An analytical model for estimating soil temperature profiles on the Qinghai-Tibet Plateau of China

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• 作者：Guojie Hu ; Lin Zhao ; Xiaodong Wu ; Ren Li ; Tonghua Wu ; Changwei Xie…
• 关键词：soil temperature ; heat conduction equation ; daily amplitude ; boundary condition
• 刊名：Journal of Arid Land
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：8
• 期：2
• 页码：232-240
• 全文大小：496 KB
• 参考文献：Bond-Lamberty B, Thomson A. 2010. Temperature-associated increases in the global soil respiration record. Nature, 464(7288): 579–582.CrossRef
  Canadell J G, Le Quéré C, Raupach M R, et al. 2007. Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. Proceedings of the National Academy of Sciences of the United States of America, 104(47): 18866–18870.CrossRef
  Carson J E. 1963. Analysis of soil and air temperatures by Fourier techniques. Journal of Geophysical Research, 68(8): 2217–2232.CrossRef
  Costello T A, Horst W J. 1991. Soil temperature sensor installation: a comparison of two methods. Transactions of the ASAE, 34(3): 904–908.CrossRef
  Elias E A, Cichota R, Torriani H H, et al. 2004. Analytical soil-temperature model: correction for temporal variation of daily amplitude. Soil Science Society of America Journal, 68(3): 784–788.CrossRef
  Gao Z Q, Fan X G, Bian L G. 2003. An analytical solution to one-dimensional thermal conduction-convection in soil. Soil Science, 168(2): 99–107.CrossRef
  Gao Z Q. 2005. Determination of soil heat flux in a Tibetan short-grass prairie. Boundary-Layer Meteorology, 114(1): 165–178.CrossRef
  Gao Z Q, Lenschow D H, Horton R, et al. 2008. Comparison of two soil temperature algorithms for a bare ground site on the Loess Plateau in China. Journal of Geophysical Research: Atmospheres, 113(D18): D18105, doi: 10.1029/2008JD010285.CrossRef
  Guaraglia D O, Pousa J L, Pilan L. 2001. Predicting temperature and heat flow in a sandy soil by electrical modeling. Soil Science Society of America Journal, 65(4): 1074–1080.CrossRef
  Hillel D. 1982. Introduction to Soil Physics. New York: Academic Press.
  Holmes T R H, Owe M, De Jeu R A M, et al. 2008. Estimating the soil temperature profile from a single depth observation: A simple empirical heatflow solution. Water Resources Research, 44(2): W02412, doi: 10.1029/2007WR005994.CrossRef
  Hopmans J W, Šimunek J, Bristow K L. 2002. Indirect estimation of soil thermal properties and water flux using heat pulse probe measurements: Geometry and dispersion effects. Water Resources Research, 38(1), doi: 10.1029/2000WR000071.
  Horton R, Wierenga P J. 1983. Estimating the soil heat flux from observations of soil temperature near the surface. Soil Science Society of America Journal, 47(1): 14–20.CrossRef
  Huang F, Zhan W F, Ju W M, et al. 2014. Improved reconstruction of soil thermal field using two-depth measurements of soil temperature. Journal of Hydrology, 519(Part A): 711–719.CrossRef
  Jencso K G, McGlynn B L, Gooseff M N, et al. 2009. Hydrologic connectivity between landscapes and streams: Transferring reach- and plot-scale understanding to the catchment scale. Water Resources Research, 45(4): W04428, doi: 10.1029/2008WR007225.CrossRef
  Kirschbaum M U F. 2006. The temperature dependence of organic-matter decomposition-still a topic of debate. Soil Biology and Biochemistry, 38(9): 2510–2518.CrossRef
  Kusuda T. 1975. The effect of ground cover on earth temperature. In: Proceedings of Conference on Alternatives in Energy Conservation: The Use of Earth-covered Buildings. Texas: Forth Worth, 9–12.
  Li R, Zhao L, Wu T H, et al. 2014. Investigating soil thermodynamic parameters of the active layer on the northern Qinghai-Tibetan Plateau. Environmental Earth Sciences, 71(2): 709–722.CrossRef
  Liu H Z, Tu G, Dong W J, et al. 2006. Seasonal and diurnal variations of the exchange of water vapor and CO2 between the land surface and atmosphere in the semi-arid area. Chinese Journal of Atmospheric Sciences, 30(1): 108–118. (in Chinese)
  Mihalakakou G. 2002. On estimating soil surface temperature profiles. Energy and Buildings, 34(3): 251–259.CrossRef
  Niu G Y, Sun S F, Hong Z X. 1997. Numerical simulation on water and heat transport in the desert soil and atmospheric boundary layer. Acta Meteorologica Sinica, 55(4): 398–407. (in Chinese)
  Núñez C M, Varas E A, Meza F J. 1983. Modelling soil heat flux. Theoretical and Applied Climatology, 100(3): 251–260.
  Paul K I, Polglase P J, Smethurst P J, et al. 2004. Soil temperature under forests: a simple model for predicting soil temperature under a range of forest types. Agricultural and Forest Meteorology, 121(3–4): 167–182.CrossRef
  Qian B D, Gregorich E G, Gameda S, et al. 2011. Observed soil temperature trends associated with climate change in Canada. Journal of Geophysical Research: Atmospheres, 116(D2): D02106, doi: 10.1029/2010JD015012.CrossRef
  Riveros-Iregui D A, McGlynn B L, Marshall L A, et al. 2011. A watershed-scale assessment of a process soil CO2 production and efflux model. Water Resources Research, 47(10): W00J04, doi: 10.1029/2010WR009941.CrossRef
  Thornton P E, Law B E, Gholz H L, et al. 2002. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agricultural and Forest Meteorology, 113(1–4): 185–222.CrossRef
  Toosi E R, Schmidt J P, Castellano M J. 2014. Soil temperature is an important regulatory control on dissolved organic carbon supply and uptake of soil solution nitrate. European Journal of Soil Biology, 61: 68–71.CrossRef
  van Wijk W R. 1963. Periodic temperature variations in a homogeneous soil. In: van Wijk W R. Physics of Plant Environment. Amsterdam: North-Holland Publishing.
  Wang L L, Gao Z Q, Horton R, et al. 2012. An analytical solution to the one-dimensional heat conduction-convection equation in soil. Soil Science Society of America Journal, 76(6): 1978–1986.CrossRef
  Xiao Y, Zhao L, Dai Y J, et al. 2013. Representing permafrost properties in CoLM for the Qinghai-Xizang (Tibetan) Plateau. Cold Regions Science and Technology, 87: 68–77.CrossRef
  Yang K, Bai D, Hao X Q, et al. 2009. Identification of soil hydraulic properties based on genetic algorithm. Transactions of the CSAE, 25(9): 32–35. (in Chinese)
  Zhang T, Barry R G, Gilichinsky D, et al. 2001. An amplified signal of climatic change in soil temperatures during the last century at Irkutsk, Russia. Climatic Change, 49(1–2): 41–76.CrossRef
  
• 作者单位：Guojie Hu (1)
  Lin Zhao (1)
  Xiaodong Wu (1)
  Ren Li (1)
  Tonghua Wu (1)
  Changwei Xie (1)
  Yongping Qiao (1)
  Jianzong Shi (1)
  Guodong Cheng (1)
  
  1. Cryosphere Research Station on Qinghai-Xizang Plateau/State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, China
  
• 刊物主题：Physical Geography; Plant Ecology; Sustainable Development;
• 出版者：Springer Berlin Heidelberg

文摘

Soil temperature is a key variable in the control of underground hydro-thermal processes. To estimate soil temperature more accurately, this study proposed a solution method of the heat conduction equation of soil temperature (improved heat conduction model) by applying boundary conditions that incorporate the annual and diurnal variations of soil surface temperature and the temporal variation of daily temperature amplitude, as well as the temperature difference between two soil layers in the Tanggula observation site of the Qinghai-Tibet Plateau of China. We employed both the improved heat conduction model and the classical heat conduction model to fit soil temperature by using the 5 cm soil layer as the upper boundary for soil depth. The results indicated that the daily soil temperature amplitude can be better described by the sinusoidal function in the improved model, which then yielded more accurate soil temperature simulating effect at the depth of 5 cm. The simulated soil temperature values generated by the improved model and classical heat conduction model were then compared to the observed soil temperature values at different soil depths. Statistical analyses of the root mean square error (RMSE), the normalized standard error (NSEE) and the bias demonstrated that the improved model showed higher accuracy, and the average values of RMSE, bias and NSEE at the soil depth of 10–105 cm were 1.41°C, 1.15°C and 22.40%, respectively. These results indicated that the improved heat conduction model can better estimate soil temperature profiles compared to the traditional model. Keywords soil temperature heat conduction equation daily amplitude boundary condition