江蘇省霧霾天氣特征分析

doi:10.3969/2015jms.0030

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江蘇省霧霾天氣特征分析
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                        10.3969/2015jms.0030
                    
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基金項(xiàng)目:國(guó)家自然科學(xué)基金重點(diǎn)資助項(xiàng)目（41030636）

Characteristics analysis on fog and haze weather in Jiangsu province

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根據(jù)2007年1月-2013年12月江蘇省國(guó)家基準(zhǔn)氣候站的逐日地面觀測(cè)資料，分析了江蘇省霧、霾日數(shù)的氣候變化特征以及霾天氣發(fā)生時(shí)的主要?dú)庀笠貓?chǎng)特征。結(jié)果表明：（1）霧日數(shù)分布從江蘇省東部向西部逐漸減少，霾分布由南向北逐漸遞減。（2）年際變化上，霧日數(shù)呈現(xiàn)一定的波動(dòng)，霾日數(shù)逐年增長(zhǎng)。秋、冬兩季霧日數(shù)較多；霾日數(shù)在夏季最少。霧、霾天氣分別在08時(shí)和14時(shí)發(fā)生次數(shù)最多。（3）淮安中度霾居多，微風(fēng)、高濕情況下霾發(fā)生概率最高，不同季節(jié)風(fēng)向分布不同。（4）風(fēng)速與能見(jiàn)度成正相關(guān)關(guān)系，春、夏季的相關(guān)性較差，秋、冬季相關(guān)性相對(duì)較好。能見(jiàn)度與相對(duì)濕度春、冬兩季兩者之間呈明顯的線性負(fù)相關(guān)，而夏、秋季擬合曲線呈非線性負(fù)相關(guān)。

Abstract:

By using the conventional observation data during 2007-2013 in Jiangsu province, the climatic variation features of fog and haze days and the main meteorological elements characteristics of haze weather are preliminarily analyzed. Results show that:(1)the distribution of fog days was gradually decreasing from the east to the west while the haze days were gradually decreasing from north to south in Jiangsu. (2)In interdecadal variation, the fog days has a fluctuation trend and the haze days increased yearly. The fog days occurred more in autumn and winter while the haze days occurred least in summer. Fog and haze weather are mostly happened at 08:00 and 14:00 in a day. (3)Moderate haze weather happened mostly in Huaian. When the wind speed is less than 3 m·s^-1 and the humidity remains between 50% and 60%, the haze weather occured most. (4) A positive linear correlation existed between wind speed and visibility, which shows remarkable correlation in autumn and winter. A negative linear correlation between relative humidity and visibility was found in spring and winter but nonlinear correlation in the fitting curve of summer and autumn.

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曹劍秋,郭品文.江蘇省霧霾天氣特征分析.氣象科學(xué),2016,36(4):483-493 CAO Jianqiu, GUO Pinwen. Characteristics analysis on fog and haze weather in Jiangsu province. Journal of the Meteorological Sciences,2016,36(4):483-493

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收稿日期:2015-03-08
最后修改日期:2015-04-13
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在線發(fā)布日期: 2016-09-07
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