SBAS-InSAR-based monitoring and inversion of surface subsidence of the Shadunzi Coal Mine in Hami City, Xinjiang

SHA Yonglian， WANG Xiaowen， LIU Guoxiang， ZHANG Rui， ZHANG Bo; ${author.authorNameEn}; ${author.authorNameEn}; ${author.authorNameEn}; ${author.authorNameEn}

doi:10.6046/zrzyyg.2020026

2021 Vol. 33, No. 3

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Article navigation > Remote Sensing for Natural Resources > 2021 > 33(3): 194-201

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SHA Yonglian， WANG Xiaowen， LIU Guoxiang， ZHANG Rui， ZHANG Bo, . 2021. SBAS-InSAR-based monitoring and inversion of surface subsidence of the Shadunzi Coal Mine in Hami City, Xinjiang. Remote Sensing for Natural Resources, 33(3): 194-201. doi: 10.6046/zrzyyg.2020026

Citation:

SHA Yonglian， WANG Xiaowen， LIU Guoxiang， ZHANG Rui， ZHANG Bo, . 2021. SBAS-InSAR-based monitoring and inversion of surface subsidence of the Shadunzi Coal Mine in Hami City, Xinjiang. Remote Sensing for Natural Resources, 33(3): 194-201. doi: 10.6046/zrzyyg.2020026

SBAS-InSAR-based monitoring and inversion of surface subsidence of the Shadunzi Coal Mine in Hami City, Xinjiang

SHA Yonglian， WANG Xiaowen， LIU Guoxiang， ZHANG Rui， ZHANG Bo^1,2,
^1,3,
^1,3,
^1,3,
¹

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China；
2. Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China；
3. State-province Joint Engineering Laboratory of Spatial Information Technology of High-speed Railway Safety, Chengdu 611756, China

Received Date: 19 January 2020

Publish Date: 15 September 2021

Abstract

Abstract

The monitoring of surface subsidence in mining areas can provide key information for local production safety protection and mining planning and management. Based on the Sentinel-1A images from September 2018 to October 2019, this study characterized the surface subsidence in the mining area of the Shadunzi Coal Mine in Hami City, Xinjiang, China using the combined small baseline subset (SBAS) and interferometric synthetic aperture radar (InSAR) analysis. The InSAR measurement results revealed a subsidence funnel with a maximum subsidence rate of about -150 mm/a to the northwest of the main shaft of the coal mine. As indicated by the displacement time series, the subsidence funnel showed a significant linear subsidence pattern from September 2018 to June 2019 and gradually stabilized thereafter. Then the surface deformation inversion was conducted using the Okada rectangular dislocation model to obtain the parameters of the working face of the coal mine. The modeling results showed that the working face had a depth of about 349.89 m, a length of about 1 001.27 m, and a width of about 211.80 m. Based on the inversion results as well as the apparent density of the coal seams, the annual mining capacity of the coal mine was estimated to be about 3.18 Mt during 2018—2019, which is consistent with the reported annual production capacity of the coal mine. This paper provides a feasible way to conduct the parameter inversion of coal mine working face under the constraints of InSAR measurements and to infer the relationship between the working face parameters and the mining capacity according to the apparent density of coal seams.
- mining-induced surface subsidence /
- Shadunzi Coal Mine /
- SBAS-InSAR /
- parameter inversion /

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