This dataset takes the high latitude permafrost region in Northeast China as the research object, and comprehensively utilizes multi-source remote sensing data with a spatial resolution of 30 meters, surface and underground temperature monitoring data, permafrost type distribution, and engineering interference information to construct a model for predicting and evaluating the stability of permafrost engineering foundations. This dataset quantitatively evaluates the basic stability along the linear engineering line and its impact range. The evaluation results are characterized by a dimensionless stability index ranging from 0.0 to 1.0, revealing the destructive effect of human engineering activities on the thermal balance of permafrost. The data exhibits a significant "linear focus" feature, where the low stability and high risk zones overlap highly with transportation and energy corridors, providing core decision support for regional scale engineering planning and frost damage risk prevention and control.
The core element of this dataset is the stability index (dimensionless, 0-1), which is divided into three levels based on risk level:
High stability zone (0-0.30): Low risk, displayed in green. Mainly distributed within large areas of discontinuous permafrost, with low ground temperature, stable active layer, and minimal interference.
Medium stable zone (0.30-0.60): medium risk, displayed in yellow. Distributed in the transition zone from discontinuous frozen soil with more melting areas to island/sporadic frozen soil.
Low stability zone (0.60-1.0): High risk, displayed in red.
Highly concentrated along linear engineering (G111, G331, CRCOP pipelines, etc.), forming continuous or quasi continuous high-risk zones.
By comprehensively utilizing multi-source remote sensing data with a spatial resolution of 30 meters, publicly available climate, anthropogenic and other multi-source remote sensing data, frozen soil type distribution and engineering interference information, a quantitative evaluation model for predicting and evaluating the stability of frozen soil engineering foundations is constructed.
Model construction: Integrate ground temperature, frozen soil characteristics, active layer thickness, and anthropogenic thermal disturbance factors.
Risk classification: High, medium, and low stability levels are classified based on the stability index (0-1).
Typical area verification:
Mohe Hub Section: Analyze the thermal disturbance diffusion caused by roadbed heat absorption in areas with high ice content.
Xinlin section: Evaluate the composite disturbance superposition effect generated by the parallel operation of highways and railways.
Heihe/Jinsong section: Conduct stability transition analysis on the degradation critical state of the sensitive area of the southern boundary of frozen soil (SLLP).
(1) Resource accuracy: The spatial resolution of this resource is accurate to 30 meters, and the evaluation index adopts dimensionless values (0.0 to 1.0), which can capture the stability fluctuations within a buffer range of 3 to 5 kilometers inside and around the linear engineering corridor in detail.
(2) Data collection and monitoring: The evaluation model integrates surface parameters retrieved from satellite remote sensing, underground temperature monitoring sequences of typical cross-sections and field points in the study area, and high-precision linear engineering survey data as input items.
(3) Model methods and standards: The stability assessment algorithm comprehensively considers the thermal stability of permafrost, the distribution characteristics of permafrost, and the disturbance intensity of underlying surface engineering. The model effectively reflects the potential risk of engineering foundation instability through quantitative simulation of vegetation thermal insulation weakening and water and heat flux disturbance.
(4) Scope of application and verification: The resource quality has been compared and verified in typical areas such as the Mohe Hub section (high ice content area), Xinlin section (composite engineering disturbance area), and Heihe edge section (southern highly sensitive area). The evaluation results have a high degree of spatial consistency with the distribution of road surface uneven settlement, wavy undulations and other diseases in field investigations, which is suitable for the stability assessment of engineering foundations in cold regions, early warning of disasters, and research on environmental change response.
| # | number | name | type |
| 1 | 2022FY100700 | Survey of Permafrost Conditions and Freeze-Thaw Damage in the High-Latitude Regions of Northeast China | Basic Resource Survey Project |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.NCDC.NIEER.DB7261.2026
10.12072/ncdc.nieer.db7261.2026
