Time-Series InSAR Technology for Monitoring and Analyzing Surface Deformations in Mining Areas Affected by Fault Disturbances.
| Title: | Time-Series InSAR Technology for Monitoring and Analyzing Surface Deformations in Mining Areas Affected by Fault Disturbances. |
|---|---|
| Authors: | He, Kuan1,2 (AUTHOR) hekuan@yrcti.edu.cn, Zou, Youfeng1 (AUTHOR), Han, Zhigang3 (AUTHOR) zghan@henu.edu.cn, Huang, Jilei3,4 (AUTHOR) jileihuang@huel.edu.cn |
| Source: | Remote Sensing. Dec2024, Vol. 16 Issue 24, p4811. 23p. |
| Subject Terms: | *MINE subsidences, *DEFORMATION of surfaces, *COAL mining, *MINES & mineral resources, *SURFACE structure |
| Abstract: | Faults, as unique geological structures, disrupt the mechanical connections between rock masses. During coal mining, faults in the overlying strata can disturb the original stress balance, leading to fault activation and altering the typical subsidence patterns. This can result in abnormal ground deformation and significant damage to surface structures, posing a serious geological hazard in mining areas. This study examines the influence of a known fault (F13 fault) on ground subsidence in the Wannian Mine of the Fengfeng Mining Area. We utilized 12 Sentinel-1A images and applied SBAS-InSAR, StaMPS-InSAR, and DS-InSAR time-series InSAR methods, alongside the D-InSAR method, to investigate surface deformations caused by the F13 fault. The monitoring accuracy of these methods was evaluated using leveling measurements from 28 surface movement observation stations. In addition, the density of effective monitoring points and the relative strengths and limitations of the three time-series methods were compared. The findings indicate that, in low deformation areas, DS-InSAR has a monitoring accuracy of 7.7 mm, StaMPS-InSAR has a monitoring accuracy of 16.4 mm, and SBAS-InSAR has an accuracy of 19.3 mm. [ABSTRACT FROM AUTHOR] |
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| Items | – Name: Title Label: Title Group: Ti Data: Time-Series InSAR Technology for Monitoring and Analyzing Surface Deformations in Mining Areas Affected by Fault Disturbances. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22He%2C+Kuan%22">He, Kuan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hekuan@yrcti.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zou%2C+Youfeng%22">Zou, Youfeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Zhigang%22">Han, Zhigang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> zghan@henu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Jilei%22">Huang, Jilei</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<i> jileihuang@huel.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Dec2024, Vol. 16 Issue 24, p4811. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22MINE+subsidences%22">MINE subsidences</searchLink><br />*<searchLink fieldCode="DE" term="%22DEFORMATION+of+surfaces%22">DEFORMATION of surfaces</searchLink><br />*<searchLink fieldCode="DE" term="%22COAL+mining%22">COAL mining</searchLink><br />*<searchLink fieldCode="DE" term="%22MINES+%26+mineral+resources%22">MINES & mineral resources</searchLink><br />*<searchLink fieldCode="DE" term="%22SURFACE+structure%22">SURFACE structure</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Faults, as unique geological structures, disrupt the mechanical connections between rock masses. During coal mining, faults in the overlying strata can disturb the original stress balance, leading to fault activation and altering the typical subsidence patterns. This can result in abnormal ground deformation and significant damage to surface structures, posing a serious geological hazard in mining areas. This study examines the influence of a known fault (F13 fault) on ground subsidence in the Wannian Mine of the Fengfeng Mining Area. We utilized 12 Sentinel-1A images and applied SBAS-InSAR, StaMPS-InSAR, and DS-InSAR time-series InSAR methods, alongside the D-InSAR method, to investigate surface deformations caused by the F13 fault. The monitoring accuracy of these methods was evaluated using leveling measurements from 28 surface movement observation stations. In addition, the density of effective monitoring points and the relative strengths and limitations of the three time-series methods were compared. The findings indicate that, in low deformation areas, DS-InSAR has a monitoring accuracy of 7.7 mm, StaMPS-InSAR has a monitoring accuracy of 16.4 mm, and SBAS-InSAR has an accuracy of 19.3 mm. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs16244811 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 4811 Subjects: – SubjectFull: MINE subsidences Type: general – SubjectFull: DEFORMATION of surfaces Type: general – SubjectFull: COAL mining Type: general – SubjectFull: MINES & mineral resources Type: general – SubjectFull: SURFACE structure Type: general Titles: – TitleFull: Time-Series InSAR Technology for Monitoring and Analyzing Surface Deformations in Mining Areas Affected by Fault Disturbances. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: He, Kuan – PersonEntity: Name: NameFull: Zou, Youfeng – PersonEntity: Name: NameFull: Han, Zhigang – PersonEntity: Name: NameFull: Huang, Jilei IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 16 – Type: issue Value: 24 Titles: – TitleFull: Remote Sensing Type: main |
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