Two-decadal evolution of irreversible surface deformation in a coal mining area revealed by improved InSAR observations

IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Catena Pub Date : 2025-04-01 DOI:10.1016/j.catena.2025.108996
Zijing Liu , Haijun Qiu , Shuai Yang , Chao Zhou , Lele Zhang , Canghai Zhou , Yaru Zhu , Shuyue Ma
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Abstract

High-intensity mining activities caused by the rapid increase of coal consumption can lead to unprecedented multi‑hazard effects of underground coal mining. Revealing the long-term surface deformation of a coal mining area plays an important role in understanding a disaster. However, due to the limitation of methods and data, the long-term evolution effect of surface deformation in coal mining regions remains unclear. Here, we improved the Interferometric Synthetic Aperture Radar (InSAR) method to process multi-source radar remote sensing monitoring data from the past twenty years to uncover the long-term surface deformation throughout the study region. We found that the initial scattered smaller deformation areas detected by Generic Atmospheric Correction Online Service (GACOS)-assisted Stacking gradually merged into a coherent larger region. Our Improved Interferometric Point Target Analysis (IPTA)-InSAR method showed that coal mining activities can lead to significant surface deformation that can last for several years. The velocity-involved stability assessment method assesses the stability in a mining area using historical time series, so as to judge the current state of this area. Results revealed that GACOS-assisted Stacking is more suitable for extracting surface deformation from coal mining activities at the regional scale as it greatly reduces topographic and atmospheric errors during the data processing. Additionally, the correction effect of GACOS datasets on C-band datasets is better. Meanwhile, we discuss the limitations of proposed stability assessment method. This study provides a new understanding of surface deformation caused by coal mining activities.
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改进InSAR观测揭示的矿区地表不可逆变形的20年演变
煤炭消费的快速增长所引起的高强度开采活动,会导致煤矿地下开采产生前所未有的多害效应。揭示矿区地表长期变形对认识灾害具有重要意义。然而,由于方法和数据的限制,采煤区地表变形的长期演化效应尚不清楚。本文对干涉合成孔径雷达(InSAR)方法进行了改进,对近20年来的多源雷达遥感监测数据进行了处理,揭示了整个研究区的长期地表变形。研究发现,GACOS辅助叠加探测到的初始分散的小变形区域逐渐合并为一个相干的大区域。我们的改进干涉点目标分析(IPTA)-InSAR方法表明,煤炭开采活动可能导致持续数年的显著地表变形。涉及速度的稳定性评价方法是利用历史时间序列对矿区的稳定性进行评价,从而判断矿区的当前状态。结果表明,gacos辅助叠加在区域尺度上更适用于煤矿开采地表变形提取,大大降低了数据处理过程中的地形和大气误差。此外,GACOS数据集对c波段数据集的校正效果更好。同时,讨论了所提出的稳定性评估方法的局限性。该研究为煤矿开采引起的地表变形提供了新的认识。
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来源期刊
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
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