental, engineering, mining, archaeological, agricultural and other applications of geophysics as well as physical soil and rock properties. Geophysical and geoscientific case histories with innovative use of geophysical techniques are welcome, which may include improvements on instrumentation, measurements, data acquisition and processing, modelling, inversion, interpretation, project management and multidisciplinary use. The papers should also be understandable to those who use geophysical data but are not necessarily geophysicists.
期刊最新文献
High‐resolution surface‐wave‐constrained mapping of sparse dynamic cone penetrometer tests Application of iterative elastic reverse time migration to shear horizontal ultrasonic echo data obtained at a concrete step specimen Innovative imaging of iron deposits using cross‐gradient joint inversion of potential field data with petrophysical correlation A fine‐tuning workflow for automatic first‐break picking with deep learning How to promote geophysics as a standard tool for geotechnical investigations
×
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