PS-INSAR-SHANGHAI METRO-2.ppt

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Subway Tunnels Identification Through COSMO-SkyMed PSINSAR Analysis in Shanghai Zhiying Wang - HITSZ Daniele Perissin - CUHK Hui Lin - CUHK

Transcript of PS-INSAR-SHANGHAI METRO-2.ppt

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Subway Tunnels Identification Through COSMO-SkyMed PSINSAR Analysis in Shanghai

Zhiying Wang - HITSZ Daniele Perissin - CUHKHui Lin - CUHK

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Subway development in Shanghai

2008 2010

4 new lines and 2 extensions

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From 2010 to 2020: 5 extensions, 8 new linesTotally there will be more than 20 lines

Subway development in Shanghai

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Soil composition in Shanghai city center

large void ratio, high plasticity, poor permeability, high water content, low shear strength, and low modulus of

deformation.

High probability of subsidence

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Previous subsidence studies in Shanghai

D. Perissin and T. Wang,Time-Series InSAR Applications Over Urban Areas in China, IEEE J-STARS, 4(1):92 – 100, 2010

(a) PS technique (1993 – 2000) (b) optical leveling (1990-1998)ESA, 40 ERS data images

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New data availability in Shanghai: Cosmo-SkyMed

33 high resolution/frequency X-band SAR images

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Methodology: InSAR multi-temporal processing

PS-InSAR single master config.

deformation model: linear in

time

Master scene; Oct. 2009

Identification of independent targets (discarding dependent pixels) Estimation of double scatterers in a single resolution cell Estimation of a seasonal trend for targets laying on high buildings Estimation of target life time to detect also temporary targets

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Processing tool used in this study: SARPROZ

http://ihome.cuhk.edu.hk/~b122066/index_files/download.htm

Written in Matlab, graphical interface, advanced options,

processing, data visual./export.

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Shanghai Huang Pu, Lu Wan, Jing An and Zha Bei, 600 sqkm

~1.5 Million PS’s

Results and analysis

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Results and analysis

Close up of subsidence mapand superposition of Metro stations

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Deformation detail – localization

The precise location of the subway tunnels is not public. With radar data, through the surface deformation, we can precisely

track the new lines built recently.

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Example of 3D visualization. The color indicates the PS Height

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Example of 3D visualization. The color indicates the PS Height

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Deformation detail – Xiaonanmen

Subsidence happens mostly on the ground or on low buildings

Near Xiaonanmen station – line 9

High buildings

Metro tunnel

SARPROZ visualization tool

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High buildings

tunnel

SARPROZ visualization tool

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Deformation detailAmplitude and phase time

series

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Deformation detail – profile of the subsidence

Subsidence width: > 90m; The width of the inflexion is around 60m; maximum subsidence: 18mm/year

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Deformation detail - profile of the subsidence

Idealized settlement curve

Kz= 18m and Smax=18mm

when the radius= 3.2m

The real curve depends on many factors,it may not be symmetric.

Tunnel information of detected line 9 and line 10 the external diameter: 6.4m. The distance between two central lines of tunnels is about

20m !!! Very good agreement (18*2+20=56m)

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Conclusion

Advantages: PS-InSAR with Cosmo data is able to monitor subsidence of metro

tunnels in most cases PS-InSAR with Cosmo data is able to monitor the subsidence of

buildings beside tunnels – (tunnel monitoring systems cannot) We can precisely localize and track newly built tunnels with high

details The whole line can be consistently monitored (global monitoring

method)

Disadvantages: PS density is depending on the observed area (e.g. on wide roads

there are few PS’s).

Ongoing works: Results validation with ground data New project in Hong Kong for monitoring new tunneling works

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Thank you!