AI Article Synopsis

  • The Heihe River Basin, situated in the Qinghai-Tibetan Plateau, shows significant permafrost degradation, highlighted by 255 observations from various satellite and measurement data sources.
  • The study employs a novel technique called Variational Bayesian Independent Component Analysis (VB-ICA) to analyze surface deformation and active layer thickness changes, revealing a maximum thickness of 5.7 m and seasonal deformation with a peak of 60 mm.
  • This research emphasizes the effectiveness of the InSAR method in monitoring freeze-thaw patterns and highlights the growing concerns of permafrost erosion in high-elevation areas of the basin.

Article Abstract

The Heihe River Basin, located in the northeastern part of the Qinghai-Tibetan Plateau, is part of the perennial permafrost belt of the Qilian Mountains. Recent observations indicate ongoing permafrost degradation in this region. This study utilizes data from 255 observations provided by Sentinel-1 satellites, MODIS Land Surface Temperature, SMAP-L4 soil moisture data, GNSS measurements, and in situ measurement. We introduced Variational Bayesian independent Component Analysis (VB-ICA) in multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) processing to investigate the spatial-temporal characteristics of surface deformation and permafrost active layer thickness (ALT) variations. The analysis demonstrates strong agreement with borehole data and offers improvements over traditional methodologies. The maximum value of ALT in the basin is found to be 5.7 m. VB-ICA effectively delineates seasonal deformations related to the freeze-thaw cycles, with a peak seasonal deformation amplitude of 60 mm. Moreover, the seasonal permafrost's lower boundary reaches an elevation of 3700 m, revealing that permafrost is experiencing widespread degradation and associated soil erosion in the high elevation region of The Heihe River Basin. The paper also explores the efficacy of reference point selection and baseline network establishment for employing the InSAR method in monitoring freeze-thaw deformations. The study underscores the InSAR method's adaptability and its importance for interpreting permafrost deformation and related parameters.

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Source
http://dx.doi.org/10.1016/j.scitotenv.2024.175667DOI Listing

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