基于SBAS-InSAR对盐湖地区进行冻土形变监测  

Deformation Monitoring of Frozen Soil in Salt Lake Area Based on SBAS-InSAR

作　　者：黄淞波 常占强[2] 谢酬[3] 田邦森[3] 

机构地区：[1]首都师范大学,城市环境过程和数字模拟国家重点实验室,北京 中国科学院,空天信息研究院,北京 [2]首都师范大学,城市环境过程和数字模拟国家重点实验室,北京 [3]中国科学院,空天信息研究院,北京

出　　处：《地球科学前沿（汉斯）》2020年第2期100-120,共21页Advances in Geosciences

摘　　要：近些年来盐湖湖水面积迅速扩大,永久冻土稳定性遭到破坏,永久冻土的退化及周期性变化会破坏基础设施、寒区的生态水文环境以及引发地质灾害。本文基于开源ISCE平台对传统SBAS-InSAR方法作出改进,通过添加解缠误差校正和降噪来对盐湖区域121景Sentinel-1影像进行分析,得到该地2014~2019年的形变时间序列,以此来对基础设施及潜在地质灾害进行分析。结果表明研究区域地表总体处于不断沉降的趋势,最大年均沉降量可达到?6.59 ±0.10 [cm/yr],累积最大沉降量已达到?31.81 cm,随季节发生“热熔冻胀”周期性形变,且存在形变延迟效应,青藏公路、铁路东北段形变强于西南段,山体存在多处堆积垮塌隐患点,最大年均堆积量可达到11.69 ±0.07 [cm/yr],累积最大堆积量已达到55.13 cm。In recent years, with the rapid expansion of the water area of the salt lake, the stability of perma-frost has been destroyed. The degradation and periodic change of permafrost will damage the in-frastructure, the ecological and hydrological environment in the cold region and cause geological disasters. Based on the open source ISCE platform, this paper improves the traditional SBAS-InSAR method, analyzes 121 sentinel-1 images in the Salt Lake area by adding the error correction and noise reduction, and obtains the deformation time series of 2014-2019 in this area, so as to analyze the infrastructure and potential geological disasters. The results show that the land surface in the study area is in the trend of continuous settlement, the maximum annual average settlement can reach ?6.59 ±0.10 [cm/yr], the cumulative maximum settlement has reached ?31.81 cm, and the periodic deformation of “hot melt and frost heave” occurs with the season, and there is deformation delay effect. The deformation in the northeast section of Qinghai Tibet Road and railway is stronger than that in the southwest section, and there are many potential points of accumulation and collapse in the mountain body, the maximum annual settlement can reach 11.69 ±0.07 [cm/yr], and the maximum accumulation has reached 55.13 cm.

关 键 词：形变监测 冻土 SBAS 时间序列分析 相位优化 

分 类 号：U41[交通运输工程—道路与铁道工程]