期刊导航

论文摘要

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

Primary Recognition of Landslides and Development Rule Analysis for Pan “Three-River-Parallel Territory” of Tibet Plateau

作者:姚鑫(中国地质科学院地质力学研究所)

Author:姚鑫(Institute of Geomechanics, Chinese Academy of Geological Sciences)

收稿日期:2020-06-28          年卷(期)页码:2020,52(5):-

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:青藏高原;泛三江并流区;InSAR;活动滑坡;滑坡识别;发育规律

Key words:Tibet Plateau;Pan Three-parallel-rivers;InSAR;Active Landslide;Landslide Recognition;development rule

基金项目:国家重点研发计划课题(2018YFC1505002);自然科学基金项目(41672359);基本科研业务费专项(JYYWF20181501);资助成果

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。全覆盖的调查活动性滑坡、研究发育分布规律具有重要意义。以泛三江并流区17.9万km2研究区为例,示范了InSAR大数据处理→滑坡解译→变形模式识别→发育规律分析→重点区段剖析的全过程滑坡InSAR调查工作流程和关键技术,获得了研究区中小比例尺的活动性滑坡数据。研究结果表明,(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,开展全国的滑坡InSAR调查时机已经成熟;(2)设计的“相位共振增强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,有效的完成适合大区域滑坡识别的InSAR数据处理,技术上具有推广的潜力;(3)计算得到滑坡、冰川、冻胀、分散、高差五大类几十种InSAR变形图斑,以此为主要依据,辅助地貌和光学遥感图像解译,同时参考地层岩性、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)对活动性滑坡影响大的环境要素依次是河流侵蚀、地形坡度、地层岩性、降雨气温,活动构造和地震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、客观的反应了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。

英文摘要

Territory of three-parallel-rivers composing by Nujiang, Lantsang and Jinsha Rivers 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 → deformation pattern recognition → development law analysis → key sections analysis, obtained active landslide data of medium-small scale in study area. The research results show that,(1) The existing SAR data sources, InSAR technology and interpretation methods can meet the needs of small and medium-sized large-area landslide identification, and the time is ripe for complete InSAR recognition of landslide in China;(2) The "phase resonance enhanced InSAR" (PRE-InSAR) technology designed for the rapid calculation of large redundant SAR observations can eliminate most of the adverse interference conditions, highlight the location, range and activity intensity of landslides, and effectively complete the InSAR data processing suitable for large-area landslide identification, which has the potential of popularization in technology; (3) There are five-category deformations comprising landslide, glaciers, frost heave, scattered and altitude difference, referencing geomorphology and optical remote sensing images, and considering the formation and lithology, geohazard mechanism, triggering factors, combing 10 classes geomorphic development location; (4) A total of 904 active landslides were interpreted,it is 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) It is revealed that the main environmental factors that have great influence on active landslides are river erosion, topographic slope, stratigraphic lithology, rainfall and temperature in order, while the spatial distribution of active structure and earthquake is not significant. The mutual feed between landslides and human activity is 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, can provide important support for the active landslide prevention & control of Tibet Plateau, but InSAR observation and interpretation has multiple solution of active landslides. The next step is to develop a standardized InSAR identification workflow and conduct multi-source data fusion observation.

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