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Details

Autor(en) / Beteiligte
Titel
Comparison of the thermal conductivity parameterizations for a freeze-thaw algorithm with a multi-layered soil in permafrost regions
Ist Teil von
  • Catena (Giessen), 2017-09, Vol.156, p.244-251
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2017
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Soil thermodynamic properties are critical for determining the soil freezing and thawing depths of active layers which is highly important for the hydrology and energy balances of permafrost regions. Here, three soil thermal conductivity parameterizations were evaluated against detailed field measurements at two field sites in the permafrost region of Qinghai-Xizang (Tibet) Plateau (QXP). The results revealed that the comprehensive parameterization based on different schemes for calculating soil thermal conductivity is relatively close to the measured values in unfrozen soil, and Johansen's parameterization is the best in the frozen soil. Then, we first combined three thermal conductivity parameterizations with a freeze-thaw algorithm to simulate freezing and thawing depths of multi-layered soil. The analysis showed that the average percentage difference between the observed and calculated soil thawing depth values for the Johansen's and comprehensive parameterization was 10.42% and 8.49% at Tanggula (TGL) and Xidatan (XDT), receptively. It indicated that the comprehensive parameterization with freeze-thaw algorithm simulated the soil thawing depth more similarly to the observed data for multi-layered soil. These findings can also be incorporated into other land surface, hydrological or ecosystem models to simulate the freeze-thaw cycles in permafrost regions. •Compared the three soil thermal conductivity parameterizations for estimating soil thermal conductivity•Combined three thermal conductivity parameterization with thaw-freeze algorithm for multi-layered soil•Evaluated the accuracy and applicability of the methods for multi-layered soil in the permafrost regions
Sprache
Englisch
Identifikatoren
ISSN: 0341-8162
eISSN: 1872-6887
DOI: 10.1016/j.catena.2017.04.011
Titel-ID: cdi_crossref_primary_10_1016_j_catena_2017_04_011

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