Energy partitioning of greenhouse cucumber based on the application of Penman-Monteith and Bulk Transfer models

Haofang Yan, Samuel Joe Acquah, Chuan Zhang, Guoqing Wang, Song Huang, Hengnian Zhang, Baoshan Zhao and Haimei Wu

Agricultural Water Management, 2019, vol. 217, issue C, 201-211

Abstract: Partitioning between latent (LET) and sensible (H) heat fluxes is critical in improving the greenhouse crops irrigation scheduling and microclimate. By applying the Bulk Transfer (BT) and Penman-Monteith (PM) models, the energy fluxes in different growing stages of the cucumber crop were determined in a Venlo-type greenhouse. The application of the BT and PM models is constrained by accurate parameterizations of canopy resistance (rc) and aerodynamic resistance (ra). In this paper, we measured micrometeorological data, crop growth index and LET during cucumber growing seasons in spring and autumn of 2016. The rc was modelled with stomatal conductance of cucumber leaves and validated with actual measurement of LET by lysimeters. The results showed that rc varied from 35 s m−1 during the day to 500 s m−1 at night in spring season, whilst it ranged from 40 s m−1 during the day to 1000 s m−1 at night in autumn season. Comparison of rc estimated by the PM and the BT models demonstrated that the rc estimated by the two methods were similar and highly correlated for both seasons. During the spring season, the PM and the BT models gave the determination coefficients (R2) of predicted hourly LET equal to 0.94 and 0.83, whereas during the autumn season, the values were 0.94 and 0.76, respectively. The average root mean square errors (RMSE) of measured and predicted hourly LET were 96.97 and 74.74 W m-2 for the spring and autumn seasons for PM model, respectively. In contrast, the BT model gave RMSE of measured and predicted hourly LET of 82.47 and 69.14 W m-2, for spring and autumn, respectively. The results also depicted that the simplified energy balance approach was a feasible alternative to partition the energy fluxes in the greenhouse. The predictions made in this study would be an easy and relatively accurate way to partition greenhouse cucumber energy fluxes and thus, scientifically plan the irrigation schedule. In conclusion, this study provides scientific basis for optimizing efficient water-saving irrigation, development of a suitable irrigation scheduling and improving crop water use efficiency in the greenhouse, and consequently, more energy savings by avoiding excessive water application and thereby the objective of having improved and satisfactory yield and higher economic returns can be achieved.

Keywords: Canopy resistance; Energy balance; Latent heat flux; Spring; Autumn (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:217:y:2019:i:c:p:201-211

DOI: 10.1016/j.agwat.2019.02.036

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