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首页> 外文期刊>Cold regions science and technology >Comparison of different soil temperature algorithms in permafrost regions of Qinghai-Xizang (Tibet) Plateau of China
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Comparison of different soil temperature algorithms in permafrost regions of Qinghai-Xizang (Tibet) Plateau of China

机译：青藏高原多年冻土区不同土壤温度算法的比较

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摘要

Soil thermal diffusivity is a crucial physical parameter that affects soil temperature. By applying sinusoidal boundary conditions, an analytical solution using separated variables for the heat conduction-convection equation was developed. The thermal diffusivity and liquid water flux density were calculated with data collected at field observation sites in permafrost regions of Qinghai-Xizang (Tibet) Plateau (QXP). By taking the soil layer at the depth of 5 cm as the upper boundary, the soil temperature at a depth of 10 cm was modeled by the thermal conduction-convection method, amplitude method and phase method. The statistical analysis of the standard error of the estimate (SEE), the normalized standard error (NSEE) and the root mean square error (RMSE) demonstrated that the thermal conduction-convection method provided the most accurate prediction of soil temperature, with average SEE, NSEE, and RMSE of 0.72 degrees C, 9.26% and 0.72 degrees C, respectively. The thermal conduction-convection method provides a useful tool for calculating soil thermal parameters, simulating soil temperature and land surface processes parameterization for permafrost changes modelling under global warming. (C) 2016 Elsevier B.V. All rights reserved.
机译：土壤热扩散率是影响土壤温度的关键物理参数。通过应用正弦边界条件，开发了使用分离变量的热传导对流方程的解析解。利用在青藏高原（QXP）多年冻土区现场观测点收集到的数据，计算了热扩散率和液态水通量密度。以5 cm深度的土壤层为上限，采用热导-对流法，振幅法和相位法模拟了10 cm深度的土壤温度。对估计标准误差（SEE），归一化标准误差（NSEE）和均方根误差（RMSE）的统计分析表明，热传导-对流方法提供了最准确的土壤温度预测，平均SEE ，NSEE和RMSE分别为0.72摄氏度，9.26％和0.72摄氏度。热传导-对流方法为计算土壤热参数，模拟土壤温度和地表过程参数化，为全球变暖下的多年冻土变化建模提供了有用的工具。 （C）2016 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Cold regions science and technology》 |2016年第10期|1-7|共7页
  • 作者

    Hu Guojie; Zhao Lin; Wu Xiaodong; Li Ren; Wu Tonghua; Xie Changwei; Qiao Yongping; Cheng Guodong;

  • 作者单位

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Xizang Plateau, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Xizang Plateau, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Xizang Plateau, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Xizang Plateau, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Xizang Plateau, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Xizang Plateau, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Xizang Plateau, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Xizang Plateau, Lanzhou 730000, Gansu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Soil temperature; Soil thermal diffusivity; Water flux density; Thermal conduction-convection; Analytical solution;

    机译：土壤温度;土壤热扩散率;水通量密度;热传导-对流;解析解;

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