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中国农学通报 ›› 2017, Vol. 33 ›› Issue (27): 124-131.doi: 10.11924/j.issn.1000-6850.casb16070016

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

近55年洞庭湖区雾和风的时空特征分析

黄菊梅刘擎,欧阳芳芳袁泉,覃鸿   

  1. 岳阳市气象局,岳阳市气象局,岳阳市气象局
  • 收稿日期:2016-07-04 修回日期:2017-08-16 接受日期:2016-12-23 出版日期:2017-10-09 发布日期:2017-10-09
  • 通讯作者: 黄菊梅刘擎
  • 基金资助:
    湖南省气象局2016 年重点科研课题“岳阳水上安全气象预警预报技术研究”(XQKJ16A003)。

Spatio-temporal Characteristics of Fog and Wind in Dongting Lake

  • Received:2016-07-04 Revised:2017-08-16 Accepted:2016-12-23 Online:2017-10-09 Published:2017-10-09

摘要: 为预防和减少因气象灾害导致的各种航运交通事故发生。利用洞庭湖区18个气象站1960—2014年雾、风资料,对其时空变化和驱动因子进行分析和探讨。结果表明,近55年来大雾日数显著减少,而轻雾日数极显著增加;大风日数、平均风速均极显著减少。大雾日数自北向南增加、马蹄形周围山区向中间滨湖减少;轻雾日数西北部和南部为2个高值中心,低值区从东部到西南部呈舌状分布;大风日数、平均风速分布与大雾的空间分布基本相反。大雾日数西北部—中部—东南部呈“减少—增加—减少”的变化趋势;轻雾日数大部分站显著增加,但增加幅度区域性不明显;各站大风日数均显著性减少,减少幅度高值区位于洞庭湖水体周围,低值区位于南部;平均风速绝大多数站点呈显著减小趋势,减少幅度高值区基本位于洞庭湖水体周围。水体热效应、气候变暖变干、人类活动等是导致雾和风的时空特征及其变化的重要驱动因子。

关键词: 水稻, 水稻, 大螟, 枯心, 白穗, 空间分布, 抽样技术

Abstract: To prevent and reduce a variety of shipping traffic accidents caused by meteorological disasters, it analyzes and explores theirs’ spatio-temporal change and driving factors by using the materials of fog and wind from 18 meteorological stations in the Dongting lake area during 1960-2014. The results show that nearly 55 years thick fog days were significantly reduced, mist days were significantly increased, gale days and the average wind speed were both significantly reduced. Thick fog days increased from north to south and decreased from the surrounding of horseshoe-shaped mountains to the middle of lakeside. Two high-value centers of mist days appeared in the northwest and the south, and the tongue-shaped distribution of low-value zone was from the east to the southwest. Gale days and the average wind speed were opposite basically to the distribution of fog. Thick days in northwest-center-southeast had the change trend with “reduce-increase-reduce”. Mist days in most stations were significantly increased, but the increase range of region was not obvious. Gale days in all stations were significantly reduced, the decrease range of high-value zone was located around the water body of Dongting Lake and low-value zone was located in the south. The average wind speed of most stations was significantly decreased, and the decrease range of high-value zone was located basically around the water body of Dongting Lake. The heating effect of the water body, climate warming and drying and human activities are important driving factors which influence spatio-temporal characteristics and change of fog and wind.