Building risk monitoring and prediction using integrated multi-temporal InSAR and numerical modeling techniques
Topics:
Keywords: Building risk, InSAR, Underground construction, Numerical modeling, Public health
Abstract Type: Paper Abstract
Authors:
Yi Zheng,
Peifeng Ma,
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Abstract
With rapid urbanization, anthropogenic activities, particularly underground constructions and groundwater extraction, may lead to ground subsidence and affect the adjacent buildings. Without prevention, buildings may collapse and endanger public health. In this study, we present an integrated method to monitor and predict building deformation and risk levels using multi-temporal InSAR and numerical modeling. Persistent and distributed scatterers were jointly detected to monitor deformation using TerraSAR-X, COSMO-SkyMed, and Sentinel-1 images over the Kowloon district of Hong Kong and the Futian district of Shenzhen. The building risk level was firstly assessed at the district scale using ground subsidence and angular distortion to identify potentially damaged buildings. Then, time-series subsidence of the potentially damaged buildings was simulated by numerical modeling, the geological and hydrological conditions beneath these buildings were confirmed to make the simulation results agree well with InSAR measurements. By defining changes in groundwater level and upper loading, the predicted subsidence and risk level of the potentially damaged buildings was deduced year-by-year finally. This method would facilitate the identification of potentially risky buildings and improve understanding of the dynamic behaviors of ground subsidence caused by underground constructions. Its application would contribute to prevention of risky building and the protection of public health.
Building risk monitoring and prediction using integrated multi-temporal InSAR and numerical modeling techniques
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Paper Abstract