湿地参照作物蒸散发量是湿地水量平衡的重要因素。本研究选取了扎龙湿地周边8个气象台站1961—2000年的历史数据,通过拟合经典的FAO56 Penman—Monteith模型,建立了估算扎龙芦苇湿地逐月参照作物蒸散发的经验模型。建模时考虑到各气象因子对潜在蒸散发的作用,尝试了不同的组合方式及拟合模型,最终采用月最高气温、月最低气温、月降雨量和月平均风速四个因子,建立了非线性e指数方程。该模型与Blaney-Criddle、Priesfley-Taylor、Hargreaves等三个常用经验模型进行了比较,得到较好的结果。新建模型在各气象站的应用表明,能够显著逼近FAO56Penman-Monteith模型结果,计算的逐月参照作物蒸散发具有理想的精度。
The reference evapotranspiration (ET0) is a crucial factor which affects water balance analysis of wetlands. By fitting the FAO56 Penman-Monteith equation, a new empirical model is established,which can evaluate the monthly ETo in the region of Zhalong wetland. The meteorological data used in the model come from eight weather stations around Zhalong wetland from 1961 to 2000. Several combinations of meteorological parameters, which affect the reference evapotranspiration obviously, are introduced in lots of fitting models in order to choose the fitted expressions. According to the maximum fitting correlation coefficient (R^2) and the minimum root mean square error (RMSE), the nonlinear exponential model with monthly maximal temperature, minimal temperature, total precipitation and wind speed is selected. In order to understand the effectiveness of the model, three commonly used empirical models, Blaney-Criddle, Priestley-Taylor and Hargreaves, are used to compare with the new one, and the answer is positive. The applied results show that the new model improves the R^2 and reduces the RMSE markedly. Consequently, it can serve as a useful tool for monthly ETo calculations in the study site.