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基于机载LiDAR技术的泥石流物源侵蚀量定量评价研究

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赵聪, 铁永波, 梁京涛. 2023. 基于机载LiDAR技术的泥石流物源侵蚀量定量评价研究. 沉积与特提斯地质, 43(4): 808-816. doi: 10.19826/j.cnki.1009-3850.2021.09004
引用本文: 赵聪, 铁永波, 梁京涛. 2023. 基于机载LiDAR技术的泥石流物源侵蚀量定量评价研究. 沉积与特提斯地质, 43(4): 808-816. doi: 10.19826/j.cnki.1009-3850.2021.09004
shu
ZHAO Cong, TIE Yongbo, LIANG Jingtao. 2023. Quantitative evaluation of debris flow provenance erosion based on Airborne Lidar Technology. Sedimentary Geology and Tethyan Geology, 43(4): 808-816. doi: 10.19826/j.cnki.1009-3850.2021.09004
Citation: ZHAO Cong, TIE Yongbo, LIANG Jingtao. 2023. Quantitative evaluation of debris flow provenance erosion based on Airborne Lidar Technology. Sedimentary Geology and Tethyan Geology, 43(4): 808-816. doi: 10.19826/j.cnki.1009-3850.2021.09004
shu

基于机载LiDAR技术的泥石流物源侵蚀量定量评价研究

  • 1.

    四川省地质调查院 稀有稀土战略资源评价与利用四川省重点实验室，四川　成都　610081

  • 2.

    中国地质调查局成都地质调查中心（西南地质科技创新中心），四川　成都　610218

  • 基金项目: 国家自然科学基金面上项目（41772324）；中国地质调查局地质调查项目（DD20190640）；四川省地质灾害隐患遥感识别监测（2020年）项目（510201202076888）
详细信息
    作者简介: 赵聪（1994—），男，助理工程师，硕士，主要从事地质灾害遥感调查监测相关研究。E-mail：735069327@qq.com
    通讯作者: 梁京涛（1982—），男，高级工程师，主要从事遥感地质、水工环地质研究工作。E-mail：550124235@qq.com

  • 中图分类号: P237；P642.23

Quantitative evaluation of debris flow provenance erosion based on Airborne Lidar Technology

  • 1.

    Sichuan Geological Survey/Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Chengdu 610081, China

  • 2.

    Chengdu Center, China Geological Survey (Geosciences Innovation Center of Southwest China), Chengdu 610218, China

More Information

    摘要

  • 泥石流物源是形成泥石流的三大基本条件之一，物源侵蚀堆积变化量则是衡量泥石流规模和频率的重要指标，然而目前采用常规技术手段仍难以实现对物源侵蚀堆积变化的定量研究。针对这一问题，本文以西昌市邛海水厂后山冲沟泥石流为例，采用机载LiDAR技术建立了该流域雨季前后的高精度数字高程模型（DEM），并基于此开展了泥石流物源侵蚀量定量评价研究。结果表明：邛海水厂后山冲沟流域总体过火面积达65%，流域内主要发育坡面堆积物源、崩滑堆积物源以及沟道堆积物源；两期次高精度DEM数据差分叠加可实现泥石流物源侵蚀量的估算，该沟雨季前后泥石流物源侵蚀减少量为12209 m3，物源侵蚀变化呈分布区域广、数量多、散状发育的特点；泥石流物源的启动以坡面堆积物源侵蚀为主，侵蚀厚度多在0.5 m以内；邛海水厂后山冲沟泥石流在今后一段时间内将以高频泥石流为主。

    The material source is one of the three basic conditions for the formation of debris flow, and the change in erosion accumulation of the material source is an important index to measure the scale and frequency of debris flow. Currently, conventional techniques are still unable to achieve quantitative research on the change in source erosion accumulation. To solve this problem, this paper takes the gully debris flow at the back of the Qionghai water plant in Xichang City as an example, based on two periods of optical images and high-precision DEM (Digital Elevation Model) by LiDAR before and after the rainy season, carries out quantitative evaluation of debris flow provenance erosion. The results show that: the fire area of the basin is 65%, and there are slope erosion provenance, landslide provenance and gully accumulation sources in the basin. According to the superposition analysis of two high-precision DEM datasets, the source erosion amount of debris flow before and after the rainy season is 12209 cubic metres. The source erosion area is characterized by wide distribution, large number and scattered development. The debris flow is mainly caused by slope material source erosion, and the majority of the erosion thickness is within 0.5 m. Therefore, there will be high frequency debris flow in the future.

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  • 图 1  研究区无人机光学影像（2020年6月）

    Figure 1. 

    下载: 全尺寸图片 幻灯片

    图 2  邛海水厂后山冲沟两期次DSM与DEM

    Figure 2. 

    下载: 全尺寸图片 幻灯片

    图 3  过火区分布解译图

    Figure 3. 

    下载: 全尺寸图片 幻灯片

    图 4  过火区分布野外验证照片

    Figure 4. 

    下载: 全尺寸图片 幻灯片

    图 5  泥石流物源分布及分区解译图

    Figure 5. 

    下载: 全尺寸图片 幻灯片

    图 6  泥石流物源侵蚀堆积变化图

    Figure 6. 

    下载: 全尺寸图片 幻灯片

    图 7  A-A'剖面示意图

    Figure 7. 

    下载: 全尺寸图片 幻灯片

    图 8  沟口物源变化野外验证照片

    Figure 8. 

    下载: 全尺寸图片 幻灯片

    图 9  B-B’剖面示意图

    Figure 9. 

    下载: 全尺寸图片 幻灯片

    图 10  C-C’剖面示意图

    Figure 10. 

    下载: 全尺寸图片 幻灯片

    图 11  流域中下游物源变化野外验证照片

    Figure 11. 

    下载: 全尺寸图片 幻灯片

    表 1  两次无人机作业检查点误差统计表

    Table 1.  Error statistics of checkpoints during two UAV operations

    检查点编号检查点实测坐标值第一次飞行点云坐标误差（m）第二次飞行点云坐标误差（m）
    XYZXYZXYZ
    CHK01526477.3693078813.7601772.339－0.012－0.0190.0850.0230.0330.031
    CHK02526280.7293078734.2701830.9690.0410.0260.0630.047－0.0310.009
    CHK03526372.0603078500.4401848.9380.018－0.0090.021－0.0370.025－0.033
    下载: 导出CSV
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收稿日期:  2021-04-30
修回日期:  2021-09-04
录用日期:  2021-09-13
刊出日期:  2023-12-31

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