我国PM2.5空间关联性的探讨
A study on PM2.5 distribution over China using principal component analyses
查看参考文献19篇
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文摘
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我国近年大气污染日趋严重,环保部自2013年起在其官方网站公布国家空气质量监测站的大气污染物数据,为我们进行大气污染的研究提供了数据支持.本文选取了2015年的PM2.5数据,探讨PM2.5的变化是局域性还是全局性的.由数据可计算各监测站之间PM2.5的关联,通过主成分分析可确定PM2.5的所有本征涨落模,其中第一涨落模在第一、二和四季度呈现出同涨同跌的特性,表明PM2.5变化是全局性的.在第三季度,第一涨落模将所有监测站分成了两大板块,分别具有同涨同跌的特性,这可能与夏季风的影响有关系;第二涨落模将所有监测站分成了更多的小板块,这可能与局域的排放和气象条件有关.由各监测站之间的关联,还可以计算相关系数对空间距离的依赖关系,研究显示,相关系数平均值m与空间距离x依赖关系在第一、二和四季度的一定范围内满足幂律关系m(x)~x~(–β),第一和第四季度的β≈0.73,而第二季度的β大约为1,第三季度的相关系数平均值非常小,并随空间距离x较快减小,表现出不同的特性.综合上面研究,可以确定PM2.5空间关联性不是局域的,而是长程相关的. |
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其他语种文摘
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Recently China has been suffering from air pollution. The ministry of environmental protection has been publishing air quality index data since 2013, which has enabled us to better understand the situation of air pollution. We used the PM2.5 data in 2015, to study whether the spatial variation of PM2.5 is local or regional. We combined Correlation analysis with the Principal Component Analysis method, and discovered that the PM2.5 concentration in China can be divided into different modes. For the first mode, most of the country experiences cyclonic growth and falls, which means that there is a nationwide regional trend. The only accident appears in the third season, probably a result of the east Asia summer monsoon. For the second mode, all seasons contributions are close, and there’s no evident cluster formed, attributing to local emission and meteorological conditions. We also compared the mean value of the correlation efficient with the geographical distance for all stations. There’s a double-log relationship as m(x)<x~(–β) in the 1st, 2nd and 4th season, where β equals 0.73 and 1. The equation doesn’t exist on the 3rd season, which means there is some other mechanism. In whole This indicates that the PM2.5 concentration around the country is not local but regional related. |
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来源
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中国科学. 物理学
, 力学, 天文学,2017,47(2):020501-1-020501-8 【核心库】
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DOI
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10.1360/SSPMA2016-00367
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关键词
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PM2.5
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主成分分析
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关联函数
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地址
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中国科学院地球环境研究所, 中国科学院气溶胶化学与物理重点实验室, 西安, 710061
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中国科学院大学, 中国科学院理论物理重点实验室, 北京, 100049
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1674-7275 |
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学科
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数学 |
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文献收藏号
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CSCD:5917165
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