Smart Agriculture ?? 2021, Vol. 3 ?? Issue (2): 55-67.

? 專題--作物模型與可視化 ?

### 基于校正WOFOST模型的棗樹生長模擬與水分利用評價

1. 1.塔里木大學 信息工程學院/新疆南疆農業信息化研究中心，新疆 阿拉爾 843300
2.中國農業大學 信息與電氣工程學院，北京 100083
• 收稿日期:2021-03-23 修回日期:2021-04-20 出版日期:2021-06-30 發布日期:2021-06-30
• 基金資助:
國家自然科學基金(61501314);兵團中青年科技創新領軍人才項目(2018CB020)
• 通訊作者: 白鐵成 E-mail:baitiecheng1983@163.com

### Dynamic Simulation of Jujube Tree Growth and Water Use Evaluation Based on the Calibrated WOFOST Model

BAI Tiecheng1(), WANG Tao1, ZHANG Nannan1,2

1. 1.College of Information Engineering/Southern Xinjiang Research Center Information Technology in Agriculture, Tarim University, Alaer 843300, China
2.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
• Received:2021-03-23 Revised:2021-04-20 Online:2021-06-30 Published:2021-06-30
• corresponding?author: Tiecheng BAI E-mail:baitiecheng1983@163.com

Abstract:

Irrigation schemes determined based on statistical analysis of field trials are usually only applicable to specific soils and meteorological environments. It is difficult to quantitatively analyze the impact of irrigation strategies on the growth of jujube trees. In order to realize the quantitative analysis of the influence of temperature, light and water resources on the growth of fruit trees, WOrld FOod Studies (WOFOST) model parameters were calibrated to simulate the jujube tree growth and water migration process. Firstly, the observed data obtained from field trials in 2016 and 2017 were used to calibrate the phenology development, initialization, green leaf, CO2 assimilation, dry matter partitioning, respiration, and water use parameters of the WOFOST model. Secondly, the time series of total above-ground biomass, leaf area index (LAI) and soil moisture content in field trials were dynamically simulated, and accuracy verification and analysis were also performed. Finally, the maximum LAI, yield, actual evapotranspiration $(ETa)$ and water use efficiency (WUE) data of 55 orchards were employed to evaluate the performance of the calibrated model at the county scale. The results showed that the coefficient of determination R2 of TAGP simulated in the field test area was between 0.92 and 0.98, and the normalized root mean square error (NRMSE) was between 8.7% and 20.5%, the R2 of simulated LAI ranged from 0.79 to 0.97, and the NRMSE ranged from 8.3% to 21.1%. The R2 of the simulated soil moisture content was between 0.29 and 0.75, and the NRMSE ranged from 4.1% and 6.1%. The model could well simulate the time series of jujube tree growth dynamics and soil moisture content changes. At the county scale, the R2 between the simulated and measured maximum LAI were 0.64 and 0.78, and the NRMSE were 13.3% and 10.7% in 2016 and 2017, respectively. The simulated yield showed R2 value of 0.48 and 0.60, and NRMSE of 12.1% and 11.9%, respectively. RMSE of the simulated versus measured $ETa$ were 36.1 mm (7.9%) and 30.8 mm (7.4%), respectively. The model also showed high WUE simulation accuracy (10%<NRMSE<20%) with RMSE values of 0.23 and 0.28 kg/m3 in 2016 and 2017, respectively. In short, WOFOST model achieved accurate simulation of jujube tree growth and water transport at the field and county scales, which may provide new ideas for the quantitative and mechanism analysis of the coupled effects of soil, weather, irrigation management and jujube tree growth.