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成都市民航气象行业标准下的低能见度时空分布特征研究
引用本文:赵清越,刘小渝,李昕翼.成都市民航气象行业标准下的低能见度时空分布特征研究[J].高原山地气象研究,2014,34(1):57-61.
作者姓名:赵清越  刘小渝  李昕翼
作者单位:1. 民航西南地区空中交通管理局, 成都 610225;
基金项目:致谢感谢成都高原气象研究所的李跃清老师在论文撰写过程中给予的帮助.
摘    要:本文采用1980~2010年成都市14个站31年能见度资料,对于民航气象行业标准下的低能见度时空分布进行了统计分析。结果表明:对飞行有影响的低能见度(<600m)浓雾天气早上最易出现在成都市南部、西南部及东部,且该区域部分站点浓雾较难消散,其中新津县和蒲江县夜间开始就易出浓雾天气。西北部早上不易出现浓雾天气,但位于该区域的郫县早上和都江堰下午至夜间相对易出能见度在600~1000m的雾。1980~2010年期间,成都市多数站点年浓雾天数呈下降趋势,只有新津站随时间逐年上升。出现其它级别低能见度的天数年变化多为波动形式。 

关 键 词:低能见度    民航气象行业标准    时空分布
收稿时间:2013-08-21

Study on Spatial and Temporal Characteristics of Low Visibility in Chengdu Based on Civil Aviation Meteorological Standard
ZHAO Qingyue,LIU Xiaoyu,LI Xinyi.Study on Spatial and Temporal Characteristics of Low Visibility in Chengdu Based on Civil Aviation Meteorological Standard[J].Plateau and Mountain Meteorology Research,2014,34(1):57-61.
Authors:ZHAO Qingyue  LIU Xiaoyu  LI Xinyi
Affiliation:1. Southwest Aviation Travel Management Bureau, Chengdu 610225, China;2. Chengdu Meteorology Observatory, Chengdu 610072, China
Abstract:On the basis of 1980 - 2010 observed visibility data from 14 stations in Chengdu, spatial and temporal distribution of low visibility based on civil aviation meteorological standard is analysed preliminarily. Results show: Heavy fog( visibility 〈 600m) impacting flight seriously is likely to happen in the south, southwest and east of Chengdu in the morning, and it can last long in some parts of these districts. Moreover, heavy fog can generate in the night in Xinjin and Pujiang station. Yet heavy fog hardly happens in northwest part of Chengdu, but fog(600m ≤ visibility 〈 1000m) can easily happen in Pixian in the moning, and Dujiangyan from afternoon to the evening, both of which are in the district above. From 1980 to 2010, the linear trend of heavy fog days in most stations is inclined to decrease; however, Xinjin station is in rising trend. The other low visibility ranking days fluctuate annually in most stations.
Keywords:low visibility  civil aviation meteorological standard  spatial and temporal distribution
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