...
首页> 外文期刊>Acta Horticulturae >Development of a dynamic plant surface microclimate model (PSCLIMATE) for greenhouse vegetables.
【24h】

Development of a dynamic plant surface microclimate model (PSCLIMATE) for greenhouse vegetables.

机译:温室蔬菜动态植物表面微气候模型(PSCLIMATE)的开发。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Based on the principle of energy balance and the heat and mass transfer theory, a one-dimensional plant surface climate model (PSCLIMATE) has been developed for greenhouse vegetable plants. This model uses parameters that describe characteristics of the greenhouse structure and the plant canopy together with routine climate observations above the canopy, to predict in canopy and leaf surface microclimate. The output of the model includes vertical profiles of solar irradiance, air temperature and relative humidity, and the temperature, vapour pressure deficit and wetness at the leaf surface. The default plant of this model is cucumber and the model has been validated using microclimate data collected in a greenhouse cucumber experiment over an autumn growing season in 1996. It predicted precisely the in-canopy air temperature and relative humidity, as well as temperature and wetness at leaf surfaces in most cases. The model overestimated air temperature in the lower canopy when air temperature exceeded 22 degrees C and forced ventilation was in operation. The dynamic model was further expanded to greenhouse tomato (PSCLIMATE-Tomato) in 2002-03. Physiological parameters of tomato plants, architectural parameters of tomato canopy, and wind speed profile within the canopy determined from references and measured values were used in this model. Microclimate data collected in a greenhouse tomato experiment in winter 2002-03 were used to validate the model. The model correctly predicted microclimate variables within canopy and at leaf surface although some deviations from observed values at noontime on sunny days, when solar irradiance was very high, were found..
机译:基于能量平衡原理和传热传质理论,为温室蔬菜植物开发了一维植物表面气候模型(PSCLIMATE)。该模型使用描述温室结构和植物冠层特征的参数以及冠层上方的常规气候观测值来预测冠层和叶片表面的小气候。该模型的输出包括太阳辐照度,空气温度和相对湿度以及叶片表面的温度,蒸气压赤字和湿度的垂直剖面。该模型的默认植物是黄瓜,该模型已使用1996年秋季生长季节在温室黄瓜实验中收集的小气候数据进行了验证。该模型精确地预测了冠层内的温度和相对湿度以及温度和湿度在大多数情况下在叶片表面。当空气温度超过22摄氏度并处于强制通风状态时,该模型高估了下部机盖的空气温度。该动态模型在2002-03年进一步扩展到了温室番茄(PSCLIMATE-Tomato)。在该模型中使用了番茄植物的生理参数,番茄冠层的结构参数以及根据参考值和测量值确定的冠层内的风速分布。在2002-03年冬季的温室番茄实验中收集的小气候数据用于验证模型。该模型可以正确预测冠层内部和叶片表面的微气候变量,尽管发现在阳光正午时正午时阳光观测值非常高的情况下与观测值存在一些偏差。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号