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为准确估算东北地区春玉米不同生育阶段内的蒸散发量,本研究基于锦州农田生态系统野外观测站2007—2008年涡度相关系统的春玉米蒸散发数据,利用相关系数、平均偏差和均方根误差等量化指标,结合线性加权和法,综合评价了6种日尺度蒸散发模型(组合法:FAO 56-Penman-Monteith;温度法:Hargreaves-Samani、Blaney-Criddle;辐射法:Makkink、Jensen-Haise、Priestley-Taylor)在春玉米不同生育阶段的适用性。结果表明:1)春玉米不同生育阶段内蒸散发平均日动态均呈单峰型曲线变化,生长季内日蒸散发量峰值出现在花粒期初;2)春玉米不同生育阶段反映了其稀疏程度导致的覆盖度差异对蒸散发的影响。综合评价结果表明,除PriestleyTaylor模型外,基于辐射法模型的模拟效果整体优于组合法和温度法模型;3)苗期的修正Blaney-Cridele模型、花粒期的修正Makkink模型以及穗期的原始Jensen-Haise模型具有较高的模拟精度,为东北春玉米不同生育阶段日蒸散发量的准确估算提供参考。
In order to estimate the amount of evapotranspiration in different growth stages of spring maize in northeast China accurately, based on the spring maize evapotranspiration data of 2007-2008 field observation station of Jinzhou farmland ecosystem in Northeast China, the correlation coefficient, average deviation and mean square Root error and other quantitative indicators, combined with linear weighted sum method, a comprehensive evaluation of the six daily-scale evapotranspiration model (combination method: FAO 56-Penman-Monteith; temperature method: Hargreaves-Samani, Blaney- Criddle; radiation method: Makkink, Jensen -Haise, Priestley-Taylor) in different stages of spring maize. The results showed as follows: 1) The average daily dynamic of evapotranspiration in spring maize showed a single peak curve, and the peak of evapotranspiration appeared in the beginning of flowering stage in spring growing season. 2) The spring maize showed its sparse degree in different growth stages The impact of differences in coverage on evapotranspiration. The comprehensive evaluation results show that, except for the Priestley Taylor model, the simulation effect based on the radiation method model is better than the combination method and the temperature method model; 3) the modified Blaney-Cridele model at the seedling stage, the modified Makkink model at the telmisal stage, The Jensen-Haise model has higher simulation accuracy and provides a reference for accurate estimation of daily evapotranspiration in different growth stages of spring maize in Northeast China.