首页|综合遥感技术在山区铁路泥石流勘察中的应用

综合遥感技术在山区铁路泥石流勘察中的应用

Application of Comprehensive Remote Sensing Technology in Mountain Railway Debris Flow Survey

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为了解决传统泥石流勘察中存在效率低、盲区多、风险大等问题,采用小基线集雷达干涉测量(SBAS-InSAR)和无人机低空遥感两种技术手段(前者通过密集像获取植被覆盖区域高可靠性的形变信息;后者通过区域网平差等处理获取高分辨率实景三维模型),综合形变与影像纹理,对某山区铁路沿线泥石流沟谷开展勘察分析,获取流域内地质灾害隐患的时空分布情况.结果表明,通过SBAS-InSAR技术,发现该泥石流沟谷存在多处随季节变化的活动隐患体,最大形变量为 28.5 mm/a;依据无人机实景三维模型,完成形变隐患体的空间形态、方量、产状及发育情况的详查,其中最大规模的滑坡体方量为(16.5～18)万m3.现场调查显示,综合遥感技术可有效克服山区地形复杂,人不易至的难题,为灾害筛查提供多维度视角,具有人员投入少、监测面积广、灾害定位快以及筛查精度高等优势.
In order to solve the problems of low efficiency,multiple blind spots,and high risks in traditional debris flow exploration,two technical means were adopted:small baseline subset interferometric synthetic aperture radar(SBAS-InSAR)and unmanned aerial vehicle(UAV)low altitude remote sensing(the former obtains highly reliable deformation of vegetation coverage areas through dense images,while the latter obtains high-resolution realistic 3D models through regional network adjustment and other processing).Integrating deformation and image texture,a survey and analysis of debris flow valleys along a railway in a certain mountainous area was conducted to obtain the spatial and temporal distribution of geological hazards in the watershed.The results show that,through SBAS-InSAR technology,it was found that there were multiple seasonal active hazards in the debris flow valley,with a maximum deformation variable of 28.5 mm/a.Based on the 3D model of UAV,a detailed investigation was conducted on the spatial form,volume,occurrence,and development of the deformation hazard.The largest scale landslide had a volume of 165000 to 180000 cubic meters.On site investigations show that the comprehensive remote sensing technology can effectively overcome the challenges of complex mountainous terrain and difficult access for humans,providing a multidimensional perspective for disaster screening.It has the advantages of low personnel investment,wide monitoring area,fast disaster positioning,and high screening accuracy.

mountain railwaytime-series InSARUAV3D realistic modeldebris flow disasterslandslidedangerous rock mass

张璇钰、刘桂卫、孙琪皓、王飞、王东旭

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中国铁路设计集团有限公司,天津 300308

山区铁路 时序InSAR技术 无人机 实景三维模型 泥石流灾害 滑坡 危岩

中国铁路设计集团有限公司科技开发计划重点课题中国铁路设计集团有限公司科技开发计划重点课题中国铁路设计集团有限公司科技开发计划重点课题

2023A02264082021A2404082021A240403

2024

10.19630/j.cnki.tdkc.202304190001

铁道勘察
中铁工程设计咨询集团有限公司

铁道勘察

影响因子：0.542
ISSN：1672-7479
年,卷(期)：2024.50(1)
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