Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique

Ma, Shen; Zhao, Jinling; Chen, Ji; Shou-hong, Zhang; Dong, Tianchun; Yang, Bin; Hou, Xingsong; Liu, Guojun

doi:10.3390/rs15010208

Cited by 4 publications

(5 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We consider that this may be because the spatial distribution of soil types is characterized by latitudinal zonation [69], but the NCPZ has a small latitudinal span and a relatively homogeneous type of soil spatial distribution. In addition, Lloyd et al [70], in studying the relationship between soil freezing and soil moisture in Alaska, USA, found that the relationship was not significant, which was different from the results of our study and that of Ma et al [71], which may be due to the differences in the study area and climate. The high latitude of Alaska, USA, is cold year-round, while the warmer climate of the NCPZ makes GSTs susceptible to a variety of factors.…”

Section: Sfds and Influencing Factorscontrasting

confidence: 99%

Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China

Yang,

Xiao,

et al. 2024

Land

View full text Add to dashboard Cite

Surface freezing and thawing processes pose significant influences on surface water and energy balances, which, in turn, affect vegetation growth, soil moisture, carbon cycling, and terrestrial ecosystems. At present, the changes in surface freezing and thawing states are hotspots of ecological research, but the variations of surface frozen days (SFDs) are less studied, especially in the permafrost areas covered with boreal forest, and the influence of the environmental factors on the SFDs is not clear. Utilizing the Advanced Microwave Scanning Radiometer for EOS (AMSRE) and Microwave Scanning Radiometer 2 (AMSR2) brightness temperature data, this study applies the Freeze–Thaw Discriminant Function Algorithm (DFA) to explore the spatiotemporal variability features of SFDs in the Northeast China Permafrost Zone (NCPZ) and the relationship between the permafrost distribution and the spatial variability characteristics of SFDs; additionally, the Optimal Parameters-based Geographical Detector is employed to determine the factors that affect SFDs. The results showed that the SFDs in the NCPZ decreased with a rate of −0.43 d/a from 2002 to 2021 and significantly decreased on the eastern and western slopes of the Greater Khingan Mountains. Meanwhile, the degree of spatial fluctuation of SFDs increased gradually with a decreasing continuity of permafrost. Snow cover and air temperature were the two most important factors influencing SFD variability in the NCPZ, accounting for 83.9% and 74.8% of the spatial variation, respectively, and SFDs increased gradually with increasing snow cover and decreasing air temperature. The strongest explanatory power of SFD spatial variability was found to be the combination of air temperature and precipitation, which had a coefficient of 94.2%. Moreover, the combination of any two environmental factors increased this power. The findings of this study can be used to design ecological environmental conservation and engineer construction policies in high-latitude permafrost zones with forest cover.

show abstract

Section: Sfds and Influencing Factorscontrasting

confidence: 99%

Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China

Yang,

Xiao,

et al. 2024

Land

View full text Add to dashboard Cite

show abstract

“…The definition of the QTEC lacks clarity and is often understood as the area along the QTH or QTR within a certain range, or a combination of both within a specific boundary. The boundary distance is a subject of debate, with values such as 5 km, 10 km, and 20 km being commonly used [6,7,53]. This area is typically classified as a buffer zone.…”

Section: Study Area Overviewmentioning

confidence: 99%

Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China

Chen

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

Against the background of global warming, permafrost areas are facing increasing thawing, and the threat to the surface of the Qinghai–Tibet Engineering Corridor (QTEC) is serious. It is imperative to understand the current surface deformation and analyze the changes spatiotemporal characteristics for future warnings. At present, observation of a long time series and overall coverage of vertical ground deformation in QTEC are lacking. This paper takes the permafrost deformation of the QTEC as its research object. It uses the pretreated LiCSAR product and combines it with the LiCSBAS package to obtain monitoring results of the long time series deformation of the engineering corridor’s surface. The SAR image acquisition date is taken as the constraint, the results covering the whole processing area are selected, and then the vertical deformation information covering the entire engineering corridor area by ignoring the north–south displacement is calculated. The results show that the surface of the study area, as a whole, slightly subsided between May 2017 and March 2022, and the vertical deformation rate was mostly distributed at −27.068 mm/yr − 18.586 mm/yr, with an average of −1.06 mm/yr. Vertical deformation dominated at 52.84 percent of the study area, of which settlement accounted for 27.57 percent and uplift accounted for 25.27 percent. According to the statistics of the normal distribution of deformation velocity per pixel, a total of 77% of the engineering corridor was stable, with a vertical deformation rate between −6.964 mm/yr and −4.844 mm/yr, and 17.7% of the region was sub-stable, with a settling rate of −12.868 mm/yr − –6.964 mm/yr. The unstable regions included areas with settlement rates greater than 12.868 mm/yr and uplift rates greater than 10.748 mm/yr, representing 4.4 percent and 0.9 percent of the total area, respectively, for a total of 5.3 percent. The results of this paper can be used as the theoretical basis and as basic data for decision making and scientific research in various departments, and they are of great significance for surface stability assessment and early warnings along engineering corridors and traffic projects.

show abstract

“…The freezing (thawing) index represents the cumulative sum of temperatures below (above) 0 • C during a freezing (thawing) period [32][33][34]. To maintain the continuity of the freezing period, we defined the freezing period from 1 July of one year to 30 June of the following year.…”

Section: Freezing-thawing Indexmentioning

confidence: 99%

Risk Assessment of Freezing–Thawing Hazards in the Daxing’anling Forest Region

Chen,

Huang

2023

Atmosphere

View full text Add to dashboard Cite

The Daxing’anling forest region represents a crucial forestry hub in China and confronts some of the nation’s most severe freezing–thawing hazards. This study delved into the temporal trends and spatial distributions of various parameters related to freezing and thawing, including air temperature, ground surface temperature, freezing index, thawing index, and freezing–thawing frequency. Furthermore, this study assessed and delineated freezing–thawing hazards within the research area. The findings revealed a rapid increase in air temperature and ground surface temperature within the Daxing’anling forest region yet a lower rate of increase in ground surface temperature compared to Northeast China. Latitude had the strongest influence on mean annual air temperature, mean annual ground surface temperature, air freezing index, air thawing index, ground surface freezing index, ground surface thawing index, air freezing–thawing frequency, and ground surface freezing–thawing frequency, followed by longitude and elevation. Overall, freezing index, and air freezing–thawing frequency increased from south to north, whereas mean annual air temperature, mean annual ground surface temperature, air thawing index, ground surface thawing index, and ground surface freezing–thawing frequency decreased from south to north. The assessment outcomes underscore the importance of closely monitoring freezing–thawing hazards in regions north of the 50th parallel.

show abstract

Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique

Cited by 4 publications

References 58 publications

Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China

Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China

Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China

Risk Assessment of Freezing–Thawing Hazards in the Daxing’anling Forest Region

Contact Info

Product

Resources

About