中国农业气象 ›› 2012, Vol. 33 ›› Issue (03): 368-373.doi: 10.3969/j.issn.1000-6362.2012.03.008

• 论文 • 上一篇    下一篇

玉溪烟区烤烟主要大田生长期紫外辐射分析与模拟

颜侃,胡雪琼,陈宗瑜   

  1. 1云南农业大学农学与生物技术学院,昆明650201;2云南省气候中心,昆明650034
  • 收稿日期:2011-10-29 出版日期:2012-08-20 发布日期:2012-08-27
  • 作者简介:颜侃(1986-),四川广安人,硕士生,研究方向为高原气候生态与植物生理。Email:yankan911@163.com
  • 基金资助:
    公益性行业科研专项“农用天气预报关键技术研究”(GYHY200906021);国家烟草专卖局“烟叶品牌导向原料体系研究”(110200801034)

Analysis and Simulation of UV Radiation during Tobacco Field Growth Period in Yuxi City

YAN Kan,HU Xue qiong,CHEN Zong yu   

  1. 1College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming650201,China;2Yunnan Climate Center, Kunming650034
  • Received:2011-10-29 Online:2012-08-20 Published:2012-08-27

摘要: 选取云南省玉溪市红塔区和通海县两个不同海拔烟区连续3a(2008-2010年)烤烟主要大田生长期(5-8月),利用逐日正午(11:30-12:30)紫外辐射强度和同期光照度、部分气候要素值的观测资料,分析紫外辐射强度变化与气候要素之间的关系,并选取光照度和云量两个要素对紫外辐射强度进行模拟预测。结果表明,烤烟大田生长期紫外辐射强度均值的年际变化不显著,同时期气象条件中,云量是影响烤烟生长期紫外辐射强度均值的主要因子。光照度、云量与紫外辐射强度变化的关系较密切,紫外辐射强度与光照度的比值较恒定,紫外辐射强度随云量的增加而降低。统计回归模型模拟表明,可用光照度和云量对紫外辐射强度进行估算,模拟值较准确。

关键词: 烤烟, 大田生长期, 紫外辐射, 气象因子

Abstract: Based on observational data of ultraviolet radiation,daylight illumination and meteorological parameters during tobacco field growth period (FGP, May to August) from 2008 to 2010 in Yuxi, authors analyzed the relationship between UV radiation intensity and meteorological parameters by using regression method and selected the illumination and cloud cover amount to simulate the ultraviolet radiation intensity. The results showed that the average values of UV intensity during FGP at the same station had no significant difference between different years.Meanwhile,the average values of UV intensity were influenced by the meteorological factors.And the dominant influencing factor was proved to be the cloudage.The daylight illumination and cloudage were best correlated with UV intensity. Authors also investigated the ratio of UV intensity to the daylight illumination, and found that the ratio was not constant but quite stable, UV intensity decreased with the increase of cloudage. The regression model was convenient to calculate ultraviolet intensity only because it only need two input variables i.e.illumination and cloudage.

Key words: Tobacco, Field growth period, Ultraviolet radiation, Meteorological factor

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