Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods

Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods
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DOI:
10.3390/rs70709166
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发表时间:
2015-07
期刊:
Remote. Sens.
影响因子:
--
通讯作者:
H. Fan;X. Gao;Junkai Yang;K. Deng;Yang Yu
H. Fan;X. Gao;Junkai Yang;K. Deng;Yang Yu
中科院分区:
其他
文献类型:
--
作者:
H. Fan;X. Gao;Junkai Yang;K. Deng;Yang Yu

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采用相位叠加和亚像元偏移跟踪相结合的方法研究了开采沉陷的机理。在这种方法中,地面沉降与小的变形梯度计算使用时间序列差分干涉合成孔径雷达(D-InSAR)数据,而沉降较大的地区计算的亚像素偏移跟踪方法。利用该方法,利用2012年12月13日至2013年4月2日的11个TerraSAR-X(TSX)场景,获得了榆林地区开采沉陷的时间序列数据。最大开采沉陷和速度值分别为4.478 m和40 mm/d,超出了D-干涉合成孔径雷达和高级干涉合成孔径雷达的监测能力。结果与GPS实测数据进行了比较,其结果在走向和倾向方向的均方根误差分别为0.16 m和0.11 m。通过对该矿区开采沉陷时间序列的分析,得到了4个重要结果:(1)开采沉陷在44 d左右进入残余变形阶段;(2)影响推进角由75.6°变为80.7°;(3)开采沉陷预测参数;(4)三维变形。该方法可用于预测矿山事故的发生,并有助于矿山开采活动结束后生态环境的恢复。
An approach to study the mechanism of mining-induced subsidence, using a combination of phase-stacking and sub-pixel offset-tracking methods, is reported. In this method, land subsidence with a small deformation gradient was calculated using time-series differential interferometric synthetic aperture radar (D-InSAR) data, whereas areas with greater subsidence were calculated by a sub-pixel offset-tracking method. With this approach, time-series data for mining subsidence were derived in Yulin area using 11 TerraSAR-X (TSX) scenes from 13 December 2012 to 2 April 2013. The maximum mining subsidence and velocity values were 4.478 m and 40 mm/day, respectively, which were beyond the monitoring capabilities of D-InSAR and advanced InSAR. The results were compared with the GPS field survey data, and the root mean square errors (RMSE) of the results in the strike and dip directions were 0.16 m and 0.11 m, respectively. Four important results were obtained from the time-series subsidence in this mining area: (1) the mining-induced subsidence entered the residual deformation stage within about 44 days; (2) the advance angle of influence changed from 75.6° to 80.7°; (3) the prediction parameters of mining subsidence; (4) three-dimensional deformation. This method could be used to predict the occurrence of mining accidents and to help in the restoration of the ecological environment after mining activities have ended.