[1]黄海宁,黄健,周春宏,等.无人机影像在高陡边坡危岩体调查中的应用[J].水文地质工程地质,2019,46(06):149-155.[doi:10.16030/j.cnki.issn.1000-3665.2019.06.20]
 HUANG Haining,ZHOU Chunhong,HUANG Jian,et al.Application of UAV images to rockfall investigation at the high and steep slope[J].Hydrogeology & Engineering Geology,2019,46(06):149-155.[doi:10.16030/j.cnki.issn.1000-3665.2019.06.20]
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无人机影像在高陡边坡危岩体调查中的应用()
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《水文地质工程地质》[ISSN:1000-3665/CN:11-2202/P]

卷:
46卷
期数:
2019年06期
页码:
149-155
栏目:
环 境 地 质
出版日期:
2019-11-15

文章信息/Info

Title:
Application of UAV images to rockfall investigation at the high and steep slope
文章编号:
1000-3665(2019)06-0149-07
作者:
黄海宁1黄健1周春宏2潘勇杰1
(1.成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川 成都610059;(2.中国电建集团华东勘测设计研究院有限公司,浙江 杭州311122)
Author(s):
HUANG Haining1ZHOU Chunhong2HUANG Jian1PAN Yongjie1
1.State Key Laboratory of Geo-hazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuang610059,China;2.Power China Huadong Engineering Corporation Limited, Hangzhou, Zhejiang311122,China
关键词:
无人机高陡边坡危岩体三维实景模型三维点云
Keywords:
unmanned aerial vehiclehigh and steep sloperockfall3D real-scene model3D point cloud
分类号:
P231;P642.2
DOI:
10.16030/j.cnki.issn.1000-3665.2019.06.20
文献标志码:
A
摘要:
在高陡边坡危岩体的调查中,复杂的地形条件经常限制工作的正常开展,如何快速准确地获取地质灾害信息一直是地质灾害调查研究中的难点之一。以往的研究中对无人机遥感技术在黄土、高原等地区应用有所报道,但对西南地区高陡边坡危岩体灾害调查的研究尚无报道。文章以锦屏二级水电站出线场边坡落石灾害所在区域为例,将无人机摄影测量技术应用于高陡边坡危岩体调查中,通过无人机倾斜摄影获取高分辨率遥感影像,开展遥感影像三维建模,进行地质灾害遥感解译,总结了无人机遥感系统在高陡边坡危岩体调查的技术流程。通过三维实景模型,精确地分析了落石灾害的空间分布、失稳模式及演化过程,查明了区域内危岩隐患点的分布特征;基于三维点云模型,提取出地质灾害体的属性信息,测得落石方量为11.7 m3,采用最小二乘法进行平面拟合,得到落石两组主控结构面产状为275.4°∠31.2°、103.5°∠63.3°。实践表明,无人机遥感技术在高陡边坡地区落石灾害调查中具有明显的可行性和优越性,可以较好地应用于高陡边坡危岩体调查中。
Abstract:
Due to the limit of complex terrain,the rockfall investigation is difficult to conduct at the high and steep slope,which is always one of the issues to obtain geological hazard information quickly and accurately in geological hazard investigation. In past studies,the application of UAV remote sensing technology was reported in loess,plateau and other areas,but the study of the rockfall investigation had not been reported on high and steep slope in Southwest China yet. This paper takes the Chuxianchang slope rockfall disaster area of the Jinping II Hydropower Station as an example,applying unmanned aerial vehicle (UAV) photogrammetric technology to the rockfall investigation on the high and steep slopes. The high resolution remote sensing images were obtained by UAV oblique photogrammetry,three-dimensional (3D) modeling of remote sensing image and remote sensing interpretation of geological disaster was performed. It summarized the technical flow of UAV remote sensing system for rockfall investigation in high and steep slope. By a 3D real-scene model,it accurately analysed the space distribution,instability mode and evolution process of rockfall disaster,and investigated the distribution characteristic of instable rockfalls in the area. Based on the 3D point cloud model,it accurately extracted the attribute information of geological disaster body,the measured rockfall volume is 11.7 m3. By the plane fitting based on the least square method,the obtained rockfall occurrences of two main structural planes are 275.4°∠31.2° and 103.5°∠63.3°. The practice results show that UAV remote sensing technology has obvious feasibility and superiority in the rockfall disaster investigation of the high and steep slope,it can be applied to the rockfall investigation in the high and steep slope.

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相似文献/References:

[1]高姣姣,颜宇森,盛新蒲,等.无人机遥感在西气东输管道地质灾害调查中的应用[J].水文地质工程地质,2010,37(6):126.
 GAO Jiao-jiao,YAN Yu-sen,SHENG Xin-pu,et al.Application of UAV remote sensing in Geologic hazards survey along the Project of west-east Gas Transmission[J].Hydrogeology & Engineering Geology,2010,37(06):126.
[2]高波,张佳佳,王军朝,等.西藏天摩沟泥石流形成机制与成灾特征[J].水文地质工程地质,2019,46(05):144.[doi:10.16030/j.cnki.issn.1000-3665.2019.05.19]
 GAO Bo,ZHANG Jiajia,WANG Junchao,et al.Formation mechanism and disaster characteristics of debris flow in the Tianmo gully in Tibet[J].Hydrogeology & Engineering Geology,2019,46(06):144.[doi:10.16030/j.cnki.issn.1000-3665.2019.05.19]

备注/Memo

备注/Memo:
收稿日期: 2018-11-16; 修订日期: 2019-01-18
基金项目: 地质灾害防治与地质环境保护国家重点实验室自主课题(SKLGP2017Z006)
第一作者: 黄海宁(1995-),男,硕士研究生,主要从事无人机及危岩等方面的研究。E-mail: 1246953821@qq.com
通讯作者: 黄健(1986-),男,博士,副教授,主要从事地质工程和岩土工程的教学和科研工作。E-mail: hjian.2010@qq.com
更新日期/Last Update: 2019-11-15