结合上升和下降轨道 InSAR 技术定量识别山区露天采矿区的滑坡危险

IF 5.8 2区 工程技术 Q1 ENGINEERING, GEOLOGICAL
Meiyi Dai, Hengkai Li, Beiping Long, Xiuli Wang
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引用次数: 0

摘要

中国南部山区分布着许多露天矿。由于山区地形复杂,雨量充沛,露天采矿活动造成的地表扰动具有严重的滑坡风险。为了提前识别山区露天矿区潜在的滑坡隐患,本研究提出了一种定量方法,利用上升和下降轨道干涉合成孔径雷达(InSAR)技术来准确识别滑坡隐患。我们选择中国云南小龙潭煤矿区作为案例进行研究。采用小基线子集合成孔径雷达(SBAS-InSAR)技术,获取 2019 年 11 月至 2021 年 11 月期间上升和下降轨道的视线(LOS)形变。随后,根据获得的 LOS 变形计算二维变形。利用多种遥感数据源,包括高级星载热发射和反射辐射计全球数字高程模型(ASTER GDEM)和大地遥感卫星 8(Landsat 8 Operational Land Imager,OLI),根据垂直变形提取潜在的滑坡点。然后采用主观和客观相结合的加权法评估研究区域的滑坡危害,并构建了矿区滑坡危害的信息量模型。最后,根据研究期间的高分辨率遥感图像,确定了研究区潜在的滑坡危险。研究结果表明,矿区的垂直变形率在-231.73 至 81.42 毫米/年之间,显示出明显的沉降和隆起趋势。共发现 2353 个潜在滑坡点,主要位于两个露天矿山的斜坡附近和植被覆盖率较低的区域。经鉴定,小龙潭露天煤矿和布扎坝露天煤矿以及研究区域的周边地区具有较高的滑坡危险性。在三个煤矿废渣堆场中,北坪坝废渣堆场的滑坡危险性较大。本研究为山区露天矿区滑坡危险性识别提供了科学依据和实际参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantitative identification of landslide hazard in mountainous open-pit mining areas combined with ascending and descending orbit InSAR technology

Quantitative identification of landslide hazard in mountainous open-pit mining areas combined with ascending and descending orbit InSAR technology

Numerous open-pit mines are scattered within the southern mountainous areas of China. Due to the complex mountainous terrain and abundant rainfall, surface disturbances caused by open-pit mining activities pose a serious risk of landslides. To identify potential landslide hazards in mountainous open-pit mining areas in advance, this study proposes a quantitative method that utilizes ascending and descending orbit Interferometric Synthetic Aperture Radar (InSAR) technology to accurately identify landslide hazards. We select the Xiaolongtan coal mining area in Yunnan, China, as a case study. Small Baseline Subset InSAR (SBAS-InSAR) technology was employed to obtain the Line of Sight (LOS) deformation of ascending and descending orbits from November 2019 to November 2021. Following this, two-dimensional deformations were calculated based on the obtained LOS deformations. Multiple remote sensing data sources, including Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) and Landsat 8 Operational Land Imager (OLI), were utilized to extract potential landslide points based on vertical deformation. A combined subjective and objective weighting method was then used to assess the landslide hazard in the study area, and an information quantity model was constructed for landslide hazards in the mining area. Finally, based on high-resolution remote sensing images from the study period, potential landslide hazards were identified in the study area. The results reveal that the vertical deformation rate in the mining area ranges from − 231.73 to 81.42 mm/year, indicating significant subsidence and uplift tendencies. A total of 2353 potential landslide points were identified, primarily located near the slopes of two open-pit mines and in areas with low vegetation coverage. The Xiaolongtan and Buzhaoba open-pit mines, along with the surrounding regions in the study area, were identified to exhibit relatively high landslide hazards. Among the three coal mine waste dumps, the Beipingba waste dump presents a higher landslide hazard. This study provides a scientific basis and practical reference for identifying landslide hazards in mountainous open-pit mining areas.

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来源期刊
Landslides
Landslides 地学-地球科学综合
CiteScore
13.60
自引率
14.90%
发文量
191
审稿时长
>12 weeks
期刊介绍: Landslides are gravitational mass movements of rock, debris or earth. They may occur in conjunction with other major natural disasters such as floods, earthquakes and volcanic eruptions. Expanding urbanization and changing land-use practices have increased the incidence of landslide disasters. Landslides as catastrophic events include human injury, loss of life and economic devastation and are studied as part of the fields of earth, water and engineering sciences. The aim of the journal Landslides is to be the common platform for the publication of integrated research on landslide processes, hazards, risk analysis, mitigation, and the protection of our cultural heritage and the environment. The journal publishes research papers, news of recent landslide events and information on the activities of the International Consortium on Landslides. - Landslide dynamics, mechanisms and processes - Landslide risk evaluation: hazard assessment, hazard mapping, and vulnerability assessment - Geological, Geotechnical, Hydrological and Geophysical modeling - Effects of meteorological, hydrological and global climatic change factors - Monitoring including remote sensing and other non-invasive systems - New technology, expert and intelligent systems - Application of GIS techniques - Rock slides, rock falls, debris flows, earth flows, and lateral spreads - Large-scale landslides, lahars and pyroclastic flows in volcanic zones - Marine and reservoir related landslides - Landslide related tsunamis and seiches - Landslide disasters in urban areas and along critical infrastructure - Landslides and natural resources - Land development and land-use practices - Landslide remedial measures / prevention works - Temporal and spatial prediction of landslides - Early warning and evacuation - Global landslide database
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