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片状剥落变形的远程热检测

Remote thermal detection of exfoliation sheet deformation.

作者信息

Guerin Antoine, Jaboyedoff Michel, Collins Brian D, Stock Greg M, Derron Marc-Henri, Abellán Antonio, Matasci Battista

机构信息

Risk Analysis Group, Institute of Earth Sciences, University of Lausanne, 1015 Lausanne, Switzerland.

US Geological Survey, Landslide Hazards Program, Moffett Field, CA 94035 USA.

出版信息

Landslides. 2021;18(3):865-879. doi: 10.1007/s10346-020-01524-1. Epub 2020 Oct 7.

DOI:10.1007/s10346-020-01524-1
PMID:33746675
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7936945/
Abstract

A growing body of research indicates that rock slope failures, particularly from exfoliating cliffs, are promoted by rock deformations induced by daily temperature cycles. Although previous research has described how these deformations occur, full three-dimensional monitoring of both the deformations and the associated temperature changes has not yet been performed. Here we use integrated terrestrial laser scanning (TLS) and infrared thermography (IRT) techniques to monitor daily deformations of two granitic exfoliating cliffs in Yosemite National Park (CA, USA). At one cliff, we employed TLS and IRT in conjunction with in situ instrumentation to confirm previously documented behavior of an exfoliated rock sheet, which experiences daily closing and opening of the exfoliation fracture during rock cooling and heating, respectively, with a few hours delay from the minimum and maximum temperatures. The most deformed portion of the sheet coincides with the area where both the fracture aperture and the temperature variations are greatest. With the general deformation and temperature relations established, we then employed IRT at a second cliff, where we remotely detected and identified 11 exfoliation sheets that displayed those general thermal relations. TLS measurements then subsequently confirmed the deformation patterns of these sheets showing that sheets with larger apertures are more likely to display larger thermal-related deformations. Our high-frequency monitoring shows how coupled TLS and IRT allows for remote detection of thermally induced deformations and, importantly, how IRT could potentially be used on its own to identify partially detached exfoliation sheets capable of large-scale deformation. These results offer a new and efficient approach for investigating potential rockfall sources on exfoliating cliffs.

摘要

越来越多的研究表明,岩石边坡失稳,尤其是片状剥落悬崖的失稳,是由日温度循环引起的岩石变形所导致的。尽管先前的研究已经描述了这些变形是如何发生的,但尚未对变形及相关温度变化进行全面的三维监测。在此,我们使用地面激光扫描(TLS)和红外热成像(IRT)集成技术,来监测美国加利福尼亚州优胜美地国家公园内两座花岗岩片状剥落悬崖的日变形情况。在其中一座悬崖,我们将TLS和IRT与现场仪器相结合,以确认先前记录的一块片状剥落岩石板的行为,该岩石板在岩石冷却和加热过程中,分别经历片状剥落裂缝的每日闭合和张开,且与最低和最高温度有几个小时的延迟。岩石板变形最大的部分与裂缝开度和温度变化最大的区域重合。在建立了一般变形与温度关系之后,我们随后在第二座悬崖使用IRT,在那里我们远程检测并识别出11个显示出这些一般热关系的片状剥落岩石板。随后的TLS测量证实了这些岩石板的变形模式,表明开度较大的岩石板更有可能表现出与热相关的较大变形。我们的高频监测展示了TLS和IRT相结合如何能够远程检测热致变形,重要的是,IRT如何有可能单独用于识别能够发生大规模变形的部分分离的片状剥落岩石板。这些结果为调查片状剥落悬崖上潜在的落石源提供了一种新的有效方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/9559eac69d54/10346_2020_1524_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/2ea41be4e096/10346_2020_1524_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/91a60835b701/10346_2020_1524_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/e6d2c7e0f53f/10346_2020_1524_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/257e6ba97807/10346_2020_1524_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/f85c81b0ed17/10346_2020_1524_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/05167f26e828/10346_2020_1524_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/7d2c891e290a/10346_2020_1524_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/a81a7d921cd6/10346_2020_1524_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/9559eac69d54/10346_2020_1524_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/2ea41be4e096/10346_2020_1524_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/91a60835b701/10346_2020_1524_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/e6d2c7e0f53f/10346_2020_1524_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/257e6ba97807/10346_2020_1524_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/f85c81b0ed17/10346_2020_1524_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/05167f26e828/10346_2020_1524_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/7d2c891e290a/10346_2020_1524_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/a81a7d921cd6/10346_2020_1524_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc2/7936945/9559eac69d54/10346_2020_1524_Fig9_HTML.jpg

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本文引用的文献

1
Detection of rock bridges by infrared thermal imaging and modeling.通过红外热成像和建模检测岩桥
Sci Rep. 2019 Sep 11;9(1):13138. doi: 10.1038/s41598-019-49336-1.
2
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Nat Commun. 2018 Feb 22;9(1):762. doi: 10.1038/s41467-017-02728-1.
3
Infrared thermography for temperature measurement and non-destructive testing.用于温度测量和无损检测的红外热成像技术。
Sensors (Basel). 2014 Jul 10;14(7):12305-48. doi: 10.3390/s140712305.