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首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Comparison of the thermal conductivity parameterizations for a freeze-thaw algorithm with a multi-layered soil in permafrost regions
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Comparison of the thermal conductivity parameterizations for a freeze-thaw algorithm with a multi-layered soil in permafrost regions

机译:多冻土中多层土壤热导率参数的热传导参数比较

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摘要

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.
机译:土壤热力学性质对于确定热冻土和能量余量的活性层的土壤冷冻和解冻深度至关重要。这里,在青海 - Xizang(西藏)高原(QXP)的Permafrost地区的两个场地进行了三种土壤导热系参数化。结果表明,基于不同方案的计算土壤导热系数的综合参数化相对接近未分解的土壤中的测量值,约翰森的参数化是冻土中最好的。然后,我们首先使用冻融算法组合三个热导率参数化,以模拟多层土壤的冻结和解冻深度。分析表明,约翰森和综合参数化的观察和计算的土壤解冻深度值之间的平均差异为10.42%和8.49%,在Tangula(TGL)和8.49%。西达坦(XDT),接受。它表明,与冻融算法的综合参数化模拟了土壤解冻深度,与观察到的多层土壤的数据相似。这些发现也可以纳入其他地表,水文或生态系统模型,以模拟多余地区的冻融循环。

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