Monitoring and analysis of coal mining subsidence in large-scale complex mountainous areas based on utilizing ascending and descending track InSAR

doi:10.13474/j.cnki.11-2246.2024.0919

Abstract

Abstract: Large-scale coal mining in complex mountainous areas frequently causes ground subsidence and geological disasters. Effective monitoring using single-track data is challenging. Thus, it requires the combined use of ascending and descending track data. This study employs the SBAS technique, using Sentinel-1 data, to gather surface deformation data in Panzhou city between January 2019 and May 2022. The findings show severe subsidence in coal mining areas, with maximum levels of -385 mm and rates reaching -127 mm/a. Surface deformation in mined mountains follows a linear decline, independent of rainfall. In contrast, closed mines show periodic deformation tied to rainfall patterns intensifying in the rainy season and shifting between creeping and lifting in the dry season. Using both ascending and descending track data reduces misidentification in side-looking radar images, enhancing subsidence detection in karst mountainous mining areas. The results offer a scientific foundation for safe mining practices, post-closure restoration, and disaster prevention in karst mountainous regions.

Key words: SBAS, mining subsidence, abandoned mines, deformation monitoring, Panzhou city

CLC Number:

P237
P258

HUANG Guangcai, DONG Jihong, ZHAO Zilong, XI Wenfei, GUO Junqi, AN Quan, ZHU Yuhua, WEI Jin. Monitoring and analysis of coal mining subsidence in large-scale complex mountainous areas based on utilizing ascending and descending track InSAR[J]. Bulletin of Surveying and Mapping, 2024, 0(9): 106-111,122.

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