Parameter Inversion Method of Close Multi-coalseam Based on Time Series InSAR

doi:10.12068/j.issn.1005-3026.2022.06.019

Journal of Northeastern University(Natural Science) ›› 2022, Vol. 43 ›› Issue (6): 897-904.DOI: 10.12068/j.issn.1005-3026.2022.06.019

• Resources & Civil Engineering • Previous Articles Next Articles

Parameter Inversion Method of Close Multi-coalseam Based on Time Series InSAR

LIU Cui-zhi¹， WANG Xing-jie¹， HE Li-ming¹， TANG Yong-liang²

1. School of Resources & Civil Engineering， Northeastern University， Shenyang 110819， China;2. Liaoning Geological Environment Monitoring Station， Shenyang 110032， China.

Revised:2021-07-12 Accepted:2021-07-12 Published:2022-07-01
Contact: HE Li-ming
About author:-
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Abstract

Abstract: Ground subsidence caused by close multi-coalseam mining occupies a large proportion in current mining activities. Due to the significant advantages of space-based InSAR technique in large-scale deformation monitoring， the subsidence caused by the close multi-coalseam mining in Kangping coalfield was monitored based on the 43 scenes C-band Sentinel-1B SAR data from January 2018 to August 2019. Considering the distribution characteristics of the close multi-coalseam， a close multi-coalseam parameter inversion method using superposition theory based on multi-source Okada model was proposed. By quantitatively calculating the accuracy of inversion results of dual-source model and three-source model of close multi-coalseam in elastic half space， it is found that the three-source model has a higher accuracy， which is consistent with the actual characteristics of the close multi-coalseam of the Xiaokang mine. This study provides some references to the subsidence monitoring and parameter inversion of close multi-coalseam mining.

Key words: close multi-coalseam; parameter inversion; time series InSAR; multi-source Okada model; deformation modeling

CLC Number:

TD821
P237

LIU Cui-zhi， WANG Xing-jie， HE Li-ming， TANG Yong-liang. Parameter Inversion Method of Close Multi-coalseam Based on Time Series InSAR[J]. Journal of Northeastern University(Natural Science), 2022, 43(6): 897-904.

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Parameter Inversion Method of Close Multi-coalseam Based on Time Series InSAR

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