Continuous Measurement of Greenhouse Ventilation Rate in Summer and Autumn via Heat and Water Vapor Balance Methods

Q3 Agricultural and Biological Sciences
A. Tusi, T. Shimazu, M. Ochiai, Katsumi Suzuki
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引用次数: 2

Abstract

One of the methods of increasing tomato production and quality in a greenhouse is to manage the CO2 concentration at or above the ambient level for supporting photosynthesis. CO2 fertilization enables plants to assimilate CO2 gas with high efficiency (Kuroyanagi et al., 2014) and increases fruit yield (Kimball and Mitchell, 1979; Yelle et al., 1990). Attention has also been focused on a method of applying CO2 to a similar level as the outside air in the greenhouse during the daytime in summer or autumn when the windows are sufficiently opened for temperature control (Ohyama et al., 2005). Furthermore, the continuous measurement of the greenhouse ventilation rate throughout the year allows for the long-term direct monitoring of the canopy photosynthetic rate and CO2 use efficiency using the CO2 balance method (Nederhoff and Vegter, 1994). The ventilation rate is a crucial parameter for heat and gas exchanges in a greenhouse. Ventilation regulates the air temperature and humidity in the greenhouse. Additionally, it influences CO2 concentration, which affects the canopy photosynthetic rate. Various techniques have been used to measure and predict the ventilation rate, such as the tracer gas (TG) method (Boulard and Draoui, 1995; Papadakis et al., 1996; Baptista et al., 1999), heat balance (HB) method (Fernandez and Bailey, 1992; Demrati et al., 2001; Harmanto et al., 2006a), and water vapor balance (WVB) method (Boulard and Draoui, 1995; Harmanto et al., 2006a, 2006b). The TG method has been widely used in greenhouse experiments. The ventilation rate measurement by the TG method is highly reliable in leakage and low ventilation conditions for different types of greenhouse and ventilation configurations (Nederhoff et al., 1985; Baptista et al., 1999; Muñoz et al., 1999; Katsoulas et al., 2006). The TG method exhibits good agreement with an infrared gas analyzer (IRGA), as mentioned by Nederhoff et al. (1985), and with a theoretical model based on pressure difference (Baptista et al., 1999) and wind pressure model approaches (Muñoz et al., 1999). However, in the summer season with the maximum ventilation opening area, the TG method experiences numerous disadvantages in large-scale greenhouses (Demrati et al., 2001). A large amount of CO2 gas must be supplied to maintain the CO2 concentration in a greenhouse higher than outside air for a large window aperture. Moreover, this method is expensive, and the long-term continuous measurement of the ventilation rate is extremely difficult under plant cultivation, where CO2 gas is absorbed. Hence, it may not be possible to use this technique for the continuous monitoring of the ventilation rate in summer and autumn season when windows are fully
热和水汽平衡法连续测量夏季和秋季温室通风量
提高温室番茄产量和质量的方法之一是将二氧化碳浓度控制在或高于环境水平,以支持光合作用。CO2施肥使植物能够高效吸收CO2气体(Kuroyanagi等,2014),并提高果实产量(Kimball和Mitchell, 1979;Yelle et al., 1990)。人们还将注意力集中在一种方法上,即在夏季或秋季的白天,当窗户充分打开以进行温度控制时,将二氧化碳施加到与温室外部空气相似的水平(Ohyama et al., 2005)。此外,全年对温室通风量的连续测量允许使用二氧化碳平衡法长期直接监测冠层光合速率和二氧化碳利用效率(Nederhoff和Vegter, 1994)。通风量是温室内热量和气体交换的重要参数。通风调节温室内的空气温度和湿度。此外,它还影响CO2浓度,从而影响冠层光合速率。已使用各种技术来测量和预测通风量,例如示踪气体(TG)法(Boulard和Draoui, 1995;Papadakis et al., 1996;Baptista et al., 1999),热平衡(HB)法(Fernandez and Bailey, 1992;Demrati等人,2001;Harmanto et al., 2006a)和水汽平衡(WVB)法(Boulard and Draoui, 1995;Harmanto et al., 2006a, 2006b)。热重法在温室试验中得到了广泛的应用。对于不同类型的温室和通风配置,热重法测量的通风量在泄漏和低通风量条件下是高度可靠的(Nederhoff et al., 1985;Baptista et al., 1999;Muñoz et al., 1999;Katsoulas et al., 2006)。热重分析方法与Nederhoff等人(1985)提到的红外气体分析仪(IRGA)以及基于压差的理论模型(Baptista等人,1999)和风压模型方法(Muñoz等人,1999)表现出良好的一致性。然而,在通风面积最大的夏季,热重法在大型温室中存在许多缺点(Demrati等,2001)。对于大开窗的温室,必须提供大量的二氧化碳气体,以保持温室内的二氧化碳浓度高于室外空气。而且,这种方法价格昂贵,在植物栽培条件下,长期连续测量通风量极其困难,因为植物栽培会吸收二氧化碳气体。因此,在夏季和秋季,当窗户完全关闭时,可能无法使用该技术连续监测通风量
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来源期刊
Environmental Control in Biology
Environmental Control in Biology Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.00
自引率
0.00%
发文量
25
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