Joint estimation method of time-series InSAR deformation and environmental physical parameters for soft clay area over Dongting lake

doi:10.11947/j.AGCS.2023.20220287

Abstract

Abstract: The Dongting lake eco-economic zone is an important national development zone and an important part of national strategic development, but the soils of the Dongting lake region are predominantly soft clay, and long-term continuous safety and stability monitoring of the densely distributed infrastructure in the region is necessary. The current monitoring using PSInSAR is generally based on a linear rate model, but infrastructure deformation in the Dongting lake soft soil region has obvious non-linear characteristics over time and is also influenced by environmental physical factors such as thermal expansion and precipitation. To address this problem, this paper proposes a method for estimating deformation and environmental physical parameters simultaneously using PSInSAR. The method uses the hyperbolic model and the a priori model of thermal expansion effect for the prediction of the deformation of soft soil in Dongting lake instead of the linear rate model in the original method, incorporates both thermal expansion parameters and environmental precipitation parameters, and solves the deformation and environmental physical parameters together in the PSInSAR solution process. The paper also proposes a solution strategy for LAMDBA-SVD-based time-dimensional parameter estimation and Jacobi iteration-based spatial-dimensional parameter estimation. Totally 24 TerraSAR-X radar satellite remote sensing image covering the Dongting lake area in Yueyang city, China, were selected for experiment, and the thermal expansion parameter of the typical infrastructures in this area was obtained and the time-series deformation from November 2011 to April 2013 was generated by the proposed method. The residual phase of the model is used to evaluate the modeling accuracy of the new algorithm. The results show that the residual phase of the improved model is 0.4 rad, with a 36.5% increasement compared to the traditional linear rate model.

Key words: InSAR, soft clay, thermal expansion, infrastructure, deformation monitoring

CLC Number:

P237

ZHU Jun, ZHU Lingjie, XING Xuemin, ZHANG Rui, BAO Liang, ZHANG Tengfei, BAO Haodan. Joint estimation method of time-series InSAR deformation and environmental physical parameters for soft clay area over Dongting lake[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(12): 2127-2140.

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