Science Service System

Summary of Proposal GEO2815

TitleResearch on monitoring ground subsidence in Suzhou
Investigator Yuan, Ming - Suzhou University of Science and Technology, Department of Spatial Information and Surveying Engineering
Team Member
professor Wu, Jicang - Tongji University, College of Surveying and Geo-Informatics
Professor Yuan, Ming - Suzhou University of Science and Technology, Department of Spatial Information and Surveying Engineering
SummaryIn this study, we want to integrate InSAR, GPS, and leveling data together to extract the ground subsidence information of high building in Suzhou. Suzhou is one of the fastest developing industry city in Yangtze River Delta in China. It is Shanghai's industrial base and back garden. In recent years, Shanghai's many factories and companies have gradually moved to Suzhou. To meet this rapid growth, there is increasing construction of residential and industrial units, so ground subsidence primarily caused by the extraction of underground water has become a serious problem. The basic idea is to apply a persistent scatterers InSAR (PSI) method and to integrate GPS positions and high precision leveling data to validate, calibrate and improve the PSI quality. The research will include realization of PSI through theoretical analysis and programming, co-registering of surveying points of GPS and leveling with the InSAR pixels. We are planning to study the time series moving of high building with better resolution SAR data and GPS, in order to find whether there are subsidence in the building or just some seasonal or physical shifting. As the geological condition is very poor in Suzhou and there are too many underground artificial construction. So we are planning to make some experiments by use of Terra SAR and real-time GPS to monitor the subsidence of high buildings. Both results will be compared in time series to find the settlement of the high building. Conclusion and recommendation will be given on the issue of monitoring ground subsidence using InSAR technology in Suzhou, such as the accuracy and reliability of the ground subsidence obtained, the methodology of PS-InSAR and integration with GPS and leveling and the operational capability of the technique etc. Stripmap single data are mainly needed in Suzhou in China. This research will involve the acquisition of 20 images from the Terra SAR data archive every year. The data will be founded by Suzhou Science and Technology Program--research of monitoring ground subsidence in Suzhou using InSAR data, and Chinese Nature Science Fund--research of single-frequency and single-station real-time precision positioning theory and method based onreal-time ionospheric estimates(41174024).

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