Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Comparison of different soil temperature algorithms in permafrost regions of Qinghai-Xizang (Tibet) Plateau of China
https://orcid.org/0000-0002-5428-0445
Abstract 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 5cm as the upper boundary, the soil temperature at a depth of 10cm 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°C, 9.26% and 0.72°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.
Highlights Solved the one-dimensional heat conduction-convection equation Calculated soil thermal diffusivity, water flux density by different methods Compared different methods for simulating soil temperature in the permafrost regions
Comparison of different soil temperature algorithms in permafrost regions of Qinghai-Xizang (Tibet) Plateau of China
https://orcid.org/0000-0002-5428-0445
Abstract 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 5cm as the upper boundary, the soil temperature at a depth of 10cm 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°C, 9.26% and 0.72°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.
Highlights Solved the one-dimensional heat conduction-convection equation Calculated soil thermal diffusivity, water flux density by different methods Compared different methods for simulating soil temperature in the permafrost regions
Comparison of different soil temperature algorithms in permafrost regions of Qinghai-Xizang (Tibet) Plateau of China
https://orcid.org/0000-0002-5428-0445
Abstract 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 5cm as the upper boundary, the soil temperature at a depth of 10cm 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°C, 9.26% and 0.72°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.
Highlights Solved the one-dimensional heat conduction-convection equation Calculated soil thermal diffusivity, water flux density by different methods Compared different methods for simulating soil temperature in the permafrost regions
Comparison of different soil temperature algorithms in permafrost regions of Qinghai-Xizang (Tibet) Plateau of China
Hu, Guojie (Autor:in) / Zhao, Lin (Autor:in) / Wu, Xiaodong (Autor:in) / Li, Ren (Autor:in) / Wu, Tonghua (Autor:in) / Xie, Changwei (Autor:in) / Qiao, Yongping (Autor:in) / Cheng, Guodong (Autor:in)
Cold Regions, Science and Technology ; 130 ; 1-7
16.07.2016
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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