Urban coastal area subsidence monitoring and analysis using SBAS-InSAR method: a case study of the Qingdao west coast new area

Xuan Wang; Kanglin Cong; Yanlin Wu; Qi Liu

doi:10.1117/12.3007380

30 August 2023 Urban coastal area subsidence monitoring and analysis using SBAS-InSAR method: a case study of the Qingdao west coast new area

Xuan Wang, Kanglin Cong, Yanlin Wu, Qi Liu

Author Affiliations +

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127971I (2023) https://doi.org/10.1117/12.3007380
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

Qingdao is an important coastal city in China, and there are a large number of dense buildings, factories, and ports distributed in the coastal area, and they promote the economic development. In this article, the long-term series monitoring of land subsidence is carried out using SBAS-InSAR technology based on 47 Sentinel-1B image data covering the Qingdao West Coast New Area. The results show that the overall surface deformation of Qingdao West Coast New Area is relatively small and stable. The deformation of the coastal land reclamation area is obvious. The maximum vertical deformation rates of three typical subsidence areas, i.e., Qingdao Sunac Victoria Bay, Xingangshan Road Station of Metro Line 1, and Xingguang Island, are -63.7mm/y, -42mm/y, and -22mm/y, respectively. According to the analysis，the unstable geological conditions in the early stage of land reclamation are the main reasons for the subsidence. But with the passage of time, engineering construction and building load have become more important factors affecting the land subsidence of the Qingdao West Coast New Area.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuan Wang, Kanglin Cong, Yanlin Wu, and Qi Liu "Urban coastal area subsidence monitoring and analysis using SBAS-InSAR method: a case study of the Qingdao west coast new area", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127971I (30 August 2023); https://doi.org/10.1117/12.3007380

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