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Stability analysis of Shiwei-Labudalin Highway in Inner Mongolia, Northeastern China using Sentinel-1 InSAR.

Authors :
Shi, Xuguo
Niu, Fujun
Qu, Tengteng
Zhang, Hongwei
Jiang, Mi
Jiang, Houjun
Zhang, Zhengjia
Wang, Xueying
Source :
Cold Regions Science & Technology. Oct2022, Vol. 202, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Permafrost in Northeastern China has significantly degraded due to global warming, deforestation and urbanization in the last few decades. The frost heave and thaw subsidence induced by freeze-thaw cycles of deep seasonal frozen ground have caused serious damage to infrastructures. The Shiwei-Labudalin (Shi-La) Highway is an important infrastructure connecting Shiwei town and Labudalin town of Argun city, Inner Mongolia, which passes through the areas covered by deep seasonal frozen ground or isolated patchy permafrost. In this paper, we mapped the long-term linear displacement trend and amplitude of seasonal displacement of the Shi-La Highway and its nearby areas, with an ascending Sentinel-1 dataset acquired from September 2016 to April 2020. Seasonal displacement amplitudes of 5–20 mm are widely detected in low-lying areas (e.g., the basin of the Gen and Derbugan rivers). The time lags between frozen ground displacement and temperature variations generally range from 10 to 80 days while larger values of 100–120 days caused by soil moisture or land cover difference are also observed. Linear creep displacement rates greater than −20 mm/yr are detected on mountainous slopes and sections of the Shi-La Highway in the line-of-sight (LOS) direction. Our results provide a method for evaluating highway stability in cold regions, which is helpful to highway route selection and design in Northeastern China. • Map displacement of frozen ground in northern Inner Mongolia using InSAR. • Freeze-thaw related and creep movement were identified on Shi-La highway. • Time lags between displacement and temperature are 10–120 days in flat areas. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0165232X
Volume :
202
Database :
Academic Search Index
Journal :
Cold Regions Science & Technology
Publication Type :
Academic Journal
Accession number :
158388638
Full Text :
https://doi.org/10.1016/j.coldregions.2022.103647