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基于城市联动效应的湖州市雾霾天气特征研究 被引量:1
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作者 程美英 唐洪雷 +1 位作者 钱乾 宋洁 《湖州师范学院学报》 2019年第10期64-68,共5页
以湖州市2015-2018年中国环境监测总站和湖州市气象局网站公布的气象数据为基础,采用统计学方法分析湖州市近4年雾霾天气年、月变化特征,以及近4年PM 2.5、PM10和O3年均浓度变化,并引入社会网络分析法分析周边城市对湖州市雾霾污染产生... 以湖州市2015-2018年中国环境监测总站和湖州市气象局网站公布的气象数据为基础,采用统计学方法分析湖州市近4年雾霾天气年、月变化特征,以及近4年PM 2.5、PM10和O3年均浓度变化,并引入社会网络分析法分析周边城市对湖州市雾霾污染产生的影响,最后给出湖州市雾霾治理的对策建议. 展开更多
关键词 湖州市 霾天气特征 污染城市联动效应 社会网络分析法
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近十年天津市霾日数变化特征及持续性霾天气特征分析 被引量:2
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作者 郑继强 杨洋 +2 位作者 侯景岳 沈博文 柳圣乾 《科技风》 2019年第9期116-119,共4页
本文利用天津滨海国际机场2008—2017年每隔半小时发布的METAR报文、ERA-Interim数据以及探空数据等,分析了近十年天津市霾日数变化特征,并从湿度、风场、压力场等方面进行霾的成因分析,此外还挑选一次持续性霾天气进行个例分析,结果表... 本文利用天津滨海国际机场2008—2017年每隔半小时发布的METAR报文、ERA-Interim数据以及探空数据等,分析了近十年天津市霾日数变化特征,并从湿度、风场、压力场等方面进行霾的成因分析,此外还挑选一次持续性霾天气进行个例分析,结果表明:1)天津市年霾日数从2008年逐年上升,在2014年达到十年间最高值,之后有明显下降趋势,2017年降至十年间最低值。2)从季节分布来看,天津地区霾天气呈现全年易发的特点,但总体来看,秋冬较春夏多,其中12月最多,5月最少。3)一日之中,霾出现的概率有明显的日变化特征,清晨6点以后霾的出现频率剧增,高峰值出现在9-12点,午后,霾逐渐消散或转为轻雾。4)在霾天气发生前后,能见度、温度、湿度、风向风速均有显著差异,冬季霾在刚出现时,风向变化不明显,以偏南风为主,此后风向顺转,在霾消散的过程中,以西北风为主。5)逆温层的存在和大气层结稳定是霾发生的一个重要条件,表现为多个逆温层,逆温层高度较高,厚度较大。 展开更多
关键词 日数 气象成因 霾天气特征 风场 逆温
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Study on the Variation Characteristics of Haze Weather in Hubei Province during 1980-2012
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作者 Tianxing SU Mingfang XU +3 位作者 Xiang ZHOU Zaiqiang YANG Jijian YUAN Haiyan ZHANG 《Agricultural Science & Technology》 CAS 2015年第1期176-181,共6页
This paper, using the method of "the combination of 14 o'clock relative humidity, visibility and weather phenomena", selected haze days during 1980-2012 from 13 stations of Hubei Province, and studied ye... This paper, using the method of "the combination of 14 o'clock relative humidity, visibility and weather phenomena", selected haze days during 1980-2012 from 13 stations of Hubei Province, and studied years of variation characteristics of haze weather in Hubei Province. The results showed that the average annual haze days showed a fluctuant rising trend in whole from 1980 to 2012, but there were many peak value and valley value during the whole changing process; haze days of most stations showed an increasing trend, among which the stations with less than50 d haze days had a more obvious increasing trend, and the spatial distribution of annual mean haze days had distinct inhomogeneity. Haze days of Hubei Province presented the distribution characteristics of more in autumn and winter, and less in spring and summer, in which haze days during December-January were the most,and haze days during July-August were the least. Terrain had a big impact on local haze days, piedmont leeward zones were prone to haze days, mountainous regions were just the opposite. The research suggested that we should combine different situations with different stations instead of exclusively from the mean value of multiple stations when we analyze the mean change of haze days in a broader area, to investigate the overall changing trend and the reasons. 展开更多
关键词 HAZE HUBEI Spatial and temporal distribution TERRAIN
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