Abstract

The Qinghai-Tibet Railway (QTR) is the railway with the highest elevation and longest distance in the world, spanning more than 1142 km from Golmud to Lhasa across the continuous permafrost region. Due to climate change and anthropogenic activities, geological disasters such as subsidence and thermal melt collapse have occurred in the QTR embankment. To conduct the large-scale permafrost monitoring and geohazard investigation along the QTR, we collected 585 Sentinel-1A images based on the composite index model using the multitrack time-series interferometry synthetic aperture radar (MTS-InSAR) method to retrieve the surface deformation over a 3.15 × 105 km2 area along the QTR. Meanwhile, a new method for permafrost distribution mapping based on InSAR time series deformation was proposed. Finally, the seasonal deformation map and a new map of permafrost distribution along the QTR from Golmud to Lhasa were obtained. The results showed that the estimated seasonal deformation range of the 10 km buffer zone along the QTR was −50–10 mm, and the LOS deformation rate ranged from −30 to 15 mm/yr. In addition, the deformation results were validated by leveling measurements, and the range of absolute error was between 0.1 and 4.62 mm. Most of the QTR was relatively stable. Some geohazard-prone sections were detected and analyzed along the QTR. The permafrost distribution results were mostly consistent with the simulated results of Zou’s method, based on the temperature at the top of permafrost (TTOP) model. This study reveals recent deformation characteristics of the QTR, and has significant scientific implications and applicational value for ensuring the safe operation of the QTR. Moreover, our method, based on InSAR results, provides new insights for permafrost classification on the Qinghai-Tibet Plateau (QTP).

Highlights

  • Introduction iationsPermafrost is the soil that stays frozen, with a temperature remaining at or below 0 ◦ C, for at least two consecutive years [1]

  • The purpose of this study aims to employ the multitrack time-series interferometry synthetic aperture radar (MTS-InSAR) method based on a composite index model to retrieve the ground displacement and map permafrost distribution from the Golmud to Lhasa section along the Qinghai-Tibet Railway (QTR)

  • The MTS-InSAR method based on the composite index model was used to retrieve the deformation of the QTR

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Summary

Introduction

Permafrost is the soil that stays frozen, with a temperature remaining at or below 0 ◦ C, for at least two consecutive years [1]. The thermal state of permafrost is sensitive to changing climatic conditions, especially increasing air temperatures [7]. Such changes in permafrost will have serious consequences for ecosystems, hydrological systems, and infrastructure integrity [8]. Due to the construction and operation of the Qinghai-Tibet Railway (QTR), the Qinghai-Tibet Highway (QTH), oil and gas pipelines, and the impacts of human activities on the QTP, the local topography, the surface conditions of frozen soil (vegetation, snow cover, and water), and Licensee MDPI, Basel, Switzerland

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