沈大高速公路雾气候特征与气象要素分析

气象与环境学报

沈大高速公路雾气候特征与气象要素分析

李岚¹ 李洋²邢江月¹关建华¹孙丽¹ 孙婧¹

1.辽宁省气象科技服务中心，辽宁沈阳 110015；2.辽宁省人工影响天气办公室，辽宁沈阳 110015

收稿日期:2008-09-17 修回日期:2008-10-23 出版日期:2009-02-28 发布日期:2009-02-28

Climatic characteristics of fog and its relationship with meteorological elements along the Shenyang-Dalian highway

LI Lan¹ LI Yang²XING Jiang-yue¹ GUAN Jian-hua¹ SUN Li¹ SUN Jing¹

1.Meteorological Science and Technology Service Centre in Liaoning Province, Shenyang 110016, China; 2. Liaoning Weather Modification Office, Shenyang 110016, China

Received:2008-09-17 Revised:2008-10-23 Online:2009-02-28 Published:2009-02-28

摘要/Abstract

摘要： 利用1958—2007年沈大高速公路沿线6站雾日资料对沈大高速公路雾的气候特征及气象要素进行分析。结果表明：沿海地区雾日偏多，且总体呈上升趋势，内陆地区雾日偏少，且呈下降趋势。内陆地区雾多出现在秋冬季，沿海地区多出现在夏季。雾多在凌晨至日出前后时段生成，日出后逐渐消散，持续时间多为1—3 h。相对湿度、气温、风速和风向对雾的预报有较好指示意义：当相对湿度在90%—100%时，春季气温为-5—15 ℃、夏季为16—24 ℃、秋季为-3~19℃、内陆冬季为-20~2 ℃，沿海冬季为-7~4 ℃范围内，内陆风速为0—3 m•s-1，沿海风速为0—6 m•s-1，且沿海地区为偏南风时，雾易发生。

关键词: 沈大高速公路, 雾, 气候特征, 相对湿度, 气温

Abstract: Based on the daily fog data at six meteorological stations from 1958 to 2007 along the Shenyang-Dalian highway, the climatic characteristics of fog and its relationship with meteorological elements were analyzed. The results indicate that fog days in the coastal areas are more than in inland areas. It is increasing in the inland areas and descending in the coastal areas. Fog day appears mostly in autumn and winter in the inland areas, while it is in summer in the coastal areas. Fog usually forms at sunrise and disappears gradually after sunrise, and it would last for 1 to 3 hours. Fog forecast can be indicated by relative humidity, air temperature, wind speed and wind direction. Fog appears more easily when the relative humidity is between 90% and 100%, or when air temperature is between -5℃ and 15℃ in spring, 16℃ and 24℃ in summer, -3℃ and 19℃ in autumn, - 20℃ and 2℃ in winter in the inland areas, - 7℃ and 4℃ in winter in the coastal areas, or when wind speed is less than 3 m•s-1 in the inland areas and 6 m•s-1 with the leaning south wind in the coastal areas.

中图分类号:

P426.4

李岚李洋邢江月关建华孙丽孙婧. 沈大高速公路雾气候特征与气象要素分析[J]. 气象与环境学报, doi: .

LI Lan LI Yang XING Jiang-yue GUAN Jian-hua SUN Li SUN Jing. Climatic characteristics of fog and its relationship with meteorological elements along the Shenyang-Dalian highway[J]. Journal of Meteorology and Environment, doi: .

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: http://www.jme1984.net.cn/CN/

http://www.jme1984.net.cn/CN/Y2009/V25/I1/49

[1]	吴杰, 周建平, 邓学良, 王传辉, 周文鳞. 巢湖地区能见度特征及其影响因子分析[J]. 气象与环境学报, 2019, 35(2): 40-45.
[2]	侯依玲, 刘鸣彦, 赵春雨, 王涛. 东北地区气温演变的一致性与局地性特征研究[J]. 气象与环境学报, 2019, 35(2): 69-76.
[3]	王新伟, 张宇星, 魏芳芳. 山岳型风景区最高最低气温预报方法研究[J]. 气象与环境学报, 2019, 35(2): 92-96.
[4]	张海娜, 侯依玲, 赵春雨, 刘鸣彦, 王涛, 周晓宇, 崔妍, 敖雪, 易雪. CCSM4模式对东北气温和降水的模拟及预估[J]. 气象与环境学报, 2019, 35(1): 72-78.
[5]	朱梦媛, 张慧, 李爽, 张兵兵, 常松, 蔡福, 赵佳, 蔡文博. 播种期水分胁迫及补水对玉米出苗率的影响[J]. 气象与环境学报, 2019, 35(1): 101-107.
[6]	赵美艳, 余君, 蒋镇, 单薇薇. 重庆地区气温序列均一性检验及订正[J]. 气象与环境学报, 2018, 34(6): 148-155.
[7]	郭渠, 李瑞, 阮定伦, 张天宇. 重庆地区冬季雾气候变化特征及其成因分析[J]. 气象与环境学报, 2018, 34(5): 47-56.
[8]	陈跃浩, 熊明明, 曹经福, 杨艳娟. 雾霾天气对天津市太阳辐射影响的量化研究[J]. 气象与环境学报, 2018, 34(5): 25-30.
[9]	侯依玲, 刘鸣彦, 张海娜, 赵春雨. 1961—2015年东北区域最高与最低气温演变的气候特征[J]. 气象与环境学报, 2018, 34(5): 93-99.
[10]	吴刚哲;严金哲;任国玉;索南看卓. 朝鲜中西部地区春季植被覆盖度与气候因子的关系[J]. 气象与环境学报, 2018, 34(4): 112-118.
[11]	陈翔翔, 许爱华, 许彬, 肖安. 2000-2012年江西省三类区域性大雾时空分布及影响因素特征[J]. 气象与环境学报, 2018, 34(3): 37-47.
[12]	夏凡, 李昌义. 基于3种能见度方案山东地区雾天气预报试验研究[J]. 气象与环境学报, 2018, 34(3): 48-57.
[13]	贺志明, 邓诗茹, 吴琼, 李磊. 1963-2012年南昌市气温和降水变化分析[J]. 气象与环境学报, 2018, 34(2): 35-43.
[14]	于志明, 王驷鹞, 马冬亮. 渤海海洋气象灾害天气分型与预报指标研究[J]. 气象与环境学报, 2018, 34(1): 106-111.
[15]	王焕毅, 谭政华, 杨萌, 张翘, 蒋林杉. 三种数值模式气温预报产品的检验及误差订正方法研究[J]. 气象与环境学报, 2018, 34(1): 22-29.