Correlation between Distributed Rayleigh Sensing (DRS) and Moisture Sensors as Indicators of Slope Instability

P. Clarkson, R. Crickmore, A. Godfrey, C. Minto, J. Chambers, B. Dashwood, D. Gunn, L. Jones, P. Meldrum, D. Morgan, A. Watlet, J. Whiteley
{"title":"Correlation between Distributed Rayleigh Sensing (DRS) and Moisture Sensors as Indicators of Slope Instability","authors":"P. Clarkson, R. Crickmore, A. Godfrey, C. Minto, J. Chambers, B. Dashwood, D. Gunn, L. Jones, P. Meldrum, D. Morgan, A. Watlet, J. Whiteley","doi":"10.3997/2214-4609.202120110","DOIUrl":null,"url":null,"abstract":"Summary This paper describes the verification of Distributed Rayleigh Sensing (DRS), traditionally associated with acoustic sensing, for monitoring low frequency activity on a slope prone to landslides that is used as the British Geological Survey’s landslide observatory at Hollin Hill, North Yorkshire, U.K. The observatory is monitored using a variety of geological survey instruments and provides a unique opportunity to compare measurement systems that have very different principles of operation. Previous studies of the slope have shown good correlation between the low frequency strain and temperature measured using the fibre with prior knowledge of the geology of the site and longer-term measurements made on more established geological survey instruments. This paper presents a more detailed comparison of measurements made on the DRS system over the winter of 2020/2021, with measurements of soil moisture content made on point sensors and estimates of ground movement measured using GPS marker posts. The DRS system is sensitive to multiple important indicators of slope instability and can monitor ground movement effectively. Areas of unstable ground can be clearly identified by the larger changes observed in the fibre output in those regions.","PeriodicalId":120362,"journal":{"name":"NSG2021 27th European Meeting of Environmental and Engineering Geophysics","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NSG2021 27th European Meeting of Environmental and Engineering Geophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.202120110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Summary This paper describes the verification of Distributed Rayleigh Sensing (DRS), traditionally associated with acoustic sensing, for monitoring low frequency activity on a slope prone to landslides that is used as the British Geological Survey’s landslide observatory at Hollin Hill, North Yorkshire, U.K. The observatory is monitored using a variety of geological survey instruments and provides a unique opportunity to compare measurement systems that have very different principles of operation. Previous studies of the slope have shown good correlation between the low frequency strain and temperature measured using the fibre with prior knowledge of the geology of the site and longer-term measurements made on more established geological survey instruments. This paper presents a more detailed comparison of measurements made on the DRS system over the winter of 2020/2021, with measurements of soil moisture content made on point sensors and estimates of ground movement measured using GPS marker posts. The DRS system is sensitive to multiple important indicators of slope instability and can monitor ground movement effectively. Areas of unstable ground can be clearly identified by the larger changes observed in the fibre output in those regions.
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
分布瑞利遥感(DRS)与水分传感器作为边坡失稳指标的相关性
本文描述了分布式瑞利传感(DRS)的验证,传统上与声学传感相关联,用于监测易发生滑坡的斜坡上的低频活动,该活动被用作英国地质调查局在北约克郡霍林山的滑坡观测站。英国天文台使用各种地质调查仪器进行监测,并提供了一个独特的机会来比较具有不同操作原理的测量系统。先前对斜坡的研究表明,低频应变与使用纤维测量的温度之间存在良好的相关性,并预先了解该地点的地质情况,并在更成熟的地质调查仪器上进行长期测量。本文对DRS系统在2020/2021年冬季的测量结果进行了更详细的比较,其中包括用点传感器测量的土壤水分含量和用GPS标记桩测量的地面运动估计。DRS系统对边坡失稳的多个重要指标敏感,可以有效地监测地面运动。通过观察到这些地区纤维输出的较大变化,可以清楚地识别出地面不稳定的地区。
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
自引率
0.00%
发文量
0
期刊最新文献
The forgotten shear-wave reflections in the compressional-wave surveys Data Fusion of ERT and Infiltration Tests, Using Bayesian Maximum Entropy to Mapping Saturated Hydraulic Conductivity Geophysical Investigations to Study the Celtic Open Settlement of la Peyrouse (Dordogne, France) The Abra Xcite AIP Modelling Case Study Verification of ERT Numerical Results of G11n and Traditional Configurations by Quasi Field Modelling
×
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