Monitoring and analysis of land subsidence in southwestern Shandong using SBAS-InSAR technology

Yao Han; Yongqiang Tian; Yongwei Zhang; Lansong Lv; Xiaowei Wang; Ruifeng Liu; Lin Zhao

doi:10.1117/12.2680924

23 May 2023 Monitoring and analysis of land subsidence in southwestern Shandong using SBAS-InSAR technology

Yao Han, Yongqiang Tian, Yongwei Zhang, Lansong Lv, Xiaowei Wang, Ruifeng Liu, Lin Zhao

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126450A (2023) https://doi.org/10.1117/12.2680924
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

The southwestern part of Shandong province has become one of the most serious land subsidence disasters in Shandong Province. Through a long series of land subsidence monitoring in this area, the land subsidence status in this area can be fully grasped, and scientific basis for the prevention and treatment of land subsidence can be provided. In this paper, Small Baseline Subsets - Interferometry Synthetic Aperture Radar (SBAS-InSAR) technology was used to process the Sentinel-1A data from September 2019 to October 2020 in southwestern Shandong, in order to obtain the range and rate of ground subsidence in this area. At the same time, the precision is verified by the leveling results of the same period. Three feature points are selected to analyze the temporal deformation characteristics of the surface, and the influencing factors of the ground subsidence in the study area are analyzed. The results indicate that during the past 2019-2020 years, the ground subsidence in the southwestern Shandong province was mainly distributed in the east of Mudan District of Heze City, the north of Dingtao District of Heze City, Yuncheng County, Shan County, Jinxiang County of Jining City and its surrounding areas. The most severe subsidence area is located in Yuncheng County, with an annual subsidence rate of 129.1 mm/a. The ground subsidence in southwest Shandong is significantly affected by groundwater overexploitation and coal mining.

Citation Download Citation

Yao Han, Yongqiang Tian, Yongwei Zhang, Lansong Lv, Xiaowei Wang, Ruifeng Liu, and Lin Zhao "Monitoring and analysis of land subsidence in southwestern Shandong using SBAS-InSAR technology", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126450A (23 May 2023); https://doi.org/10.1117/12.2680924

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KEYWORDS

Mining

Deformation

Matrices

Interferometric synthetic aperture radar

Environmental monitoring

Radar

Error analysis

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