联合InSAR与坡向约束的露天矿边坡三维形变监测

doi:10.13474/j.cnki.11-2246.2023.0048

测绘通报 ›› 2023, Vol. 0 ›› Issue (2): 104-109.doi: 10.13474/j.cnki.11-2246.2023.0048

联合InSAR与坡向约束的露天矿边坡三维形变监测

钱雨扬^1,2, 杨泽发¹, 吴立新¹, 周亦¹, 秦源均¹

1. 中南大学, 湖南长沙 410083;
2. 长江三峡技术经济发展有限公司, 北京 101100

收稿日期:2022-02-28 修回日期:2023-01-02 发布日期:2023-03-01
通讯作者: 杨泽发。E-mail:yangzf@csu.edu.cn
作者简介:钱雨扬(1995-),男,硕士,主要研究方向InSAR露天矿监测。E-mail:qian_yuyang@163.com
基金资助:
国家自然科学基金(41904005);湖南省科技创新计划(2021RC3008);湖南省自然科学基金面上项目(2020JJ469);中南大学研究生自主探索创新项目(2021zzts0847)

Monitoring 3D displacements of open-pit mine with InSAR by incorporating an aspect constraint

QIAN Yuyang^1,2, YANG Zefa¹, WU Lixin¹, ZHOU Yi¹, QIN Yuanjun¹

1. Central South University, Changsha 410083, China;
2. Yangtze Three Gorges Technology and Economy Development Co., Ltd., Beijing 101100, China

Received:2022-02-28 Revised:2023-01-02 Published:2023-03-01

摘要/Abstract

摘要： 针对目前多轨道InSAR融合方法监测的南北向形变误差大,难以科学地识别露天矿边坡滑坡隐患的问题,本文提出了联合InSAR与坡向约束的露天矿边坡三维形变监测方法。首先,将露天矿边坡水平位移主要沿着坡向的先验信息作为约束条件。然后,根据SAR卫星形变投影关系,建立了附加约束条件的露天矿三维形变观测模型,并据此求解三维形变。最后,选用辽宁省阜新市新邱矿区作为研究区域,实现了仅基于升降轨InSAR数据的露天矿边坡三维形变监测。结果表明:本文方法解算的三维形变精度约为1.2 cm,仅占最大形变值的5.6%。本文方法有助于改善目前InSAR露天矿山三维形变监测精度不高的情况,提升露天矿山边坡滑坡隐患识别能力。

关键词: InSAR, 露天矿, 三维形变, 坡向约束, 降雨

Abstract: Since the accuracy of the solved north-south displacements with the traditional method of fusing multi-track InSAR observations is quite poor, it is challenging to scientifically identify the risks of geohazards of open-pit mine slopes. To circumvent this, we propose a new method to monitor three-dimensional displacements of open-pit mine slopes with multi-track InSAR by incorporating an aspect constraint in this paper. Firstly, a prior constraint is constructed based on the prior knowledge that the slope in open-pit mine horizontally moves towards the aspect direction in theory. Then, a functional model involving the prior constraint and three-dimensional displacements of open-pit mine slope is created, according to the projection of three-dimensional displacements onto SAR line of sight direction. Thirdly, three-dimensional displacements of open-pit mine slopes are solved based on the function model. The proposed method is tested in Xinqiu open-pit mine area, in China, and the results show that the accuracy of three-dimensional displacements is about 1.2 cm, occupying 5.6% of the maximum displacement. The proposed method is beneficial to improve the accuracy of InSAR-based three-dimensional displacements of open-pit mine, and further to enhance the ability to identify potential landslides in open-pit mine slope.

Key words: InSAR, open-pit mine, 3D deformation, aspect constraint, rainfall

中图分类号:

P258

钱雨扬, 杨泽发, 吴立新, 周亦, 秦源均. 联合InSAR与坡向约束的露天矿边坡三维形变监测[J]. 测绘通报, 2023, 0(2): 104-109.

QIAN Yuyang, YANG Zefa, WU Lixin, ZHOU Yi, QIN Yuanjun. Monitoring 3D displacements of open-pit mine with InSAR by incorporating an aspect constraint[J]. Bulletin of Surveying and Mapping, 2023, 0(2): 104-109.

参考文献

[1] BAR N, DIXON R. Unveiling unknowns: practical application of InSAR for slope performance monitoring and risk management across multiple surface mines[J]. Engineering Geology, 2021, 293: 106326.
[2] 陶勇, 赵建康, 杨溢, 等. 基于时序InSAR的小龙潭矿区地表形变监测预警[J]. 露天采矿技术, 2021, 36(4): 65-68.
[3] 殷幼松, 王娜, 李晓芳, 等. 宝日希勒露天矿边坡滑前形变特征的时序InSAR分析[J]. 北京测绘, 2021, 35(6): 818-822.
[4] PARWATA I N S, NAKASHIMA S, SHIMIZU N, et al. Effect of digital elevation models on monitoring slope displacements in open-pit mine by differential interferometry synthetic aperture radar[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2020, 12(5): 1001-1013.
[5] 周立新, 王志伟. 基于多视线向D-InSAR技术的三维地表形变抗差解算方法[J]. 大地测量与地球动力学, 2020, 40(12): 1263-1267.
[6] HE Liming, WU Lixin, LIU Shanjun, et al. Mapping two-dimensional deformation field time-series of large slope by coupling DInSAR-SBAS with MAI-SBAS[J]. Remote Sensing, 2015, 7(9): 12440-12458.
[7] 李帅, 温建生, 胡海峰. 融合InSAR技术的矿区大梯度形变研究[J]. 测绘科学, 2021, 46(11): 56-62.
[8] 吴学雨, 李明峰, 董思学, 等. 利用基于抗差垂直向方差分量估计的GPS-InSAR数据融合方法反演三维形变场[J]. 测绘通报, 2021(12): 38-43.
[9] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. Deriving time-series three-dimensional displacements of mining areas from a single-geometry InSAR dataset[J]. Journal of Geodesy, 2018, 92(5): 529-544.
[10] 朱建军, 杨泽发, 李志伟. InSAR矿区地表三维形变监测与预计研究进展[J]. 测绘学报, 2019, 48(2): 135-144.
[11] TANG Wei, MOTAGH M, ZHAN Wei. Monitoring active open-pit mine stability in the Rhenish coalfields of Germany using a coherence-based SBAS method[J]. International Journal of Applied Earth Observation and Geoinformation, 2020, 93: 102217.
[12] INTRIERI E, CARLÀ T, FARINA P, et al. Satellite interferometry as a tool for early warning and aiding decision making in an open-pit mine[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(12): 5248-5258.
[13] LIU Xiaojie, ZHAO Chaoying, ZHANG Qin, et al. Three-dimensional and long-term landslide displacement estimation by fusing C- and L-band SAR observations: a case study in Gongjue County, Tibet, China[J]. Remote Sensing of Environment, 2021, 267: 112745.
[14] HANSSEN R F. Radar interferometry: data interpretation and error analysis[M]. Dordrecht: Kluwer Academic, 2001.
[15] 石固林, 陈强, 刘先文, 等. 联合升降轨Sentinel-1A数据监测桃坪乡古滑坡沿坡向的形变速度场[J]. 工程地质学报, 2022, 30(4): 1350-1361.
[16] BERARDINO P, FORNARO G, LANARI R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2375-2383.
[17] 陈川.高边坡坡脚回填对其稳定性影响的数值模拟分析[J].中国水运(下半月),2011,11(8):92,94.
[18] 姚佳明,姚鑫,刘星洪,等.InSAR技术的天水市活动性滑坡灾害识别与分析[J].测绘科学,2022,47(1):121-132.

联合InSAR与坡向约束的露天矿边坡三维形变监测

Monitoring 3D displacements of open-pit mine with InSAR by incorporating an aspect constraint

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张领旗, 谢酬, 陈蜜, 田帮森, 杨知, 朱玉. 时序InSAR技术在三峡库区特高压输电通道滑坡隐患识别的应用[J]. 测绘通报, 2023, 0(2): 97-103.
[2]	陶威, 贾洪果, 亢邈迒, 刘雨鑫. 基于时序合并的PS-InSAR方法在雄县及周边区域地表形变监测中的应用[J]. 测绘通报, 2023, 0(1): 101-106.
[3]	王润泽, 费敏, 梁世川, 薛豪威, 楼晓. 基于SBAS-InSAR技术监测西安市地表形变特征[J]. 测绘通报, 2023, 0(1): 173-178.
[4]	梁斌, 魏冠军. 利用InSAR技术观测台湾花莲地震断层滑动与运动机理分析[J]. 测绘通报, 2022, 0(9): 68-73.
[5]	唐菲菲, 唐天俊, 朱洪洲, 胡川, 马英, 李昕. 结合注意力机制和Bi-LSTM的降雨型滑坡位移预测[J]. 测绘通报, 2022, 0(9): 74-79,104.
[6]	龚高太, 李佳豪, 周吕, 刘志荣, 黄良珂, 刘立龙. 时序InSAR北京地区地表沉降监测与分析[J]. 测绘通报, 2022, 0(9): 123-128.
[7]	杜玉河, 杨文府. 基于多源数据的山西省采煤沉陷区调查监测体系构建[J]. 测绘通报, 2022, 0(8): 133-138.
[8]	周志伟, 程翔, 周伟, 郝卫峰, 肖海斌, 陈鸿杰, 杨魁. 地基SAR在滑坡形变监测中的应用[J]. 测绘通报, 2022, 0(7): 60-63.
[9]	葛鹏飞, 刘辉, 陈蜜, 李昱, 丁瑞力, 刘菲. 时序InSAR监测京雄城际铁路河北段地面沉降[J]. 测绘通报, 2022, 0(7): 64-70.
[10]	史健存, 杨泽发, 吴立新. 优化先验模型参数的矿区多轨InSAR三维形变监测[J]. 测绘通报, 2022, 0(7): 71-77.
[11]	兰进京, 曲逸穹, 都伟冰, 高鑫, 马丹丹, 郑岩超. 典型矿业城市地表形变遥感监测及沉降特征分析[J]. 测绘通报, 2022, 0(6): 98-103.
[12]	朱邦彦, 唐超, 任志忠, 马状, 张琪, 李云. 基于PS-InSAR技术的珠海市地表形变监测与驱动力分析[J]. 测绘通报, 2022, 0(6): 108-113.
[13]	张家勇, 邹银先, 刘黔云, 张楠, 龚伟, 李康伦. 利用时序InSAR进行毕节市潜在滑坡识别与形变监测[J]. 测绘通报, 2022, 0(6): 121-124.
[14]	曾学宏, 赵义花. 利用SBAS-InSAR技术分析西宁市地面沉降监测及驱动因素[J]. 测绘通报, 2022, 0(6): 137-142.
[15]	万忠明, 王亚文, 范子义. 无人机倾斜摄影技术在边坡监测中的应用[J]. 测绘通报, 2022, 0(6): 170-172.