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A CFD transient model of leaf wetness duration on greenhouse cucumber leaves

文献类型： 外文期刊

作者： Zhang, Chunhao 1 ; Liu, Ran 1 ; Liu, Kaige 1 ; Yang, Xinting 1 ; Liu, Huiying 1 ; Diao, Ming 1 ; Li, Ming 1 ;

作者机构： 1.Shihezi Univ, Key Lab Special Fruits & Vegetables Cultivat Phys, Agr Coll, Dept Hort, Shihezi, Xinjiang, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr,Minist Agr & Rural Affai, Natl Engn Res Ctr Informat Technol Agr,China Mete, Natl Engn Lab Agriprod Qual Traceabil,Meteorol Se, Beijing, Peoples R China

3.Univ Almeria, Dept Informat, CIESOL, ceiA3, Ctra Sacramento S-N, Almeria, Spain

关键词： Solar greenhouse; Computational fluid dynamics; Leaf condensation; Dehumidification

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：6.757； 五年影响因子：6.817 ）

ISSN： 0168-1699

年卷期： 2022 年 200 卷

页码：

收录情况： SCI

摘要： The estimation of leaf wetness duration (LWD) is important for crop disease monitoring and early warning, because LWD provides the necessary conditions for pathogen infection. Crop canopy condensation caused by high humidity in greenhouses is one of the main causes of LWD formation, and measuring LWD in greenhouses is difficult. A simulation model based on agricultural meteorological parameters is typically used to replace field measurements. This study was conducted in a Chinese solar greenhouse. A 2D transient model based on computational fluid dynamics (CFD) was used to estimate the distribution of cucumber leaf condensation in a solar greenhouse during early summer nights in Beijing. The LWD was estimated by considering the duration of the simulated leaf condensation at each point and simulating the dehumidification effect under ventilation conditions. The visual observations of leaf condensation were compared with the simulation results from May 31 to June 1 and from June 3 to June 4, 2021 (cloudy and clear days, respectively). The horizontal leaf condensation was observed first near the south roof, whereas the vertical canopy had a longer LWD at 1 m from the ground (average value of 8 h). LWD was estimated using relative humidity thresholds (RMSE of 1.944 h on cloudy days and RMSE of 0.5 h on clear days), and the good agreement between measurements and estimation indicated that the 2D CFD model combined with the relative humidity threshold method could be used to estimate the temporal and spatial distribution of canopy LWD.

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