A proposed surface resistance model for the Penman-Monteith formula to estimate evapotranspiration in a solar greenhouse
GONG Xuewen1,2, LIU Hao1, SUN Jingsheng1*, GAO Yang1, ZHANG Xiaoxian3, Shiva K JHA2,4, ZHANG Hao1,2, MA Xiaojian1,2, WANG Wanning1,2
1 Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture, Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang 453003, China;
2 Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China;
3 Department of Sustainable Soils and Grassland Systems, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, United Kingdom;
4 National Maize Research Program, Nepal Agricultural Research Council, Chitwan 44209, Nepal
A proposed surface resistance model for the Penman-Monteith formula to estimate evapotranspiration in a solar greenhouse
GONG Xuewen1,2, LIU Hao1, SUN Jingsheng1*, GAO Yang1, ZHANG Xiaoxian3, Shiva K JHA2,4, ZHANG Hao1,2, MA Xiaojian1,2, WANG Wanning1,2
1 Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture, Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang 453003, China;
2 Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China;
3 Department of Sustainable Soils and Grassland Systems, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, United Kingdom;
4 National Maize Research Program, Nepal Agricultural Research Council, Chitwan 44209, Nepal
摘要 Greenhousing is a technique to bridge season gap in vegetable production and has been widely used worldwide. Calculation of water requirement of crops grown in greenhouse and determination of their irrigation schedules in arid and semi-arid regions are essential for greenhouse maintenance and have thus attracted increased attention over the past decades. The most common method used in the literature to estimate crop evapotranspiration (ET) is the Penman-Monteith (PM) formula. When applied to greenhouse, however, it often uses canopy resistance instead of surface resistance. It is understood that the surface resistance in greenhouse is the result of a combined effect of canopy restriction and soil-surface restriction to water vapor flow, and the relative dominance of one restriction over another depends on crop canopy. In this paper, we developed a surface resistance model in a way similar to two parallel resistances in an electrical circuit to account for both restrictions. Also, considering that wind speed in greenhouse is normally rather small, we compared three methods available in the literature to calculate the aerodynamic resistance, which are the ra1 method proposed by Perrier (1975a, b), the ra2 method proposed by Thom and Oliver (1977), and the ra3 method proposed by Zhang and Lemeu (1992). We validated the model against ET of tomatoes in a greenhouse measured from sap flow system combined with micro-lysimeter in 2015 and with weighing lysimeter in 2016. The results showed that the proposed surface resistance model improved the accuracy of the PM model, especially when the leaf area index was low and the greenhouse was being irrigated. We also found that the aerodynamic resistance calculated from the ra1 and ra3 methods is applicable to the greenhouse although the latter is slightly more accurate than the former. The proposed surface resistance model, together with the ra3 method for aerodynamic resistance, offers an improved approach to estimate ET in greenhouse using the PM formula.
Abstract：
Greenhousing is a technique to bridge season gap in vegetable production and has been widely used worldwide. Calculation of water requirement of crops grown in greenhouse and determination of their irrigation schedules in arid and semi-arid regions are essential for greenhouse maintenance and have thus attracted increased attention over the past decades. The most common method used in the literature to estimate crop evapotranspiration (ET) is the Penman-Monteith (PM) formula. When applied to greenhouse, however, it often uses canopy resistance instead of surface resistance. It is understood that the surface resistance in greenhouse is the result of a combined effect of canopy restriction and soil-surface restriction to water vapor flow, and the relative dominance of one restriction over another depends on crop canopy. In this paper, we developed a surface resistance model in a way similar to two parallel resistances in an electrical circuit to account for both restrictions. Also, considering that wind speed in greenhouse is normally rather small, we compared three methods available in the literature to calculate the aerodynamic resistance, which are the ra1 method proposed by Perrier (1975a, b), the ra2 method proposed by Thom and Oliver (1977), and the ra3 method proposed by Zhang and Lemeu (1992). We validated the model against ET of tomatoes in a greenhouse measured from sap flow system combined with micro-lysimeter in 2015 and with weighing lysimeter in 2016. The results showed that the proposed surface resistance model improved the accuracy of the PM model, especially when the leaf area index was low and the greenhouse was being irrigated. We also found that the aerodynamic resistance calculated from the ra1 and ra3 methods is applicable to the greenhouse although the latter is slightly more accurate than the former. The proposed surface resistance model, together with the ra3 method for aerodynamic resistance, offers an improved approach to estimate ET in greenhouse using the PM formula.
The study was funded by the Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences (FIRI2016-07).
通讯作者: SUN Jingsheng
E-mail: jshsun623@163.com
引用本文:
GONG Xuewen,LIU Hao,SUN Jingsheng等. A proposed surface resistance model for the Penman-Monteith formula to estimate evapotranspiration in a solar greenhouse[J]. Journal of Arid Land, 2017, 9(4): 530-546.
GONG Xuewen,LIU Hao,SUN Jingsheng et al. A proposed surface resistance model for the Penman-Monteith formula to estimate evapotranspiration in a solar greenhouse[J]. Journal of Arid Land, 2017, 9(4): 530-546.
2017, Vol. 9 
