Abstract

Large-scale land subsidence has threatened the safety of the Hebei Plain in China. For tens of thousands of square kilometers of the Hebei Plain, large-scale subsidence monitoring is still one of the most difficult problems to be solved. In this paper, we employed the small baseline subset (SBAS) and NSBAS technique to monitor the land subsidence in the Hebei Plain (45,000 km2). The 166 Sentinel-1A data of adjacent-track 40 and 142 collected from May 2017 to May 2019 were used to generate the average deformation velocity and deformation time-series. A novel data fusion flow for the generation of land subsidence velocity of adjacent-track is presented and tested, named as the fusion of time-series interferometric synthetic aperture radar (TS-InSAR) results of adjacent-track using synthetic aperture radar amplitude images (FTASA). A cross-comparison analysis between the two tracks results and two TS-InSAR results was carried out. In addition, the deformation results were validated by leveling measurements and benchmarks on bedrock results, reaching a precision 9 mm/year. Twenty-six typical subsidence bowls were identified in Handan, Xingtai, Shijiazhuang, Hengshui, Cangzhou, and Baoding. An average annual subsidence velocity over −79 mm/year was observed in Gaoyang County of Baoding City. Through the cause analysis of the typical subsidence bowls, the results showed that the shallow and deep groundwater funnels, three different land use types over the building construction, industrial area, and dense residential area, and faults had high spatial correlation related to land subsidence bowls.

Highlights

  • Based on the method proposed by Sergey Samsonov [45], this paper proposes a novel data fusion flow for the generation of land subsidence velocity of adjacent-track to merge the TS-Interferometric synthetic radar (InSAR)

  • This paper proposes a fusion processing flow of adjacent-track TS-InSAR results based on synthetic radar (SAR) amplitude images (Figure 5)

  • It is clear to the NSBAS technique can generally provide more coherent pixels than small baseline subset (SBAS) techn see that the NSBAS technique can generally provide more coherent pixels than SBAS

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Groundwater depletion and related land subsidence is a severe problem in many countries around the world. Several major cities worldwide suffer from aquifer depletion and land subsidence [1] due to overexploitation of groundwater resources [2]. Land subsidence may be one of the most obvious environmental impacts of groundwater extraction [3]

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