Gao Zhi-Yong, Wang You-Ke, Wei Xin-Guang, Liu Shou-Yang, He Zi-Li, Zhou Yu-Hong
Ying Yong Sheng Tai Xue Bao. 2014 Mar;25(3):725-30.
Dew forming on plant leaves through water condensation plays a significant ecological role in arid and semi-arid areas as an ignorable fraction of water resources. In this study, an artificial intelligent climate chamber and an automatic temperature-control system for leaves were implemented to regulate the ambient temperature, the leaf surface temperature and the leaf inclination for dew formation. The impact of leaf inclination, ambient temperature and dew point-leaf temperature depression on the rate and quantity of dew accumulation on leaf surface were analyzed. The results indicated that the accumulation rate and the maximum volume of dew on leaves decreased with increasing the leaf inclination while increased with the increment of dew point-leaf temperature depression, ambient temperature and relative humidity. Under the horizontal configuration, dew accumulated linearly on leaf surface over time until the maximum volume (0.80 mm) was reached. However, dew would fall down after reaching the maximum volume when the leaf inclination existed (45 degrees or 90 degrees), significantly slowing down the accumulative rate, and the zigzag pattern for the dynamic of dew accumulation appeared.
通过水凝结在植物叶片上形成的露水,作为一种不可忽视的水资源,在干旱和半干旱地区发挥着重要的生态作用。在本研究中,采用了人工智能气候箱和叶片自动温度控制系统来调节环境温度、叶片表面温度和叶片倾斜度以促进露水形成。分析了叶片倾斜度、环境温度和露点 - 叶片温度差对叶片表面露水积累速率和积累量的影响。结果表明,叶片上露水的积累速率和最大体积随叶片倾斜度的增加而降低,随露点 - 叶片温度差、环境温度和相对湿度的增加而增加。在水平配置下,露水在叶片表面随时间呈线性积累,直至达到最大体积(0.80毫米)。然而,当存在叶片倾斜度(45度或90度)时,露水在达到最大体积后会掉落,显著减缓积累速率,并出现露水积累动态的锯齿状模式。