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Open AccessArticle

Parameterization and Application of Stanghellini Model for Estimating Greenhouse Cucumber Transpiration

1
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China
2
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China
3
Institute of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
4
Department of Water Management, Delft University of Technology, 2600GA Delft, The Netherlands
5
Shenzhen Water Planning & Design Institute Co., Ltd., Shenzhen 518001, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(2), 517; https://doi.org/10.3390/w12020517 (registering DOI)
Received: 12 December 2019 / Revised: 1 February 2020 / Accepted: 5 February 2020 / Published: 13 February 2020
(This article belongs to the Special Issue Evapotranspiration and Plant Irrigation Strategies)
Accurate estimation of transpiration (Tr) is important in the development of precise irrigation scheduling and to enhance water-use efficiency in agricultural production. In this study, the air temperature (Ta) and relative humidity (RH) were measured at three different heights (0.5, 1.0, and 1.8 m above the ground near the plant canopy) parameterize aerodynamic resistance (ra) based on the heat transfer coefficient method and to estimate Tr using the Stanghellini model (SM) during two growing seasons of cucumber in a greenhouse. The canopy resistance (rc) was parameterized by an exponential relationship of stomata resistance and solar radiation, and the estimated Tr was compared to the values measured with lysimeters. After parameterization of ra and rc, the efficiency (EF) and the Root Mean Square Error (RMSE) of the estimated Tr by the SM based on micrometeorological data at a height of 0.5 m were 95% and 18 W m−2, respectively, while the corresponding values were 86% and 29 W m−2 at a height of 1.8 m for the autumn planting season. For the spring planting season, the EF and RMSE were 92% and 34 W m−2 at a height of 0.5 m, while the corresponding values were 81% and 56 W m−2 at a height of 1.8 m, respectively. This work demonstrated that when micrometeorological data within the canopy was applied alongside the data measured above the canopy, the SM led to better agreement with the lysimeter measurements. View Full-Text
Keywords: transpiration; canopy resistance; aerodynamic resistance; Stanghellini model; micrometeorological data; different observation heights transpiration; canopy resistance; aerodynamic resistance; Stanghellini model; micrometeorological data; different observation heights
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Yan, H.; Huang, S.; Zhang, C.; Gerrits, M.C.; Wang, G.; Zhang, J.; Zhao, B.; Acquah, S.J.; Wu, H.; Fu, H. Parameterization and Application of Stanghellini Model for Estimating Greenhouse Cucumber Transpiration. Water 2020, 12, 517.

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