Title :
PSI analyses of land subsidence due to industrial structure near the city of Hangzhou, China
Author :
Yan, Dapeng ; Zeng, Qiming ; Guo, Xiaofang ; Ge, Daqing
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
Abstract :
In this work we analysis the relationship between the industrial structure and regional subsidence base on the research in past. We mapped the spatial and temporal patterns of the land subsidence near the city of Hangzhou, China by PSI analysis with more than 49 scenes of ERS-1/2 SAR images acquired from 1992 to 2006.[1] According to the PSI results, 13 subsidence centers (express by red dashed circle in fig 1) were found in the Xiaoshan (a district of Hangzhou, China) Economic and Technological Development Zone. Characteristics of each subsidence centers are different. I have found out 86 different enterprises belong to different industrial types (express by red pin tag in Fig 1) by field survey. The Zone was approved as a state-level development zone by the State Council in May, 1993. The structure of the Zone industry Includes 10 main types, Such as petrochemical, power industry, manufacturing and so on. Fig 2 shows the Percentage of different types of enterprises. The main reason of land subsidence in the Zone is groundwater exploitation, which is necessary for the rapid economic development.
Keywords :
electricity supply industry; geomorphology; geophysical image processing; groundwater; manufacturing industries; remote sensing by radar; synthetic aperture radar; China; ERS-1 SAR images; ERS-2 SAR images; Hangzhou city; PSI analysis; State Council; Xiaoshan; economic development zone; field survey; groundwater exploitation; industrial structure; industrial types; land subsidence; manufacturing industry; petrochemical industry; power industry; rapid economic development; red dashed circle; red pin tag; regional subsidence base; spatial pattern; state-level development zone; subsidence centers; technological development zone; temporal pattern; zone industry; Biological system modeling; Cities and towns; Economics; Industries; Manufacturing; Rivers; Synthetic aperture radar; China; Industrial structure; Land subsidence; PS-InSAR;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352055