DocumentCode
2706691
Title
The response of land subsidence by over-exploitation using PSInSAR — A case study of Huairou, Beijing, China
Author
Wang, Sa ; Gong, Huili ; Du, Zhaofeng ; Ren, Yongqiang ; Gu, Zhaoqin
Author_Institution
Key Lab. of Resource Environ. & GIS, Capital Normal Univ., Beijing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
4
Abstract
PSInSAR is a well-known remote sensing technique with the ability to monitor ground deformations. In this study we applied the PSInSAR technique to study the subsidence phenomena due to the over-exploitation of groundwater in Huairou Emergency Water Source which is the first oversize emergency water source in Beijing. A series of Envisat ASAR images from 2003 to 2009 are used to monitor the ground deformations in the study area. The subsidence map shows subsidence is related to the level of groundwater and the quantity of rainfall. Temporal analysis of the maps detects yearly and seasonal subsidence patterns. A spatial correlation has been observed between the groundwater depression funnel and the subsidence area, which changed from SW-NE to NW-SE. As the decrease of groundwater, the subsidence trend is expanding with the mean subsidence velocity of 8mm/a, and there is a seasonal change in the study area.
Keywords
geomorphology; groundwater; radar interferometry; remote sensing by radar; synthetic aperture radar; AD 2003 to 2009; Beijing emergency water source; China; Envisat ASAR images; Huairou Emergency Water Source; PSInSAR; ground deformation monitoring; groundwater depression funnel; groundwater level; groundwater over exploitation; land subsidence phenomena; land subsidence response; rainfall quantity; remote sensing technique; subsidence area; subsidence map; velocity 0.0000002537 mm/s; Correlation; Geology; Monitoring; Noise; Production facilities; Rivers; Water resources; PSInSAR; groundwater funnel; land subsidence;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980734
Filename
5980734
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