| PM2.5变化趋势的联合多重分形分析 |
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| 引用本文： | 徐小丽,郑婷婷.PM2.5变化趋势的联合多重分形分析[J].合肥学院学报(自然科学版),2014,24(3):26-30. |
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| 作者姓名： | 徐小丽 郑婷婷 |
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| 作者单位： | 安徽大学数学科学学院 合肥230601 |
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| 基金项目： | 国家自然科学基金青年科学基金项目，安徽省高校省级优秀青年人才基金重点项目 |
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| 摘 要： | PM2.5是造成雾霾天气、降低能见度,影响交通安全的主要因素。首先基于主成分分析法分析得出PM10最能影响PM2.5浓度变化,再利用联合多重分形探究不同城市的PM2.5与PM10之间的关系。从而得出西安市及伦敦市的PM2.5和PM10之间的关系具有一致性,即PM10浓度偏低时PM2.5也偏低,而PM10浓度偏高时PM2.5却偏低。无论PM10浓度如何变化,相对而言,伦敦市PM2.5浓度波动更剧烈些。
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| 关 键 词： | PM. PM 主成分分析 联合多重分形 |
The Variation Trend of PM2.5 Based on The Joint Multi-fractal Analysis |
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| XU Xiao-li,ZHENG Ting-ting.The Variation Trend of PM2.5 Based on The Joint Multi-fractal Analysis[J].Journal of Hefei University :Natural Sciences,2014,24(3):26-30. |
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| Authors: | XU Xiao-li ZHENG Ting-ting |
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| Institution: | (School of Mathematical Sciences, Anhui University, Hefei 230601, China) |
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| Abstract: | PM2. 5 is the main factor to cause haze weather, low visibility and affect traffic safety. Firstly, use principal analysis to know that the change of PM10 concentration can influence the change of PM2. 5 concentration. Then the relationship between PM2. 5 and PM10 in different cities are to be known by joint multifractal. So it has been found that the relationship between PM2.5 and PM10 in different cities are consistent. Specifically, PM2. 5 concentration is always in low level when PM10 concentration has different levels. No matter how changes the concentration of PM10, relatively speaking, the PM2.5 concentration fluctuation of London is even stronger than Xi＇an. |
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| Keywords: | PM2 5 PMIO principal component analysis joint multi-fractal |
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