| 用TSI天气分型方法分析上海环境空气质量 |
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| 引用本文： | 田宏伟,谈建国,杜子璇.用TSI天气分型方法分析上海环境空气质量[J].河南气象,2008,31(1):51-55. |
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| 作者姓名： | 田宏伟 谈建国 杜子璇 |
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| 作者单位： | [1]河南省气象科学研究所,郑州450003 [2]南京信息工程大学环境科学与工程学院,南京210044 [3]上海市城市环境气象中心,上海200030 |
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| 摘 要： | 基于主成分分析和聚类分析的TSI天气分型方法，把2003-2005年上海市的气象资料按季节分型，对比分析上海市四季不同天气类型下的空气污染指数，结果发现：四季API最大值的天气类型为冬季Ⅷ型、春季Ⅲ型、夏季Ⅰ型、秋季Ⅱ型；不同天气类型下同一污染物指数冬季差别最显著，春秋季节次之，夏季最不显著；冬季污染物指数最大，春季次之，夏季最小；各季节各天气类型下，均以PM10污染指数最大。
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| 关 键 词： | TSI天气分型 主成分分析 聚类分析 空气污染指数 |
Study on Shanghai Ambient Air Quality with Temporal Synoptic Index |
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| Institution: | Tian Hongwei, Tan Jianguo , Du Zixuan ( 1. Henan Institute of Meteorological Sciences, Zhengzhou 450003, China; 2. School of Environmental Science and Engineering, NUIST, Nanjing 210044, China; 3. Shanghai Urban Environmental Meteorological Research Center, Shanghai 200030, China) |
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| Abstract: | In this paper, Shanghai meteorological data is classified for each season from 2003 to 2005 through the temporal synoptic index （TSI） , which is based on principal component analysis and cluster analysis. Shanghai air pollution index for each season is analyzed eontrastively and the results show the biggest air pollution indices are winter in cluster Ⅷ, spring Ⅱ, summer Ⅰ, autumn Ⅱ. For the homogeneous pollution index, the differentia is significant in winter than in spring and autumn, the least significant in summer. The pollution index maximum is in winter, second in spring, minimum in summer. The pollution index of PM10 is the biggest in various clusters in any season. |
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| Keywords: | temporal synoptic index principal component analysis cluster analysis air pollution index |
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