中文摘要：

土壤温度是在地下的热水的进程的控制的一个关键变量。为了估计，更精确地玷污温度，这研究由使用合并土壤表面温度的年度、日报的变化和每日的温度的时间的变化的边界条件建议了土壤温度(改进的热传导模型)的热传导方程的一个答案方法振幅，在中国的Qinghai西藏高原的 Tanggula 观察地点象二之间的温度差别一样玷污层。我们雇用了改进的热传导模特儿和古典热由为土壤深度把 5 厘米土壤层用作上面的边界适合土壤温度的传导模型。结果显示每日的土壤温度振幅能被正弦曲线功能更好在改进模型描述，它然后产出在 5 厘米的深度模仿效果的更精确的土壤温度。改进模型和古典热传导模型产生的模仿的土壤温度价值当时与在不同土壤深度的观察土壤温度价值相比。根均方差(RMSE ) 的统计分析，规范的标准错误(NSEE ) 和偏爱证明改进模型更高证明精确性，和在 10105 厘米的土壤深度的 RMSE，偏爱和 NSEE 的平均价值是 1.41

英文摘要：

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℃, 1.15℃ and 22.40%, respectively. These results indicated that the improved heat conduction model can better estimate soil temperature profiles compared to the traditional model.