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基于2003–2007年千烟洲涡度相关通量塔观测的气象数据和蒸散发数据,评价了常用的蒸散发模型模拟森林生态系统蒸散发的适用性,包括Priestly-Taylor、Blaney-Criddle、Hargreaves-Samani、Jensen-Haise、Hamon、Turc、Makkink和Thornthwaite模型。结果表明,日尺度上Priestly-Taylor模型的模拟效果较好,相关系数达0.953;月尺度上Makkink模型的模拟效果较好,相关系数达0.995;而Thornthwaite模型在月尺度上模拟误差较大,均方根误差与平均偏差分别为15.559和13.436;Jensen-Haise模型在日、月尺度上模拟效果均较差。采用偏相关法分析气象因子与蒸散发值的关系,得出森林生态系统蒸散发驱动因子的贡献排序为:辐射>温度>水气压>风速>土壤温度>相对湿度>白天时长,即辐射对蒸散发的影响较为显著,与基于辐射法的Priestly-Taylor和Makkink模型分别在日、月尺度上适用性较好的结论一致。
Based on the observed meteorological data and evapotranspiration data of the Qianyanzhou vorticity-related flux tower from 2003 to 2007, the applicability of commonly used evapotranspiration models to simulate forest ecosystem evapotranspiration was evaluated, including Priestly-Taylor, Blaney-Criddle, Hargreaves -Samani, Jensen-Haise, Hamon, Turc, Makkink, and Thornthwaite models. The results show that the Priestly-Taylor model has better simulation results on a daily scale with a correlation coefficient of 0.953. The Makkink model on the monthly scale has a better simulation effect with a correlation coefficient of 0.995. The Thornthwaite model has larger simulated errors on the monthly scale The root mean square error and the average deviation were 15.559 and 13.436, respectively. The Jensen-Haise model had poor simulation results on the daily and monthly scales. By using partial correlation method to analyze the relationship between meteorological factors and evapotranspiration values, the contribution order of the driving factors of forest ecosystem evapotranspiration is derived as follows: radiation> temperature> water pressure> wind speed> soil temperature> relative humidity> daytime, The effect of hair growth is significant, which is consistent with the conclusion that the Priestly-Taylor and Makkink models based on the radiation method have good applicability on the Japanese and the Japanese scales respectively.