[1]李爱农,南希,张正健,等.茂县“6·24”特大高位远程崩滑灾害遥感回溯与应急调查[J].自然灾害学报,2018,(02):043-51.[doi:10.13577/j.jnd.2018.0205]
 LI Ainong,NAN Xi,ZHANG Zhengjian,et al.Remote sensing research on development characteristics and emergency investigation of Mao County long range and high position landslide on June 24,2017[J].,2018,(02):043-51.[doi:10.13577/j.jnd.2018.0205]
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茂县“6·24”特大高位远程崩滑灾害遥感回溯与应急调查
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
期数:
2018年02期
页码:
043-51
栏目:
出版日期:
2019-04-28

文章信息/Info

Title:
Remote sensing research on development characteristics and emergency investigation of Mao County long range and high position landslide on June 24th,2017
作者:
李爱农1 南希12 张正健13 赵银兵2 汪士中4 刘睿家4
1. 中国科学院 水利部成都山地灾害与环境研究所数字山地与遥感应用中心, 四川 成都 610041;
2. 成都理工大学 地球科学学院, 四川 成都 610059;
3. 中国科学院大学, 北京 100049;
4. 四川省国防科技情报研究所, 四川 成都 610015
Author(s):
LI Ainong1 NAN Xi12 ZHANG Zhengjian13 ZHAO Yinbing2 WANG Shizhong4 LIU Ruijia4
1. Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, CAS, Chengdu 610041, China;
2. Chengdu University of Technology, Chengdu 610059, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
4. Sichuan Provincial Defense Science and Technology Information Institute, Chengdu 610015, China
关键词:
崩滑灾害隐患高位茂县高分卫星
Keywords:
landslidehidden dangerhigh positionMao CountyGaofen satellite
分类号:
TP75;X93
DOI:
10.13577/j.jnd.2018.0205
摘要:
崩滑灾害在中国广大山区易发且危害严重,针对高位远程崩滑隐患难发现、易忽视的问题,结合其常见发育机理与滑塌后岩土体运动特征,发展了基于高分辨率遥感影像的判识与评估方法,并应用国产高分系列(GF)卫星影像,在茂县"6·24"特大崩滑灾害应急中进行实证。以遥感回溯的方式,查明灾前隐患上部裂缝发育特征及前缘地表形变迹象,并综合推断隐患岩体中部"锁固段"性状与应力方向;解译得到灾害滑塌、流动、刮铲、堆积和冲击的运动分段,发现1处新成的崩滑隐患,经体积估算与灾损评估,得出此次灾害总方量约1.41×107 m3,受灾建筑面积约2.1×104 m2,损毁耕地近30 hm2。遥感回溯与应急调查结果表明,高分辨率影像判识与评估方法可以有效解析高位崩滑隐患及灾害运动特征,可为大范围内同类隐患排查和灾害调查提供方法参考与范例,并促进GF等高分辨率光学卫星的地质灾害应用。
Abstract:
Landslide is of great perniciousness in mountainous area of China. And the hazard anticipation and emergency investigation based on remote sensing information is critical to hazard prevention and mitigation. Considering the development mechanism of landslide, a specific method of remote sensing identification and evaluation was developed, with an empirical study of Mao County "6·24" long-range landslide carried out. The cracks in the trailing edge and the creep slope in the leading edge of the perilous rock were found, and the variation of which indicated that the deformation stress orientated partially to the west and a locking segment lay in the perilous rock. The landslide-debris was divided into falling, transiting, ploughing, accumulating, and air blast zone, five sections, and a potential landslide was found. By estimating, the volume of the landslide-debris is up to 1.41×107 m3, the buildings covered by the debris are about 2.1×104 m2, and about 30 hm2 of farmland is suffered. It approved that the high resolution images from GF-satellite hold great potential for landslide investigation and emergency response, which provided landslide hidden danger identifying with experience and reference.

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备注/Memo

备注/Memo:
收稿日期:2017-07-18;改回日期:2017-08-17。
基金项目:国家自然科学基金重点项目(41631180);国家重点研发计划(2016YFA0600103);中国科学院、水利部成都山地灾害与环境研究所"一三五"培育方向项目(SDS-135-1708);中国科学院、水利部成都山地灾害与环境研究所数字山地与遥感应用中心自主部署基金项目
作者简介:李爱农(1974-),男,研究员,主要从事山地定量遥感及其应用研究.E-mail:ainongli@imde.ac.cn
更新日期/Last Update: 1900-01-01