高精度机载LiDAR在小江活动构造和地质灾害研究中的应用

刘宇平; 梁虹; 陈菲菲

高精度机载LiDAR在小江活动构造和地质灾害研究中的应用

中国地质调查局成都地质调查中心, 成都 610081

基金项目:

中国地质调查局地质调查项目“青藏高原东缘重要地区区域地质专项调查” 1212011220413

“川（滇）铁路沿线地质矿产调查” DD20160021

详细信息

作者简介:
刘宇平(1962-), 男, 硕士, 研究员, 主要从事活动构造研究。E-mail:1060923050@qq.com

中图分类号: P546;P627
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- 文章访问数: 111
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- 被引次数: 0
出版历程
- 收稿日期: 2016-04-11
- 刊出日期: 2016-09-28

APPLICATION OF HIGH RESOLUTION AIRBORNE LIDAR IN XIAOJIANG ACTIVE TECTONICS AND GEOLOGICAL DISASTER STUDY

Chengdu Center, China Geological Survey, Chengdu 610081, China

摘要

摘要: 通过机载LiDAR飞行数据处理，获得飞行区内高精度的数字高程模型（DEM）和数字地表模型（DSM）等数字地形成果，应用数字地形进行地质构造解译，确定小江活动断裂展布及构造地貌特征，圈定飞行区内金沙江、小江的滑坡及泥石流的分布范围，估算其面积及体积，为此类地质灾害的预警提供可靠信息。
- LiDAR /
- DEM /
- 小江断裂 /
- 活动断裂 /
- 泥石流
Abstract: By processing airborne LiDAR flight data of Jinsha River and Xiaojiang, we obtained high precision Digital Elevation Model (DEM) and Digital Surface Model (DSM). Using the digital terrain in geological structure interpretation, we may determine the distribution of active faults and the characteristics of tectonic geomorphology, delineating the range of the landslide and debris flow in Jinsha River and Xiaojiang, also estimating the area and volume of the landslide and debris flow. High precision airborne LiDAR data provides reliable information for such geological disaster warning.
- LiDAR /
- DEM /
- Xiaojiang fracture /
- active faults /
- debris flow

HTML全文

图 1 云南东川DSM(左)和DEM(右)数字地形图

Figure 1. DSM (left) and DEM (right) digital topographic maps in Dongchuan, Yunnan

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图 2 小江地区的DEM晕渲图(左)和坡度图(右)

Figure 2. Hill-shading map (left) and slope map (right) of DEM in Xiaojang region

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图 3 小江断裂形成的坡中槽

Figure 3. Slope groove formed by Xiaojing fault

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图 4 小江断裂切割格勒—龙树阶地的地形坡度图

Figure 4. Gele-Longshu terrace cut by Xiaojing fault (digital slope map)

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图 5 龙树阶地被小江断裂切割的地貌特征

Figure 5. The geomorphic features of Longshu terrace cut by Xiaojing fault

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图 6 小江断裂形成的地貌特征

Figure 6. The geomorphic features formed by Xiaojing fault

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图 7 东川周边小江断裂主要的错断裂水系

Figure 7. Major displaced water system formed by Xiaojing fault around Dongchuan

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图 8 小江LiDAR飞行区的水系特征(据全球STRM DEM数据)

Figure 8. The drainage characteristics of the LiDAR air field

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图 9 小江断裂在新田坝—格勒之间形成的水系位移

Figure 9. Drainage displacement formed by Xiaojing fault between Xintinba and Gele

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图 10 云南东川小江地区滑坡、泥石流和活动断裂分布

Figure 10. Landslide, debris flow and active faults distribution in Dongchuan area, Yunnan Province

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图 11 小江地区蒋家沟泥石沟分布图

Figure 11. Distribution of Jiangjiagou gully debris in Xiaojing region

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图 12 金沙江和小江交汇处主要泥石流沟及滑坡分布图

Figure 12. Distribution of main flow gully and landslide between Jinshajiang interchange Xiaojing

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参考文献(13)

[1]	Arrowsmith J R, Zielke O. Tectonic geomorphology of the San Andreas fault zone from high resolution topography: An example from the Cholame segment[J]. Geomorphology, 2009, 113(1/2): 70~81. https://asu.pure.elsevier.com/en/publications/tectonic-geomorphology-of-the-san-andreas-fault-zone-from-high-re
[2]	马洪超.激光雷达测量技术在地学中的若干应用[J].地球科学:中国地质大学学报, 2011, 36(2): 347~354. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX201102022.htm MA Hong-chao. Review on applications of LiDAR mapping technology to geoscience[J]. Earth Science: Journal of China University of Geoscience, 2011, 36(2): 347~354. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX201102022.htm
[3]	刘静, 陈涛, 张培震, 等.机载激光雷达扫描揭示海原断裂带微地貌的精细结构[J].科学通报, 2013, 58(1): 41~45. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201301003.htm LIU Jing, CHEN Tao, ZHANG Pei-zhen, et al. Illuminating the active Haiyuan fault, China by Airborne Light Detection and Ranging[J]. Chinese Science Bulletin, 2013, 58(1): 41~45. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201301003.htm
[4]	任治坤, 陈涛, 张会平, 等.LiDAR技术在活动构造研究中的应用[J].地质学报, 2014, 88(6): 1196~1207. http://www.cnki.com.cn/Article/CJFDTOTAL-DZXE201406019.htm REN Zhi-kun, CHEN Tao, ZHANG Hui-ping, et al. LiDAR survey in active tectonics studies: An introduction and overview[J]. Acta Geologica Sinica, 2014, 88(6): 1196~1207. http://www.cnki.com.cn/Article/CJFDTOTAL-DZXE201406019.htm
[5]	魏占玉, 何宏林, 高伟, 等.基于LiDAR数据开展活动断层填图的实验研究——以新疆独山子背斜-逆冲断裂带为例[J].地震地质, 2014, 36(3): 794~813. http://www.cnki.com.cn/Article/CJFDTOTAL-DZDZ201403020.htm WEI Zhan-yu, HE Hong-lin, GAO Wei, et al. Experimental study on geologic mapping of active tectonics based on LiDAR data: A case of Dushanzi anticline-reverse fault zone in XinJiang[J]. Seismology and Geology, 2014, 36(3): 794~813. http://www.cnki.com.cn/Article/CJFDTOTAL-DZDZ201403020.htm
[6]	郑文俊, 雷启云, 杜鹏, 等.激光雷达(LiDAR):获取高精度古地震探槽信息的一种新技术[J].地震地质, 2015, 37(1): 232~241. http://www.cnki.com.cn/Article/CJFDTOTAL-DZDZ201501018.htm ZHENG Wen-jun, LEI Qi-yun, DU Peng, et al. 3-D laser scanner (LiDAR): A new technology for acquiring high precision palaeoearthquake trench information[J]. Seismology and Geology, 2015, 37(1): 232~241. http://www.cnki.com.cn/Article/CJFDTOTAL-DZDZ201501018.htm
[7]	肖春蕾, 郭兆成, 郑雄伟, 等.机载LiDAR技术在地质调查领域中的几个典型应用[J].国土资源遥感, 2016, 28(1): 136~143. doi: 10.6046/gtzyyg.2017.01.21 XIAO C Lhun-lei, GUO Zhao-cheng, ZHENG Xiong-wei, et al. Typical applications of airborne LiDAR technique in geological investigation[J]. Remote Sensing for Land and Resources, 2016, 28(1): 136~143. doi: 10.6046/gtzyyg.2017.01.21
[8]	李占飞, 刘静, 邵延秀, 等.基于LiDAR的海原断裂松山段断错地貌分析与古地震探槽选址实例[J].地质通报, 2016, 35(1): 104~116. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201601009.htm LI Zhan-fei, LIU Jing, SHAO Yan-xiu, et al. Tecto-geomorphic analysis and selection of trench sites along Haiyuan fault in Songshan site based on high-resolution airbone LiDAR data[J]. Geological Bulletin of China, 2016, 35(1): 104~116. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201601009.htm
[9]	马晓雪, 吴中海, 李家存.LiDAR技术在地质环境中的主要应用与展望[J].地质力学学报, 2016, 22(1): 93~103. http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?flag=1&file_no=20160110&journal_id=dzlxxb MA Xiao-xue, WU Zhong-hai, LI Jia-cun. LiDAR Technology and its application and prospect in geological environment[J]. Journal of Geomechanics, 2016, 22(1): 93~103. http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?flag=1&file_no=20160110&journal_id=dzlxxb
[10]	Arrowsmith J R, Zielke O.通过高分辨率地形数据解析圣安德烈斯断层带的构造地貌:以乔莱姆段为例[J].世界地震译丛, 2011, (5): 64~80. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYC201105007.htm Arrowsmith J R, Zielke O. Tectonic geomorphology of the San Andreas Fault zone from high resolution topography: An example from the Cholame segment[J]. Transland World Seismology, 2011, (5): 64~80. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYC201105007.htm
[11]	朱成男, 膝德贞, 段加乐, 等.云南巧家段金沙江断错河谷[J].科学通报, 1984, 24: 1520~1523. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB198424012.htm ZHU Cheng-nan, QI De-zhen, DUAN Jia-le, et al. Qiaojia section of Jinsha River in Yunnan dislocation river valley[J]. Chinese Science Bulletin, 1984, 24: 1520~1523. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB198424012.htm
[12]	Wang E, Burchiel B C, Royden L H, et al. Late Cenozoic Xianshuihe-Xiaojiang, Red River, and Dali fault system of southwestern Sichuan and central Yunnan, China[C]//Special Paper of Geological Society of American 327. 1998: 1~108.
[13]	李显巨. 基于LiDAR技术的复杂地质环境区滑坡识别研究[D]. 武汉: 中国地质大学, 2012. LI Xian-ju. Research of the landslide recognition based on LiDAR technology in the complex geological environmental area[D]. Wuhan: China University of Geosciences, 2012.