Predicting net radiation in naturally ventilated greenhouses based on outside global solar radiation for reference evapotranspiration estimation

被引:9
|
作者
Saadon, Tal [1 ]
Lazarovitch, Naftali [2 ]
Jerszurki, Daniela [3 ]
Tas, Eran [1 ]
机构
[1] Hebrew Univ Jerusalem, Robert H Smith Fac Agr Food & Environm, Inst Environm Sci, Dept Soil & Water Sci, POB 12, IL-7610001 Rehovot, Israel
[2] Ben Gurion Univ Negev, French Associates Inst Agr & Biotechnol Drylands, Jacob Blaustein Inst Desert Res, Wyler Dept Dryland Agr, Sede Boqer Campus, Beer Sheva, Israel
[3] Ben Gurion Univ Negev, Jacob Blaustein Ctr Sci Cooperat, Jacob Blaustein Inst Desert Res, Sede Boqer Campus, IL-8499000 Beer Sheva, Israel
关键词
Evapotranspiration; Naturally ventilated greenhouse; K-nearest neighbors; Net radiation; Global solar radiation; CROP TRANSPIRATION; SPAN GREENHOUSE; WATER; MODEL; HEAT; TRANSMISSIVITY; EVAPORATION; ALGORITHMS; CALCULATE; VAPOR;
D O I
10.1016/j.agwat.2021.107102
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
A reliable prediction of net radiation (Rn) inside naturally ventilated greenhouses is critical for accurate evapotranspiration evaluation and thus for water saving, considering that previous studies have indicated that evapotranspiration in such relatively decoupled greenhouses is predominantly controlled by greenhouse Rn (RnGH). We hypothesized here that Rn-GH in naturally ventilated greenhouses can be accurately predicted using global solar radiation in the vicinity of the greenhouse (Rs-out) as the only measured parameter, together with the calculated position of the sun, defined by the solar elevation angle and solar azimuth. To test this hypothesis, we performed experiments in two adjacent greenhouses in the Southern Negev, Israel (30.96 degrees N, 34.69 degrees E) under arid climate. In one of the greenhouses, tomato was grown during winter 2017-2018, while in the other, melon was grown during winter and spring 2018-2019. Our analyses demonstrated that Rn-GH can be accurately predicted (r2 = 0.982) using Rs-out as the only measured parameter, while the global solar radiation inside the greenhouse (Rs-GH), and the ratio between Rn-GH and Rs-GH are predominantly dependent on solar elevation angle and solar azimuth, as well as the greenhouse structure and cloud cover. This paper shows that the impact of these properties on the association between Rs-out and Rn-GH can be accurately resolved using multivariate regression by the k-nearest neighbors approach. This suggests that computerized modeling of the greenhouse structure and light transmission can potentially enable precise evaluation of Rn-GH and therefore also reference evapotranspiration in naturally ventilated greenhouses, using Rs-out as the only measured parameter. A calculation-based factor for the cloud effect on Rs-out transmittance into the greenhouse significantly improved the Rn-GH prediction under cloudy conditions.
引用
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页数:12
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