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Summary of Proposal MTH1766

TitleResearch on monitoring ground subsidence in Yangtze River Delta using InSAR, GPS, and precise leveling
Investigator Wu, Jicang - Tongji University, College of Surveying and Geo-Informatics
Team Member
Assistant Zhang, Lei - The Hong Kong Polytechnic University, Dept. of Land Surveying and Geo-Informatics
SummaryThe Yangtze River Delta (YRD) is the fatest developing economic region in China. It includes the cities of Shanghai, Nanjing, Hangzhou, Wuxi, Suzhou, and Changzhou, the population in this area has reached to120 million. The YRD is core area of Chinese economy. To meet this rapid economic growth, there are a lot of constructions in this area, such as tall buildings, roads, factories and so on. The average sendiment layer in YRD is about 250m, so the geological condition is weak and the ground subsidence is a serious problem in YRD, it has threathen the safety of social life. Traditional precise levelling have been used for ground subsidence, but the density of bench marks is limited and not enough to obtain details of ground subsidence, especially uneven ground subsidence. In this study, we want to integrate InSAR, GPS, and leveling data together to extract details of ground subsidence information in Yangtze River Delta.The basic idea is to apply the 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 realize an efficient PSI method through theoretical analysis and programming, co-registering of surveying points of GPS and leveling with the InSAR pixels. Moreover,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 so as to find the settlement of the high building. Stripmap single look complex data are mainly needed and the data will be downlowed from the FTP. We currently have two research projects funded by the national natural science fundation of China. One is about DInSAR data processing with various spatiotemporal baseline combinations, the other is about modeling of atmospheric delay with permant GNSS arrays.

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DLR 2004-2016