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Assessment for aerodynamic and canopy resistances in simulating latent heat flux of Venlo-type greenhouse tomato

Author

Listed:
  • Yi, Ping
  • Liu, Hao
  • Liu, Shengxing
  • Han, Yang
  • Zhang, Xianbo
  • Yang, Guang
  • Wang, Chunting
  • Kader, Abdoul
  • Qiang, Xiaoman
  • Wang, Jinglei

Abstract

An accurate and dynamic evaluation of the latent heat flux (LE) of greenhouse crops is imperative for advancing precision irrigation. Previous studies used the Penman-Monteith model to evaluate LE and treated the canopy as a holistic leaf, overlooking the discrepancies in structure and microclimate across canopy vertical sections. This study divided the canopy into a shaded and a sunlit layer in line with the structural characteristics of the tomato canopy and the shift in solar elevation angle β. A full-layer model (PMI) and a semi-layer model (PMT) were established based on the layering difference in the evaluation of canopy resistance (rc) and aerodynamic resistance (ra). Eight models: PMI1, PMI2, PMI3, PMI4, PMT1, PMT2, PMT3, and PMT4, were obtained using meteorological data from 2 m above the ground and 2/3 of the canopy height in 2022 and 2023. The performance was compared with the big leaf model (PMB) and verified based on the LE measured by the lysimeter (LEm). The results indicated that LE had the highest sensitivity to canopy absorbed net radiation during the flowering stage (1≤LAI≤3), while PMI2 and PMI4 overestimated LE with the fitting slopes (LE-LEm) of 1.72 and 1.67 in 2022 and 1.70 and 1.55 in 2023, respectively. PMT3 and PMB underestimated LE; the fitting slopes in two years were both 0.83 and 0.80, respectively; PMI3 with the fitting slopes were 0.99 and 0.96 in two years, respectively. In the picking period (LAI≥5), LE was the most sensitive to vapor pressure deficit (VPD);PMI3 and PMB accurately simulated LE with the fitting slops, both over 0.9 in two years. Therefore, the canopy was layered when evaluating rc while treating it as a unit in evaluating ra, PMI3 showed the best comprehensive performance when simulating LE in different seasons and growth periods using meteorological data at 2 m above the ground.

Suggested Citation

  • Yi, Ping & Liu, Hao & Liu, Shengxing & Han, Yang & Zhang, Xianbo & Yang, Guang & Wang, Chunting & Kader, Abdoul & Qiang, Xiaoman & Wang, Jinglei, 2024. "Assessment for aerodynamic and canopy resistances in simulating latent heat flux of Venlo-type greenhouse tomato," Agricultural Water Management, Elsevier, vol. 297(C).
  • Handle: RePEc:eee:agiwat:v:297:y:2024:i:c:s0378377424001604
    DOI: 10.1016/j.agwat.2024.108825
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    References listed on IDEAS

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    1. Gong, Xuewen & Liu, Hao & Sun, Jingsheng & Gao, Yang & Zhang, Hao, 2019. "Comparison of Shuttleworth-Wallace model and dual crop coefficient method for estimating evapotranspiration of tomato cultivated in a solar greenhouse," Agricultural Water Management, Elsevier, vol. 217(C), pages 141-153.
    2. Li, Xiaojie & Kang, Shaozhong & Li, Fusheng & Jiang, Xuelian & Tong, Ling & Ding, Risheng & Li, Sien & Du, Taisheng, 2016. "Applying segmented Jarvis canopy resistance into Penman-Monteith model improves the accuracy of estimated evapotranspiration in maize for seed production with film-mulching in arid area," Agricultural Water Management, Elsevier, vol. 178(C), pages 314-324.
    3. Gong, Xuewen & Li, Xiaoming & Qiu, Rangjian & Bo, Guokui & Ping, Yinglu & Xin, Qingsong & Ge, Jiankun, 2022. "Ventilation and irrigation management strategy for tomato cultivated in greenhouses," Agricultural Water Management, Elsevier, vol. 273(C).
    4. Gong, Xuewen & Qiu, Rangjian & Sun, Jingsheng & Ge, Jiankun & Li, Yanbin & Wang, Shunsheng, 2020. "Evapotranspiration and crop coefficient of tomato grown in a solar greenhouse under full and deficit irrigation," Agricultural Water Management, Elsevier, vol. 235(C).
    5. Gong, Xuewen & Qiu, Rangjian & Zhang, Baozhong & Wang, Shunsheng & Ge, Jiankun & Gao, Shikai & Yang, Zaiqiang, 2021. "Energy budget for tomato plants grown in a greenhouse in northern China," Agricultural Water Management, Elsevier, vol. 255(C).
    6. Jiang, Shouzheng & Liang, Chuan & Cui, Ningbo & Zhao, Lu & Du, Taisheng & Hu, Xiaotao & Feng, Yu & Guan, Jing & Feng, Yi, 2019. "Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China," Agricultural Water Management, Elsevier, vol. 216(C), pages 365-378.
    7. Yan, Haofang & Acquah, Samuel Joe & Zhang, Chuan & Wang, Guoqing & Huang, Song & Zhang, Hengnian & Zhao, Baoshan & Wu, Haimei, 2019. "Energy partitioning of greenhouse cucumber based on the application of Penman-Monteith and Bulk Transfer models," Agricultural Water Management, Elsevier, vol. 217(C), pages 201-211.
    8. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    9. Shin, Jong Hwa & Park, Jong Seok & Son, Jung Eek, 2014. "Estimating the actual transpiration rate with compensated levels of accumulated radiation for the efficient irrigation of soilless cultures of paprika plants," Agricultural Water Management, Elsevier, vol. 135(C), pages 9-18.
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