Monitoring and interpretation of land subsidence in mining areas in Xuzhou City during 2016—2018

doi:10.6046/zrzyyg.2020137

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Abstract

The time-series interferometric synthetic aperture Radar (InSAR) technology has been widely used since it allows for the safe and efficient obtainment of large-scale high-precision ground subsidence data. It is still a hot topic to efficiently obtain accurate land subsidence data of mining areas at different mining states using this technology to provide data support for the ecological governance of the mining areas. Based on Sentinel-1A images (58 scenes per complete orbit), this paper conducts time series monitoring of six mining areas in Xuzhou City using the multiple master-image coherent target small-baseline interferometric SAR (MCTSB-InSAR) technique and obtains land subsidence results during 2016—2018. Meanwhile, it verifies the accuracy of the obtained subsidence rate using the measured data in a similar period, yielding a difference in root mean square error of 4.0 mm/a. Therefore, the monitoring requirements can be satisfied. The monitoring results are as follows. The Zhangshuanglou and Sanhejian coal mines suffered serious land subsidence, with the maximum average annual subsidence rate exceeding 100 mm/a and the maximum cumulative subsidence exceeding 300 mm. In comparison, the Qishan, Shitun, Quantai, and Zhangji coal mines experienced light subsidence, which all occurred within the mining areas and did not show a notable expansion trend during the monitoring period. Based on these results and the monitoring data of the basic geographical state of Jiangsu Province in 2016, there were 2 844 and 672 high-coherence points falling in houses and roads, respectively for the Sanhejian and Zhangshuanglou coal mines, which accounted for 73.66% and 63.33% of the total high coherence points of the mines, respectively. For the mining areas except for the Quantai coal mine, there was a roughly linear relationship between the subsidence amount and time, which was stronger in the mines under mining than in the mines where mining had stopped. In contrast, the relationship between the subsidence amount in the Quantai coal mine and time presented a nonlinear law. The experiment results show that Sentinel-1A images and the MCTSB-InSAR technique have good application prospects in the monitoring and analysis of land subsidence in mining areas.

Keywords mining area subsidence monitoring time-series analysis InSAR technique

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P237P258

Issue Date: 23 December 2021

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	Mengmeng LI
	Xueting FAN
	Chao CHEN
	Qiannan LI
	Jin YANG

Cite this article:

Mengmeng LI,Xueting FAN,Chao CHEN, et al. Monitoring and interpretation of land subsidence in mining areas in Xuzhou City during 2016—2018[J]. Remote Sensing for Natural Resources, 2021, 33(4): 43-54.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2020137 OR https://www.gtzyyg.com/EN/Y2021/V33/I4/43

Tab.1 Basic information of mining area

Fig.1 Images, bench mark and mining map

Fig.2 Technique flow chart

Fig.3 Spatial and temporal distribution of small baseline pair

Fig.4 Statistics of subsidence rate difference between level point and InSAR point, and point for different difference ranges

Fig.5 Maximum subsidence rate and value of mining area

Fig.6-1 Spatial distribution of land subsidence rate and accumulated land subsidence in mining area

Fig.6-2 Spatial distribution of land subsidence rate and accumulated land subsidence in mining area

Fig.6-3 Spatial distribution of land subsidence rate and accumulated land subsidence in mining area

Fig.7 Statistic of high-coherence points in different subsidence rate ranges in the mining area

Fig.8 Land use classification and high-coherence distribution map of mining area

Fig.9-1 Time-series variation diagram of accumulated subsidence in mining area

Fig.9-2 Time-series variation diagram of accumulated subsidence in mining area

Fig.10 Statistical chart of accumulative subsidence in mining are

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