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根据Penmam-Monteith蒸腾模型,建立了一个以单栋塑料大棚内外气象条件为驱动变量,以单栋塑料大棚结构、防虫网覆盖材料、大棚内小白菜特征宽度和叶面积指数为参数的小白菜蒸腾模型,并利用单栋塑料大棚内试验数据的独立样本对模型进行了检验.结果表明:长江下游地区覆盖20目、25目、28目防虫网单栋塑料大棚的流量系数分别为0.771、0.758和0.736,综合风压系数分别为0.33、0.37和0.39,模型对该地区夏季晴天、多云、阴天蒸腾速率预测值与观测值的决定系数(R2)分别为0.95、0.91和0.94,回归估计标准误差(RMSE)分别为0.018、0.014和0.015g·m-2.s-1,相对误差(RE)分别为14.27%、18.05%和15.80%.蒸腾模型能较好地预测长江下游地区防虫网覆盖单栋塑料大棚内小白菜的蒸腾速率.
According to the Penmam-Monteith transpiration model, a dynamic model was established based on the meteorological conditions inside and outside the single-storey plastic greenhouse as the driving variables, with single-wall plastic greenhouse structure, insect net covering material, characteristic width and leaf area index of Chinese cabbage in greenhouse Model was established and the model was tested by using the independent samples from the test data in a single plastic greenhouse.The results showed that the flow coefficient of the single plastic shed covering the 20 mesh, 25 mesh and 28 mesh insect net in the lower reaches of the Yangtze River were 0.771, 0.758 and 0.736 and the integrated wind pressure coefficients were 0.33, 0.37 and 0.39, respectively. The coefficients of determination (R2) of the forecast values and observed values of sunny and cloudy, cloudy and cloudy days in summer were 0.95, 0.91 and 0.94, respectively. The standard error of regression (RMSE) were 0.018, 0.014 and 0.015g · m-2.s-1, respectively, and the relative errors (REs) were 14.27%, 18.05% and 15.80%, respectively.The transpiration model could better predict the net coverage of pest control net in the lower reaches of the Yangtze River Building plastic greenhouse cabbage transpiration rate.