D-InSAR的黄土高原矿区地表形变监测

发布时间：2018-07-09 22:23

本文选题：地表形变 + D-InSAR　；参考：《测绘科学》2017年06期

【摘要】：D-InSAR技术已在数字高程建模、地表微小变形、地壳形变等方面显示出广阔前景,但其对黄土高原矿区复杂、剧烈、动态的地表形变监测能否有效,目前仍存在争议。针对此问题,该文以大同市南郊区采煤沉陷地为研究区域,利用两轨法D-InSAR技术,采用ALOS PALSAR数据获取了研究区域2008年1月1日至2月16日间的沉陷面积和最大沉降值。然后以晋华宫矿某工作面为例,利用开采沉陷预计方法进行验证,预计结果显示该工作面的最大沉陷值与D-InSAR测量值相差达24.04mm,并分析差异主要来源于SAR数据、地形、预计参数选取的限制。实验结果表明,D-InSAR技术能够比较准确且有效地监测黄土高原矿区地表形变。
[Abstract]:D-InSAR technology has shown a broad prospect in digital elevation modeling, surface micro-deformation, crustal deformation and so on. However, whether D-InSAR technology can effectively monitor the surface deformation in the mining areas of the Loess Plateau is still controversial. In order to solve this problem, this paper takes the coal mining subsidence in the south suburb of Datong as the study area, using the two-track D-InSAR technology and using ALOS parSAR data to obtain the subsidence area and the maximum settlement value between January 1 and February 16, 2008 in the study area. Then, a mining subsidence prediction method is used to verify the result of mining subsidence prediction in Jinhuagong Coal Mine. The predicted results show that the maximum subsidence value of the working face is 24.04 mm different from the D-InSAR measurement value, and the difference is mainly from SAR data and topography. Expected parameter selection limits. The experimental results show that the D-InSAR technique can accurately and effectively monitor the surface deformation of mining areas on the Loess Plateau.
【作者单位】：中国矿业大学环测学院;中国矿业大学低碳能源研究院;
【分类号】：TD325.4

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