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Smart Agriculture ?? 2021, Vol. 3 ?? Issue (2): 55-67.doi: 10.12133/j.smartag.2021.3.2.202103-SA008

? 專題--作物模型與可視化 ? 上一篇    下一篇

基于校正WOFOST模型的棗樹生長模擬與水分利用評價

白鐵成1(), 王濤1, 張楠楠1,2   

  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

摘要:

為實現定量化分析溫、光和水資源對果樹生長的影響,本研究以成齡駿棗樹為研究對象,提出了基于校正WOFOST模型的棗樹生長和水分運移模擬方法。利用2016和2017年的田間試驗觀測數據,重點校正WOFOST模型的物候學發育、初始化、綠葉、CO2同化、干物質分配、呼吸作用和水分利用參數。在田間尺度,完成總地上生物量(TAGP)、葉面積指數(LAI)和土壤水分含量的動態模擬和精度驗證;在縣域尺度,使用55個果園的最大LAI、單產、實際蒸散量(ETa)和水分利用效率(WUE)數據評價模型區域尺度的模擬性能。結果表明,在田間尺度,校正模型模擬不同灌溉梯度TAGP的決定系數R2范圍為0.92~0.98,歸一化均方根誤差NRMSE為8.7%~20.5%;模擬LAI的R2范圍為0.79~0.97,NRMSE為8.3%~21.1%;模擬土壤水分含量的決定系數R2范圍為0.29~0.75,NRMSE為4.1%~6.1%。在縣域尺度,兩年模擬最大LAI與實測LAI的R2分別為0.64和0.78,NRMSE分別為13.3%和10.7%;模擬單產的R2分別為0.48和0.60,NRMSE分別是12.1%和11.9%;模擬ETa均方根誤差分別為36.1 mm(7.9%)和30.8 mm(7.4%);模型也表現了較高的WUE模擬精度(10%<NRMSE<20%),均方根誤差RMSE值分別為0.23和0.28 kg/m3。WOFOST模型在田間和縣域尺度都取得了較高的棗樹生長和水分運移模擬精度,可為土壤、氣象、灌溉管理和棗樹生長耦合影響的定量化分析提供新思路。

關鍵詞: 作物生長模型, 參數校正, WOFOST, 棗樹, 水分利用效率

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.

Key words: crop growth model, parameter calibration, WOFOST, jujube tree, water use efficiency

中圖分類號: 

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