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Applicability evaluation of tea plant evapotranspiration models in hilly area of southern Jiangsu Province |
NI Yuxin1, ZHANG Chuan1, YAN Haofang2, ZHANG Wencheng1, ZHOU Junan1, XUE Run1 |
1. School of Agricultural Engineering, Jiangsu University, Zhenjiang Jiangsu 212013, China; 2. National Research center of Pump, Jiangsu University, Zhenjiang Jiangsu 212013, China |
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Abstract Based on the ETc data measured by Bowen ratio energy balance method from 2017 to 2020, the parameters of crop coefficient(S-kc)model and Priestley-Taylor(PT-α)model were detemined and modified respectively. The response characteristics of ETc to meteorological factors in each growth period were analyzed. And the applicability of the modified models to simulate ETc in tea plants in southern Jiangsu was evaluated. Results show that crop coefficient kc of S-kc model is 0.83, 1.19 and 1.06 at the early, middle and late growth periods, respectively, and the annual mean value of PT-α model coefficient α is 1.09. The meteorological factors Ta, VPD and VWC are significantly correlated with ETc. The overall meteorological factors and ETc are highly correlated in the middle growth period and less correlated in the late growth period. The S-kc model overestimates ETc measured by Bowen ratio energy balance method as a reference, and PT-α model underestimates ETc. While the error of PT-α model(R2=0.88)is lower than that of S-kc model(R2=0.91). The precision of the PT-α model is higher in the rapid growth period(MAE=0.72 mm/d, RMSE=0.99 mm/d)and the late growth period(MAE=0.35 mm/d, RMSE=0.23 mm/d), and the precision of S-kc model is higher in the middle growth period(MAE=0.36 mm/d, RMSE=0.48 mm/d).The results of this study indicate the variation characteristics and methods of ETc in whole growth. It is of great reference value to the scientific production of tea trees in hilly areas of southern China.
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Received: 12 May 2021
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