Air freezing and thawing indices in Yakutia and their mapping

Vasil’ev, I. S.; Vasil’ev, A. I.; Torgovkin, Yaroslav I.

doi:10.3103/s1068373912030041

Cited by 2 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During the melting period, melting snow will absorb heat from the surface soil, thus reducing surface temperature [70,71]. For the range of variability, the maximum and minimum values of the interannual range of the air/ground freezing/thawing index were significantly smaller in Heilongjiang Province than in the Yakutia region of Russia due to latitude and altitude [72] and larger than in the Heilongjiang basin [16]. The mean annual AFI over the study period was also larger than in Russia, Alaska and Canada for 1901-2015, and the mean annual ATI was smaller than in Russia and Canada and larger than in Alaska [26].…”

Section: Spatial and Temporal Characteristics Of Maat And Magstmentioning

confidence: 99%

“…There was an overall upward trend in the mean annual ATI and GTI, with the multiyear variation range of the mean annual ATI being 2827.32-3375.42 • C•d and its upward trend being 7.63 • C•d•a −1 , with the highest being in 2018 (3375.42 • C•d) and the lowest in 1972 (2827.32 • C•d). The mean annual GTI varied from 3229.21 to 4043.12 • C•d, with an upward trend of 11.89 • C•d•a −1 , with a maximum in 2014 (4043.12 • C•d) and a minimum in 1972 (3229.21 • C•d).For the range of variability, the maximum and minimum values of the interannual range of the air/ground freezing/thawing index were significantly smaller in Heilongjiang Province than in the Yakutia region of Russia due to latitude and altitude[72] and larger than in the Heilongjiang basin[16]. The mean annual AFI over the study period was also larger than in Russia, Alaska and Canada for 1901-2015, and the mean annual ATI was smaller than in Russia and Canada and larger than in Alaska[26].…”

mentioning

confidence: 94%

See 1 more Smart Citation

Spatial–Temporal Characteristics of Freezing/Thawing Index and Permafrost Distribution in Heilongjiang Province, China

et al. 2022

View full text Add to dashboard Cite

Under the trend of climate warming, the high-latitude permafrost in Heilongjiang Province is becoming seriously degraded. The question of how to quantitatively analyze the spatial and temporal trends of multi-year permafrost has become fundamental for current permafrost research. In this study, the temporal and spatial variations of annual mean air temperature (MAAT), annual mean ground temperature (MAGST) and freezing/thawing index based on air and surface temperature data from 34 meteorological stations in Heilongjiang Province from 1971–2019, as well as the variation characteristics of permafrost distribution, were analyzed based on the freezing index model. The results showed that both MAAT and MAGST in Heilongjiang Province tended to decrease with the increase of altitude and latitude. For interannual variation, the MAAT and MAGST warming rates tended to be consistent across Heilongjiang Province, with multi-year variation from −8.64 to 5.60 °C and from −6.52 to 7.58 °C, respectively. From 1971–2019, the mean annual air freezing index (AFI) and ground surface freezing index (GFI) declined at −5.07 °C·d·a−1 and −5.04 °C·d·a−1, respectively, whereas the mean annual air thawing index (ATI) and ground surface thawing index (GTI) were elevated at 7.63 °C·d·a−1 and 11.89 °C·d·a−1, respectively. The spatial distribution of the multiyear mean AFI, ATI, GFI and GTI exhibited a latitudinal trend, whereas the effect of altitude in the northern mountainous areas was greater than that of latitude. Permafrost was primarily discovered in the Daxing’an and Xiaoxing’an Mountains in the north, and sporadically in the central mountainous regions. The southern boundary of permafrost shifted nearly 2° to the north from 1970 to 2010s, while the southern boundary of permafrost in Heilongjiang Province was stable at nearly 51° N. The total area of permafrost narrowed from 1.11 × 105 km2 in the 1970s to 6.53 × 104 km2 in the 2010s. The results of this study take on a critical significance for the analysis of the trend of perennial permafrost degradation at high latitudes in Heilongjiang Province and the whole northeastern China, as well as for mapping the distribution of large areas of permafrost using the freezing index model. This study provides a reference for natural cold resource development, ecological protection, climate change and engineering construction and maintenance in permafrost areas.

show abstract