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Displacements of Fushun west opencast coal mine revealed by multi-temporal InSAR technology.

Authors :
Wei, Lianhuan
Wang, Fang
Tolomei, Cristiano
Liu, Shanjun
Bignami, Christian
Li, Bing
Lv, Donglin
Trasatti, Elisa
Cui, Yuan
Ventura, Guido
Ao, Meng
Salvi, Stefano
Wang, Shiliu
Pan, Xingyu
Source :
Geo-Spatial Information Science; Jun2024, Vol. 27 Issue 3, p585-601, 17p
Publication Year :
2024

Abstract

In this paper, the Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technology is adopted to monitor the Line of Sight (LOS) displacement of Fushun West Opencast Coal Mine (FWOCM) and its surrounding areas in northeast China using Sentinel-1 Synthetic Aperture Radar (SAR) images acquired from 2018 to 2022. The spatial-temporal evolution of urban subsidence and the south-slope landslide are both analyzed in detail. Comparison with ground measurements and cross-correlation analysis via cross wavelet transform with monthly precipitation data are also conducted, to analyze the influence factors of displacements in FWOCM. The monitoring results show that a subsidence basin appeared in the urban area near the eastern part of the north slope in 2018, with settlement center located at the intersection of E3000 and fault F1. The Qian Tai Shan (QTS) landslide on the south slope, which experienced rapid sliding during 2014 to 2016, presents seasonal deceleration and acceleration with precipitation, with the maximum displacement in vicinity of the Liushan paleochannel. The results of this paper have fully taken in account for the complications of large topographic relief, geological conditions, spatial distribution and temporal evolution characteristics of surface displacements in opencast mining area. The wide range and long time series dynamic monitoring of opencast mine are of great significance to ensure mine safety production and geological disaster prevention in the investigated mining area. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10095020
Volume :
27
Issue :
3
Database :
Complementary Index
Journal :
Geo-Spatial Information Science
Publication Type :
Academic Journal
Accession number :
178418915
Full Text :
https://doi.org/10.1080/10095020.2023.2239285