首页|联合升降轨InSAR与GNSS的滑坡隐患识别与监测

联合升降轨InSAR与GNSS的滑坡隐患识别与监测

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滑坡灾害是中国最常见的地质灾害之一,对人民生命财产造成严重威胁.科学监测对实现滑坡预测预报具有重要意义.故本文以西宁市城西区张家湾滑坡为例,以该地区2019年1月至2023年4月的Sentinle-1A数据和地表GNSS观测点数据作为数据源,综合利用SBAS-InSAR和GNSS技术进行连续地表形变监测,并对其监测成果进行处理分析,形成时间序列地表形变速率图和累积形变量.实验结果表明,通过联合升降轨InSAR和GNSS技术,对沉降数据对比分析,甄别出形变异常的区域,其成果可为防控地面沉降及其灾害链的发生与发展提供基础支持.
Landslide Hazard Identification and Monitoring by Combined Lift Rail InSAR and GNSS
Landslide disaster is one of the most common geological disasters in China,which poses a serious threat to people's life and property.Scientific monitoring is of great significance to realize landslide prediction and forecasting.Therefore,this paper takes Zhangjiawan landslide in Chengxi District,Xining City as an example,takes Sentinle-1A data and surface GNSS observation point data in this area from January 2019 to April 2023 as data sources,and comprehensively utilizes the SBAS-InSAR and GNSS technologies to conduct continuous surface deformation monitoring,and processes and analyzes the results of its monitoring to form the time-series surface deformation rate map and the cumulative deformation.The experimental results show that the comparative analysis of the subsidence data and the screening of deformation anomalies through the joint lift-track InSAR and GNSS technologies can provide basic support for the prevention and control of ground subsidence and the occurrence and development of its disaster chain.

Sentinel-IAGNSSInSARdeformation monitoring

苗路望、吴靓、刘文涛、郎佳鑫、高振耀

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青海大学 地质工程系,青海 西宁

青海省地质环境监测总站,青海 西宁

Sentinel-1A GNSS InSAR 形变监测

青海省碳达峰碳中和关键技术研发和示范区建设项目国家科技重大专项

2021-SF-A7-1

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(7)
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