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利用涡度相关系统和小气象系统对2013—2015年夏玉米生长季的蒸散量和气象数据进行实时观测,基于观测数据对以Penman-Monteith模型为基础的FAO-PM模型和KP-PM模型进行分析:首先利用2013和2014年数据对两个模型中的关键参数进行校正,其次利用两个模型对2015年夏玉米农田的日蒸散量进行计算,并与测量值对比,说明两个模型在夏玉米农田的适用性;最后采用分阶段法对KP-PM模型中的经验系数进行修正.结果表明:FAOPM模型对2015年夏玉米农田日蒸散量的计算值更加接近测量值;利用分阶段法对KP-PM模型进行修正后,模型对日蒸散量的计算效果有了很大提高,且计算值比FAO-PM模型更接近测量值.模型中关键系数与气象条件之间有很大关系,因此利用模型进行蒸散预测时,必须先对模型进行参数校正.该研究可为其他研究人员利用模型估算蒸散量提供方法上的参考.
The evapotranspiration and meteorological data of summer maize growing season from 2013 to 2015 were observed in real time using the eddy covariance system and the microclimate system. The FAO-PM model and KP-PM model based on the Penman-Monteith model were observed based on the observed data Analysis: Firstly, the key parameters of the two models were calibrated by using the data of 2013 and 2014. Secondly, the daily evapotranspiration of summer corn farmland in 2015 was calculated by using two models, and compared with the measured values, indicating that the two models are in summer Maize farmland. Finally, the phased method was used to revise the empirical coefficient in the KP-PM model.The results showed that the FAOPM model was closer to the measured value of daily evapotranspiration in summer maize field in 2015. Using the staged method After the correction of KP-PM model, the model has greatly improved the calculation effect of daily evapotranspiration and the calculated value is closer to the measured value than that of FAO-PM model.The relationship between the key coefficient and meteorological conditions in the model is very significant When using the model to predict the evapotranspiration, the model must be calibrated firstly, which will provide reference for other researchers to use the model to estimate the evapotranspiration.