Temporal and spatial characteristics of ground subsidence in Wuwei City based on PS-InSAR technology
Wuwei City,located in the central part of Gansu Province,is a typical agricultural city with extensive agricultural farmland.Due to loose soil,the ground is susceptible to the influence of precipitation and groundwater,leading to subsidence that adversely affects the production and livelihood of residents.In this study,we utilized Sentinel-1A data from February 2017 to December 2022 and employed PS-InSAR technology to extract ground subsidence monitoring data for Wuwei City.This data includes line-of-sight deformation rates and cumulative deformation values.A detailed analysis of the spatiotemporal distribution characteristics of the deformation field was conducted,and the Mogi model was introduced to invert the deep-seated deformation range.Finally,in conjunction with precipitation data for the study area and GRACE satellite-derived information on land water storage changes,an initial analysis of the causes of subsidence in the study area was performed.The research results indicate the presence of two main subsidence areas in the study region.In subsidence area A,the maximum cumulative subsidence reached-290.9 mm,with a line-of-sight deformation rate of-52.0 mm/a.In subsidence area B,the subsidence amounted to-178.1 mm,with a line-of-sight deformation rate of-43.8 mm/a.Ground subsidence exhibits periodic variations,gradually expanding towards the southeast,showing similarities with the characteristics of precipitation and groundwater changes.Through Mogi model inversion,the underground influence range(radius)and depth of the main subsidence areas were determined,with subsidence area A having values of 40.96 m and 133.67 m,and subsidence area B having values of 38.60 m and 140.78 m.Seasonal division and statistical analysis of deformation data revealed that,due to the study area being in an arid region,natural precipitation had a limited impact on ground subsidence,while the substantial extraction of groundwater during agricultural activities emerged as the primary cause of regional ground subsidence.
PS-InSARGround subsidenceErosive precipitationGroundwaterMogi model
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