基于D-InSAR的济宁市采煤沉陷监测与分析
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摘要
对地下采煤造成的地表沉陷进行及时、精确的监测监管是一个亟待解决的课题。该文以济宁市为例,介绍了D-InSAR技术在大范围采煤沉陷区监测及其时序变化特征分析中的应用。介绍了使用D-InSAR技术对采煤沉陷进行监测的基本原理;以5cm下沉线作为采煤沉陷区边界线,选取15期RADARSAT-2 Wide模式数据,采用多基线累积叠加方法分别提取各期采煤沉陷区边界并使用岩移观测数据对监测结果进行了检核。以花园煤矿为例,分析D-InSAR监测采煤沉陷范围及程度的时序变化特征,随着开采的持续进行,沉陷范围及沉陷量逐步增加,受临近工作面开采影响,沉陷中心的沉陷量呈周期性增加。结果表明,D-InSAR可以精确有效地对采煤沉陷区范围及其时序变形过程进行监测,可以应用于大尺度采煤沉陷区的动态监测。
The timely and precise monitoring and management of surface subsidence caused by underground coal mining is an urgent problem. Taking Ji'ning city as an example, the application of D-InSAR technology in the monitoring of large scale coal mining subsidence area and characteristics analysis of its time series change have been introduced in this paper. Basic principle for monitoring coal mining subsidence by using D-InSAR technology has been introduced at first. Then, the 5 cm subsidence lines are taken as the boundary of the coal mining subsidence area, and the 15 periods of RADARSAT-2 wide model data are selected. The method of multi-baseline cumulative superposition is used to extract the boundary of the coal mining subsidence area of each period, and the results are checked by using the data of leveling observation. Finally, by using each period of coal mining subsidence area obtained by D-InSAR technology, the temporal and spatial changing characteristics of mining subsidence area in Ji'ning city have been analyzed. The results show that D-InSAR could be used to monitor the coal mining subsidence area and its time series deformation process accurately and effectively. It can be applied in dynamic observation of large scale coal mining subsidence area.
The timely and precise monitoring and management of surface subsidence caused by underground coal mining is an urgent problem. Taking Ji'ning city as an example, the application of D-InSAR technology in the monitoring of large scale coal mining subsidence area and characteristics analysis of its time series change have been introduced in this paper. Basic principle for monitoring coal mining subsidence by using D-InSAR technology has been introduced at first. Then, the 5 cm subsidence lines are taken as the boundary of the coal mining subsidence area, and the 15 periods of RADARSAT-2 wide model data are selected. The method of multi-baseline cumulative superposition is used to extract the boundary of the coal mining subsidence area of each period, and the results are checked by using the data of leveling observation. Finally, by using each period of coal mining subsidence area obtained by D-InSAR technology, the temporal and spatial changing characteristics of mining subsidence area in Ji'ning city have been analyzed. The results show that D-InSAR could be used to monitor the coal mining subsidence area and its time series deformation process accurately and effectively. It can be applied in dynamic observation of large scale coal mining subsidence area.
引文
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[17] 张有军,张楼香.DEM精度对D-InSAR提取地表形变的影响分析[J].城市勘测,2017(4):89-92.
[18] 薄怀志,宋炳忠,李川建,等.概率积分法沉陷预计与参数反演优化算法及实现[J].山东国土资源,2018,34(4):73-77.
[19] 杨泽发,易辉伟,朱建军,等.基于InSAR时序形变的矿区全盆地沉降时空演化规律分析[J].中国有色金属学报,2016,26(7):1515-1522.
[20] 李楠,王磊.基于D-InSAR技术的老采空区稳定性监测研究[J].矿山测量,2016,44(3):1-4.
[2] 赵博,李爱军,刘术明.昭阳煤矿矿山地质环境影响评估及监测建议[J].山东国土资源,2017,33(5):35-41.
[3] 隋建红.山东省黄河北煤炭矿区地表沉陷预测与综合治理研究[J].山东国土资源,2017,33(3):59-63.
[4] 曹永锋.协同开发环境中采煤塌陷地动态监测监管系统设计与实现[J].山东国土资源,2018,34(2):70-74.
[5] 唐凯.基于单机站CORS的矿区开采沉陷监测研究[J].测绘与空间地理信息,2017,40(11):162-164.
[6] 秦晓敏,王森,许霄霄,等.基于遥感和高程差异特征快速调查采煤塌陷地的方法研究——以山东省为例[J].山东国土资源,2018,34(1):56-60.
[7] 李映辰,柯樱海,宫辉力,等.DEM对PS-InSAR地面沉降监测的影响[J].测绘科学,2018,43(1):124-134.
[8] 罗想,王萍,张艳梅,等.基于SBAS时序分析方法的断裂带形变监测[J].地理空间信息,2018(3):114-116.
[9] 刘斌,葛大庆,李曼,等.地基InSAR技术及其典型边坡监测应用[J].中国地质调查,2018(1):73-81.
[10] 朱建军,李志伟,胡俊.InSAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.
[11] 王彦兵,洪伟,李小娟,等.基于D-InSAR技术的北京城区地面沉降监测[J].测绘通报,2016(5):66-68.
[12] 岳顺,岳建平,邱志伟,等.基于D-InSAR技术的地面沉降监测方法[J].测绘通报,2016(5):77-79.
[13] 李春升,杨威,王鹏波.星载SAR成像处理算法综述[J].雷达学报,2013,2(1):111-122.
[14] 邓云凯,禹卫东,王宇.高分辨率宽幅星载SAR海洋监视与信息反演[J].科技导报,2017,35(20):69-76.
[15] 吕乐婷,陈圣波,车大为,等.D-InSAR原理及其数据处理流程[J].吉林大学学报(地球科学版),2008,38(S1):232-234.
[16] 岳仁宾,王磊,郭彩立.GAMMA软件应用于InSAR相位解缠的研究[J].测绘与空间地理信息,2013,36(10):211-213.
[17] 张有军,张楼香.DEM精度对D-InSAR提取地表形变的影响分析[J].城市勘测,2017(4):89-92.
[18] 薄怀志,宋炳忠,李川建,等.概率积分法沉陷预计与参数反演优化算法及实现[J].山东国土资源,2018,34(4):73-77.
[19] 杨泽发,易辉伟,朱建军,等.基于InSAR时序形变的矿区全盆地沉降时空演化规律分析[J].中国有色金属学报,2016,26(7):1515-1522.
[20] 李楠,王磊.基于D-InSAR技术的老采空区稳定性监测研究[J].矿山测量,2016,44(3):1-4.