Monitoring and interpretation of land subsidence in mining areas in Xuzhou City during 2016—2018
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摘要: 时间序列合成孔径雷达干涉测量(interferometric synthetic aperture Radar,InSAR)技术因可以安全、高效地获取大范围、高精度地面沉降数据而被广泛应用。如何通过该技术准确、高效获取不同开采状态矿区的地面沉降数据,为矿区生态环境治理提供数据支撑依然是当前热点。文章基于58景Sentinel-1A影像数据,采用多主影像相干目标小基线InSAR方法(multiple master-image coherent target small-baseline interferometric SAR,MCTSB-InSAR),对徐州市6个矿区进行时序监测,得到矿区2016—2018年间地面沉降监测结果。用相近时段内的实测水准数据对年均沉降速率进行精度验证,二者差值的均方根误差为4.0 mm/a,满足监测要求。监测结果表明: 张双楼煤矿和三河尖煤矿沉降较为严重,最大年均沉降速率均超过100 mm/a,最大累计沉降量均超过300 mm; 旗山煤矿、拾屯煤矿、权台煤矿和张集煤矿沉降较轻,监测时段内沉降均发生在矿区范围内,无明显扩张趋势。结合江苏省2016年地理国情监测数据分析,三河尖煤矿有2 844个高相干点落入房屋及道路内,占该矿区总高相干点数的73.66%,张双楼煤矿有672个高相干点落入房屋及道路内,占该矿区总高相干点数的63.33%; 除权台煤矿外,其余矿区的时序沉降量与时间基本都呈线性关系,且在采矿区的沉降一般比停采矿区的线性规律更强,权台煤矿的时序沉降量符合非线性沉降规律。实验表明,Sentinel-1A影像数据和MCTSB-InSAR技术在矿区地面沉降监测与分析方面具有良好的应用前景。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.
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Key words:
- mining area /
- subsidence monitoring /
- time-series analysis /
- InSAR technique /
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