首页|期刊导航|三峡大学学报(自然科学版)|基于SBAS-InSAR的西藏某地区地质灾害早期识别与监测

基于SBAS-InSAR的西藏某地区地质灾害早期识别与监测OA

Early Identification and Monitoring of Geological Hazards in an Area of Tibet Based on SBAS-InSAR

中文摘要英文摘要

西藏东南地区地势陡峭,板块运动强烈,该区域的地质灾害早期识别对防灾减灾具有重要意义.本文以西藏林芝某地区为研究区,基于SBAS-InSAR技术处理研究区2023年1月至2024年3月Sentinel-IA的30幅SAR影像得到地表形变时间序列数据,并以此为基础展开了研究区的滑坡地质灾害的早期识别与监测.研究结果表明:研究区西南部雅鲁藏布江沿岸沉降形变较为集中,形变量大多在-30 mm至-50 mm范围内,东北部分整体较为平稳,有小部分抬升.形变集中区6处,结合地形地貌等因素进一步综合识别滑坡灾害5处.从所识别的滑坡灾害中选出两个典型灾害点展开形变时间序列分析,分析结果显示,这两处滑坡的形变主要受到降雨、雅鲁藏布江水位变化、土壤冻融的影响,变形主要集中在9~11月.研究结果能为高海拔地区地质灾害早期识别和监测工作提供参考.

The southeast region of Tibet is characterized by steep terrain and intense tectonic activity.Early identification of geological hazards in this area is of significant importance for disaster prevention and mitigation.This study focuses on a region in Nyingchi,Tibet,and uses SBAS-InSAR technology to process 30 SAR images from Sentinel-1A between January 2023 and March 2024,generating surface deformation time-series data.Based on this data,an early identification and monitoring of landslide geological hazards in the study area were conducted.The results indicate that the southwestern part of the study area,along the Yarlung Zangbo River,experiences concentrated subsidence,with deformation values mainly ranging from-30 mm to-50 mm.The northeastern part of the area is generally more stable,with a small section exhibiting uplift.Six deformation concentration zones were identified,and by considering factors such as topography and geomorphology,five landslide hazards were further identified.Two typical landslide sites were selected from the identified hazards for time-series deformation analysis.The results show that the deformation in these two landslides is mainly influenced by rainfall,changes in the Yarlung Zangbo River's water level,and soil freeze-thaw cycles,with deformation primarily occurring between September and November.These findings can provide valuable references for early identification and monitoring of geological hazards in high-altitude areas.

鲁晶;苗发盛;阮秋宇;钱招

中国地质大学(武汉),自然资源调查研究院,武汉 430074中国地质大学(武汉)地质探测与评估教育部重点实验室,武汉 430074||智慧地球重点实验室,北京 100029中国地质大学(武汉),自然资源调查研究院,武汉 430074中国地质大学(武汉)地质探测与评估教育部重点实验室,武汉 430074

天文与地球科学

SBAS-InSAR高海拔地区地质灾害早期识别时序分析

SBAS-InSARhigh altitude areasgeological hazardsearly identificationtemporal analy-sis

《三峡大学学报(自然科学版)》 2026 (4)

50-56,7

地质探测与评估教育部重点实验室主任基金(GLAB2024ZR03)中央高校基本科研业务费智慧地球重点实验室基金项目(KF2023YB04-02)

10.13393/j.cnki.issn.1672-948X.2026.04.007

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