Spatiotemporal characteristics analysis of ground subsidence in Wuhan based on SBAS-InSAR

Abstract

Aiming at the problem of uneven ground subsidence in Wuhan, using the Sentinel-1A SAR image data of 36 scenes from July 2017 to June 2020, the SBAS-InSAR was used to extract the ground subsidence information in Wuhan. Influence of factors such as urban construction, industrial development, rainfall, and carbonate karstification on subsidence. The results show that SBAS-InSAR can effectively monitor the ground subsidence in Wuhan. There is a high correlation between ground subsidence and seasonal changes, and the subsidence time series shows a nonlinear downward trend with seasonal changes. Human activities have a serious impact on ground subsidence, and the spatial distribution of the subsidence funnel area is closely related to the geographical location of the industrial area. Among natural factors, rainfall plays a dominant role in the seasonal component of ground subsidence, and karstification has a greater impact on the area along the river. The two influencing factors jointly caused the uneven subsidence of the ground in Wuhan. The experimental results can provide a certain reference for the follow-up subsidence early warning and urban construction planning in Wuhan.