Monitoring on Ground Movement of Geological Tectonic Region Based on InSAR Time Series Analysis

DOI

10.2991/coal-18.2018.53How to use a DOI?

Keywords

InSAR, permanent scatters, small baseline subset, ground movement, geological tectonic region

Abstract

In long-term slow ground deformation monitoring, conventional InSAR technology is affected by factors of temporal decoherence, spatial decoherence and atmospheric effects. In order to overcome these limitations, this paper uses two InSAR time series analysis of permanent scatters and small baseline subset methods to analyze ground deformation caused by fault movement. Based on principles, 34 scenes ENVISAT-ASAR data covered the Dangxiong area were processed in this paper. The results show that, southern fault of Nyenchen Tanglha (northwest margin of Yangbajing-Dangxiong basin) presents a trend of ground uplift. Flat area in the middle of Yangbajing-Dangxiong basin presents a trend of ground subsidence. The front fault of Tanggula Mountain (southeast margin of Yangbajing-Dangxiong basin) presents a trend of ground subsidence. These results were accordance with fault movement in situ. When fault moving, high-level areas were pushed to uplift, while the low-lying areas were squeezed to subsidence. This demonstrates that InSAR time series analysis of permanent scatters and small baseline subset methods are reliable in fault movement monitoring. The fault activity can be analyzed based on monitoring results. This will provide data for earthquake prediction.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shenwen Yu
AU  - Weiping Shi
AU  - Leyin Hu
AU  - Yougui Feng
AU  - Zhurong Xing
PY  - 2018/10
DA  - 2018/10
TI  - Monitoring on Ground Movement of Geological Tectonic Region Based on InSAR Time Series Analysis
BT  - Proceedings of the 9th China-Russia Symposium "Coal in the 21st Century: Mining, Intelligent Equipment and Environment Protection" (COAL 2018)
PB  - Atlantis Press
SP  - 293
EP  - 299
SN  - 2352-5401
UR  - https://doi.org/10.2991/coal-18.2018.53
DO  - 10.2991/coal-18.2018.53
ID  - Yu2018/10
ER  -