Iranian Journal of Irrigation & Drainage

Iranian Journal of Irrigation & Drainage

Distribution of Transpiration and Vapour pressure deficit in a Commercial Greenhouse

Document Type : Original Article

Authors
1 Department of Irrigation and Drainage, Faculty of Agriculture, Bu-Ali Sina University, Hamadan, Iran
2 Department of Mechanical Engineering, Faculty of Engnirreing, Bu-Ali Sina University, Hamadan, Iran
Abstract
The agricultural sector is the main water user in Iran. Water resource constraints have led to the use of new technologies, including greenhouse cultivation, for optimal utilization of these resources. Climatic conditions management is very important in greenhouse cultivation. To investigate the climatic conditions and spatial and temporal distribution of humidity (vapour pressure deficit) and transpiration, a study was carried out in a commercial greenhouse managed by the beneficiary, with an area of 4333 m2 with four 24-hours measurements in cold and warm seasons. According to growth stage (height and vegetation volume) 21-33 data loggers recorded temperature and relative humidity in two horizontal levels inside the greenhouse. The study of the distribution of vapour pressure deficit according to existing criteria showed that, despite the desirability of the average range of vapour pressure deficit, their distribution in different hours of the day and at the greenhouse level can be very variable and range from unfavorable to desirable conditions. The distribution of transpiration was almost in line with the distribution of vapor pressure loss in the greenhouse. The percentage difference between the maximum and minimum transpiration of changes in total daily transpiration at the greenhouse level in winter measurements was 21 to 46 in the greenhouse and 28% in the spring. As a result, the expression of the climate of a greenhouse only be using the average climate parameters lead to an error in the climate conditions of the greenhouse, irrespective of spatial distribution (at the greenhouse level) and time (day and night). Also, recognizing differences in the amount and distribution of transpiration can be used to optimize irrigation programming with the aim of increasing efficiency and reducing water consumption.
Keywords

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