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中国农学通报 ›› 2015, Vol. 31 ›› Issue (20): 186-194.doi: 10.11924/j.issn.1000-6850.casb15010150

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

近50年青海高原生长季日照时数的变化特征

祁栋林,苏文将,李 璠,肖宏斌,李晓东,周万福   

  1. (青海省气象科学研究所,西宁 810001)
  • 收稿日期:2015-01-21 修回日期:2015-07-01 接受日期:2015-04-24 出版日期:2015-07-28 发布日期:2015-07-28
  • 通讯作者: 祁栋林
  • 基金资助:
    国家自然科学基金地区科学基金项目“青藏高原地区气溶胶变化特征”(41161009);国家科技支撑项目“柴达木地区降水精细化综合预报模式”(2012BAC09B05-2)。

Variation Characteristics of Sunshine Hours in Growing Season in Qinghai Plateau in Recent 50 Years

Qi Donglin, Su Wenjiang, Li Fan, Xiao Hongbin, Li Xiaodong, Zhou Wanfu   

  1. (Qinghai Institute of Meteorological Science, Xi’ning 810001)
  • Received:2015-01-21 Revised:2015-07-01 Accepted:2015-04-24 Online:2015-07-28 Published:2015-07-28

摘要: 为了了解近50年青海高原生长季日照时数的分布规律和变化趋势及其变化原因,选用青海高原43个气象站的基本气象数据,分析整个区域和4个生态功能区生长季日照时数在过去50年中的变化趋势和变化成因。结果表明:青海高原整个区域和柴达木盆地生长季日照时数呈显著减少趋势,其他3个生态功能区变化趋势不明显。空间分布为从西北部向东南部逐渐减小。变化趋势存在较大的空间差异性。整个区域和柴达木盆地日照时数突变时间分别为2004年和1999年,环青海湖地区、东部农业区和三江源地区在2006—2008年之间发生突变。影响青海高原整个区域和生态功能区生长季日照时数的主要因子是云量,而次要因子表现略有不同。生长季日照时数的分布随着经度和海拔高度的增加而减少,随着纬度的增加而增加,经度的影响最大。

关键词: 普洱茶, 普洱茶, 酒精性脂肪肝, 预防作用

Abstract: The paper aims to clarify distribution regular pattern, variation trend and reason of changing of sunshine hours in growing season in Qinghai plateau. Based on general meteorological data recorded by 43 stations, the author analyzed variation trend and changing reasons of sunshine hours in growing season over the past 50 years in the whole region and 4 different ecological functional areas. The results showed that sunshine hours in growing season decreased significantly in the whole region and Qaidam Basin and the variation was not significant in the other 3 functional areas. Sunshine hours decreased from northwest to southeast on the spatial distribution, and the variation trend differed greatly. The mutation of sunshine hours was in 2004 and 1999 in the whole region and Qaidam Basin, while the mutation time of the other three areas was in 2006 to 2008. The main impact factor of sunshine hours in growing season was cloudiness, and the secondary factors were slightly different. The sunshine hours were decreasing with the increase of longitude and altitude, and decreasing with the decrease of latitude, the influence of longitude was the largest.