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工程科学与技术:2020,52(5):16-37
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青藏高原泛三江并流区活动性滑坡InSAR初步识别与发育规律分析
(1.中国地质科学院地质力学研究所 新构造运动与地质灾害重点实验室,北京 100081;2.四川大学 水力学与山区河流开发保护国家重点实验室水利水电学院,四川 成都 610065;3.合肥工业大学 资源与环境工程学院,安徽 合肥 230009;4.中国地质大学(北京) 工程技术学院,北京 100083;5.北京工业大学 建筑工程学院,北京 100124)
Primary Recognition of Active Landslides and Development Rule Analysis for Pan Three-river-parallel Territory of Tibet Plateau
(1.Key Lab. of Neotectonic Movement and Geohazard, Inst. of Geomechanics,Chinese Academy of Geological Sciences, Beijing 100081, China;2.State Key Lab. of Hydraulics and Mountain River Eng., College of Water Resource & Hydropower, Sichuan Univ., Chengdu 610065, China;3.School of Resources and Environmental Eng., Hefei Univ. of Technol., Hefei 230009, China;4.College of Eng. and Technol., China Univ. ofGeosciences (Beijing), Beijng 100083, China;5.College of Construction Eng., Beijing Univ. of Technol., Beijng 100124, China)
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投稿时间:2020-06-28    修订日期:2020-09-03
中文摘要: 青藏高原的怒江、澜沧江和金沙江泛三江并流区是青藏高原地质环境研究和自然资源开发的关键带,因此,全覆盖地调查该区活动性滑坡,研究其发育分布规律具有重要意义。以泛三江并流区17.9×104 km2研究区为例,示范了InSAR大数据处理→滑坡解译→发育规律分析→重点区段剖析的滑坡InSAR调查工作流程和关键技术,获得了研究区海拔4 000 m以下的的活动性滑坡数据。结果表明:1)现有的SAR数据源、InSAR技术和解译方法可以满足开展大区域中小比例尺活动性滑坡识别的需求,开展全国滑坡InSAR调查时机已经成熟;2)设计的“相位共振增强PRE-InSAR”技术,针对大冗余SAR观测的快速计算,可以消除大部分不利的干涉条件,突出滑坡的位置、范围和活动强度,有效地完成适合大区域滑坡识别的InSAR数据处理,技术上具有推广潜力;3)辅助地貌和光学遥感图像解译,考虑地层岩性、制灾机理、诱发因素,总结出三江并流区活动性滑坡的10类发育地貌位置;4)共解译海拔4 000 m以下活动性滑坡904处,主要分布在金沙江的汪布堆-波罗、松雄、中心绒,怒江的八宿,澜沧江的察雅、囊谦、德钦、黄登水库8个区段;5)活动性滑坡主要是古(老)滑坡堆积体的复活,对其影响大的环境要素依次是河流侵蚀、地形坡度、地层岩性、降水气温,活动构造和地震对活动性滑坡的影响在空间分布上并不直接显著,地灾与人类活动互馈是本区域滑坡发育的一大特点;6)InSAR识别结果较全面、客观地反映了活动性滑坡的自然发育规律,加深了对泛三江地区滑坡灾害的认识,但也应该看到,InSAR观测和活动性滑坡的解译具有多解性,制定标准化的InSAR识别工作流程,进行多源数据的融合观测是下一步努力的方向。
Abstract:Territory of Three-parallel-rivers composing by Nu River, Lantsang River and Jinsha River in Tibet Plateau is a key zone for the study of the geological environment and nature resource development of Tibet Plateau. The investigation of active landslides in full coverage, the study of their development and distribution rule not only play an important role in slope disaster reduction and prevention, but also in geological science research. Take the 179 000 km2 study area of the Pan-three-river parallel catchment as an example. It is demonstrated the workflow and key technologies of the whole process: InSAR big data processing → landslide interpretation → development law analysis → key sections analysis, obtained active landslide data under 4 000 asl of medium-small scale in study area. The research results showed that, 1) The existing SAR data sources, InSAR technology and interpretation methods could meet the needs of small and medium-sized large-area landslide identification, and the time was ripe for complete InSAR recognitions of landslides in China; 2) The "phase resonance enhanced InSAR" (PRE-InSAR) technology designed for the rapid calculation of large redundant SAR observations could eliminate most of the adverse interference conditions, highlight the location, range and activity intensity of landslides, and effectively completed the InSAR data processing suitable for large-area landslide identification, which had the potential of popularization in technology; 3) Geomorphology and optical remote sensing images, and considering the formation and lithology, geohazard mechanism, triggering factors, combing 10 classes geomorphic development locations; 4) A total of 904 active landslides under 4 000 asl were interpreted, and they were mainly distributed in eight sections of three-river, namely, Wangbudui-Paoluo, Songxiong, Zhongzunong of Jinsha River; Basu of Nu River; Chaya, Chaya-Deqin and Huangdeng Reservoir of Lantsang River; 5) Active landslides are mainly the revival of ancient (old) landslides. It was revealed that the main environmental factors that had great influences on active landslides were river erosion, topographic slope, stratigraphic lithology, rainfall and temperature in order, while the spatial distribution of active structure and earthquake was not significant. The mutual feed between landslides and human activity was a major characteristic of the development of landslides in this region; 6) InSAR identification results more comprehensive and objective in reflecting the rules of the natural development of landslide, deepened to the understanding of the three-river region geohazard, could provide important support for the active landslide prevention & control of Tibet Plateau, but InSAR observation and interpretation had multiple solutions of active landslides. The next step is to develop a standardized InSAR identification workflow and conduct multi-source data fusion observation.
文章编号:202000529     中图分类号:P694    文献标志码:
基金项目:国家重点研发计划项目(2018YFC1505002);基本科研业务费专项(JYYWF20181501);国家自然科学基金项目(41672359;41807299);中国地质调查局工作项目(DD20190717)
作者简介:姚鑫(1978-),男,研究员.研究方向:地质灾害与InSAR.E-mail:yaoxingphd@163.com
引用文本:
姚鑫,邓建辉,刘星洪,周振凯,姚佳明,戴福初,任开瑀,李凌婧.青藏高原泛三江并流区活动性滑坡InSAR初步识别与发育规律分析[J].工程科学与技术,2020,52(5):16-37.
YAO Xin,DENG Jianhui,LIU Xinghong,ZHOU Zhenkai,YAO Jiaming,DAI Fuchu,REN Kaiyu,LI Lingjing.Primary Recognition of Active Landslides and Development Rule Analysis for Pan Three-river-parallel Territory of Tibet Plateau[J].Advanced Engineering Sciences,2020,52(5):16-37.