Science Service System

Summary of Proposal LAN2982

TitleGround deformation of Taiyuan city based on Permanent Scatterer technique with TerraSAR-X images
Investigator lina, yan - shanxi university of technology, college environmental science and engineering
Team Member
Master candidate zhiyong, song - taiyuan university of technology, college of environmental science and engineering
Ph.D candidate chao, liu - taiyuan university of technology, college of environmental science and engineering

Taiyuan city in the middle of shanxi province, North China, hosts a total of thirteen cities and occupies an area of 6195 square kilometers. This area is characterized as normal basin climate with a dry-cold winter, rainy summer, short spring and autumn, abundant sunshine and large temperature difference between day and night. Taiyuan basin is typical Cenozoic fault basin and bounded by two major faults located on the eastern and western sides. The two faults are formed by a series of NE-striking high-angle normal faults, which control the formation and development of the basin. In addition, amount of coal was stored in the subsurface geological media in Taiyuan city. Plenty of coal exploited by government lead to ground subsidence in Taiyuan city. So the land subsidence has become one of most prominent geological hazards and caused substantial damages to homes, agricultural land, roads, canals, pipelines and other infrastructures. Early studies initiated a few years ago using ground-based techniques e.g., GPS, levelling. With the purpose of disaster prevention and mitigation, it is urgent to obtain the latest temporal and spatial variations in ground deformation of the basin. In this proposal, we will monitor Taiyuan city land subsidence using PS technique with TerraSAR-X images. First, We will get deformation rate map of Taiyuan city. Then, time series of deformation from TerraSAR-X images was acquired. Last, the pattern and the cause of subsidence will be discussed from the observed deformation. This research is funded by National Natural Science Foundation (41272189) and by Hong Kong Polytechnic University through Research Grants Council of the Hong Kong projects (PolyU5160)

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