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Comparison of Shuttleworth-Wallace model and dual crop coefficient method for estimating evapotranspiration of tomato cultivated in a solar greenhouse

机译:ShuttleWorth-Wallace模型和双重作物系数方法的比较估算太阳能温室番茄蒸散蒸腾

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The accurate determination of crop evapotranspiration (ETc)is important for improving irrigation water use efficiency and optimizing fruit quality in solar greenhouses. Taking drip-irrigated tomato in a solar greenhouse as an example, this study simulated the variations of ETc, by the Shuttleworth-Wallace (S-W) and Dual crop coefficient (Dual-K-c) models at initial, development, mid and late stages in 2015 and 2016 respectively. Continuous measurements of crop ETc, with weighing lysimeter, and sap flow system combined with microlysimeter were used to validate the performance of two approaches. Results indicated that the total soil evaporation accounted for 25% of ET, over the whole growth period, and decreased gradually with the increasing of canopy coverage ratio. The locally developed basal crop coefficients values during the initial, mid, and late stages were 0.15, 0.94 and 0.65 in 2015, and 0.15, 1.02 and 0.70 in 2016, respectively. The variations of the estimated ETc, from S-W and Dual-K-c models were similar to the measured ET(c )The S-W model performed well in estimating ETc when LAI was between 0.5 and 2.7, but slightly overestimated and underestimated at initial and mid stages, respectively. Additionally, the performance of the S-W model was also better under different weather conditions as well as after irrigation. However, the Dual-K-c method was superior to the S-W model in estimating daily soil evaporation and daily plant transpiration. The good agreements were found between the predicted ETc using the Dual-K(c )method and the measurements for the greenhouse tomato, with the coefficients of regression of 1.03 (R-2 = 0.93) in 2015, and 0.96 (R-2 = 0.93) in 2016. Therefore, the Dual-K-c method was finally recommended for estimating evapotranspiration of tomato cultivated in the solar greenhouse.
机译:作物蒸散(ETC)的准确测定对于改善灌溉用水效率和优化太阳能温室的果实质量是重要的。在太阳能温室中以滴灌的番茄为例,这项研究模拟了Shuttleworth-Wallace(SW)和二元作物系数(Dual-KC)模型在2015年的初始,开发,中期和后期阶段的变化分别为2016年。使用称重立体计的作物等的连续测量和SAP流量与微卷心仪相结合,用于验证两种方法的性能。结果表明,在整个生长期间,剩余的土壤蒸发量占ET的25%,随着树冠覆盖率的增加而逐渐降低。局部开发的基底作物系数值在初始,中期和后期阶段为2015年的0.15,0.94和0.65,以及2016年的0.15,1.02和0.70。估计等的变化,来自SW和双KC模型类似于测量的ET(c)SW模型在估计等中表现良好,当LAI在0.5和2.7之间,但在初始和中间阶段略微高估和低估,分别。另外,在不同的天气条件以及灌溉后,S-W型号的性能也更好。然而,双K-C方法优于估计日土壤蒸发和日常植物蒸腾的S-W模型。在预测等之间使用双k(c)方法和温室番茄的测量来发现良好的协议,其中2015年的回归系数为1.03(R-2 = 0.93),0.96(R-2 = 0.93)在2016年。因此,最终推荐使用双KC方法来估算太阳温室培养的番茄的蒸散。

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