Fusion of time-series InSAR and ESMD for potential hazard identification and deformation monitoring of high-fill expansive soil airports

doi:10.13474/j.cnki.11-2246.2025.0307

Abstract

Abstract: In this paper,the SBAS-InSAR technique is firstly applied to identify the deformation hazardous area of Ankang expanded soil airport,and obtain the long time series of the characteristic points of the hazardous area.Then,based on the ESMD algorithm,the deformation time series is decomposed,the seasonal physical signals are extracted,and the surface deformation signals are highlighted to obtain the seasonal band cycle of the time series and the frequency and time of the occurrence of the deformation anomalies.Finally,the deformation factors are analyzed in combination with the rainfall and temperature factors in the environmental loads. The results show that:①The deformation of the airport surface mainly occurs in the area of expansive soil fill,and the deformation of the high-fill slopes of the airport is especially obvious. ②The deformation of expansive soils is subject to seasonal fluctuations due to environmental factors and is prone to inhomogeneous settlement in summer. The results of this study provide important clues about the mechanism of cyclic deformation of expansive soils,and are useful for the monitoring of transportation infrastructures under expansive soil conditions.

Key words: expansive soil airports, time-series InSAR, ESMD algorithm, hidden hazard identification

CLC Number:

P237

ZHANG Shuangcheng, LI Sijiezi, REN Zhipeng, SI Jinzhao, HU Xingqun. Fusion of time-series InSAR and ESMD for potential hazard identification and deformation monitoring of high-fill expansive soil airports[J]. Bulletin of Surveying and Mapping, 2025, 0(3): 39-45.

References

[1] IJAZ N,DAI F C,REHMAN Z U.Paper and wood industry waste as a sustainable solution for environmental vulnerabilities of expansive soil: a novel approach[J].Journal of Environmental Management,2020,262:110285.
[2] IKEAGWUANI C C,NWONU D C.Emerging trends in expansive soil stabilisation: a review[J].Journal of Rock Mechanics and Geotechnical Engineering,2019,11(2): 423-440.
[3] 孔令伟,陈建斌,郭爱国,等.大气作用下膨胀土边坡的现场响应试验研究[J].岩土工程学报,2007,29(7): 1065-1073.
[4] LIANG C,WU Z J,LIU X F,et al.Analysis of shallow landslide mechanism of expansive soil slope under rainfall: a case study[J].Arabian Journal of Geosciences,2021,14(7): 584.
[5] 吕海波,曾召田,赵艳林,等.膨胀土强度干湿循环试验研究[J].岩土力学,2009,30(12): 3797-3802.
[6] 杨果林,陈子昂,张红日,等.干湿循环作用下平缓型膨胀土边坡失稳破坏机制研究[J].中南大学学报(自然科学版),2022,53(1): 95-103.
[7] 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.
[8] 葛大庆,戴可人,郭兆成,等.重大地质灾害隐患早期识别中综合遥感应用的思考与建议[J].武汉大学学报(信息科学版),2019,44(7): 949-956.
[9] 刘国祥,陈强,罗小军.InSAR原理与应用[M].北京: 科学出版社,2019.
[10] 赵霞,马新岩,余虔,等.高分辨率InSAR技术在北京大兴国际机场形变监测中的应用[J].自然资源遥感,2024,36(1):49-57.
[11] ZHANG R,ZHANG W G,HUANG W,et al.High-precision monitoring method for airport deformation based on time-series InSAR technology[J].Construction and Building Materials,2023,366: 130144.
[12] WU S B,YANG Z F,DING X L,et al.Two decades of settlement of Hong Kong International Airport measured with multi-temporal InSAR[J].Remote Sensing of Environment,2020,248: 111976.
[13] 陈有东,张立峰,何毅,等.升降轨Sentinel-1A时序InSAR的中川国际机场地表形变监测与分析[J].工程地质学报,2022,30(3): 803-816.
[14] XU Q,ZHAO B,DAI K R,et al.Remote sensing for landslide investigations: a progress report from China[J].Engineering Geology,2023,321: 107156.
[15] SUN Q,ZHANG L,DING X L,et al.Slope deformation prior to Zhouqu,China landslide from InSAR time series analysis[J].Remote Sensing of Environment,2015,156: 45-57.
[16] CAI J L,LIU G X,JIA H G,et al.A new algorithm for landslide dynamic monitoring with high temporal resolution by Kalman filter integration of multiplatform time-series InSAR processing[J].International Journal of Applied Earth Observation and Geoinformation,2022,110: 102812.
[17] 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.
[18] LANARI R,CASU F,MANZO M,et al.An overview of the small BAseline subset algorithm: a DInSAR technique for surface deformation analysis[J].Pure and Applied Geophysics,2007,164(4): 637-661.
[19] 师芸,李伟轩,唐亚明,等.时序InSAR技术在地球环境监测及其资源管理中的应用: 以交城-清徐地区为例[J].武汉大学学报(信息科学版),2019,44(11): 1613-1621.
[20] REN H R,FENG X M.Calculating vertical deformation using a single InSAR pair based on singular value decomposition in mining areas[J].International Journal of Applied Earth Observation and Geoinformation,2020,92: 102115.
[21] WANG J L,LI Z J.Extreme-point symmetric mode decomposition method for data analysis[J].Advances in Adaptive Data Analysis,2013,5(3): 1350015.
[22] LIU X L,WANG H,HUANG Y M.SCBSS signal de-noising method of integrating EEMD and ESMD for dynamic deflection of bridges using GBSAR[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2021,14: 2845-2856.
[23] WANG T,PERISSIN D,ROCCA F,et al.Three Gorges Dam stability monitoring with time-series InSAR image analysis[J].Science China Earth Sciences,2011,54(5): 720-732.
[24] 武帅莹,刘国祥,贾洪果,等.一种基于GNSS和机器学习的InSAR大气改正方法[J/OL].武汉大学学报(信息科学版),[2024-07-10].http://ch.whu.edu.cn/article/id/ebf76121-345e-4dec-b73c-e3c9404083ce.