Climate warming-induced permafrost degradation significantly impacts the safe operation of road infrastructure, leading to the increased prevalence of embankment diseases (ED). To compare the differences in ED under different permafrost distributions and local factors, this study examines two important highways located in different regions: the Qinghai-Tibet Highway (QTH) and the Gonghe-Yushu Expressway (GYE). Statistical analysis and machine learning techniques were used to assess the types and characteristics of ED and to investigate their relationship with local factors. The analysis also explores how permafrost degradation, crack propagation, and moisture infiltration contribute to ED development. Furthermore, the study explores the causes of significant variations in ED across different highways (ordinary national road and expressway). Results indicate that ED in Qinghai Province are primarily characterized by cracks. In the southern GYE region, block, transverse, longitudinal, and alligator cracking make up 93.13 % of total ED, while 73.36 % of ED in the western QTH region are crack-related. The overall occurrence rate of ED on the QTH is much higher than that on the GYE. ED are strongly correlated with factors such as volumetric ice content (VIC), aspect, mean annual ground temperature (MAGT), and mean annual precipitation (MAP) (p ≤ 0.0001, r > 0). MAGT, VIC, and MAP significantly influence cumulative disease areas, pavement damage rates, and the International Roughness Index. These findings provide important insights into the challenges faced by road infrastructure in permafrost regions of Qinghai Province, offering guidance for future construction and maintenance strategies.
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