| 苏州城区能见度与颗粒物浓度和气象要素的相关分析 |
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| 引用本文： | 张 剑,刘红年,唐丽娟,朱 焱,周志恩,蒋维楣.苏州城区能见度与颗粒物浓度和气象要素的相关分析[J].环境科学研究,2011,24(9):982-987. |
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| 作者姓名： | 张 剑 刘红年 唐丽娟 朱 焱 周志恩 蒋维楣 |
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| 作者单位： | 1.南京大学大气科学学院, 江苏 南京 210093 |
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| 基金项目： | 国家重点基础研究发展计划(973)项目(2010CB428501); 苏州市气象局重点支持项目(SZ200901) |
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| 摘 要： | 利用苏州市2009年9月─2010年5月的颗粒物(包括黑碳，PM2.5和PM10)质量浓度、能见度、相对湿度、风速、风向、气温等观测资料，分析了苏州城区能见度与颗粒物质量浓度及气象要素的相关关系.结果表明:ρ(黑碳),ρ(PM2.5)和ρ(PM10)与能见度的r(相关系数)分别为-0.465，-0.359和-0.238，这3种颗粒物中，能见度与ρ(黑碳)的相关性最显著.当相对湿度≤60%时，ρ(黑碳)，ρ(PM2.5)和ρ(PM10)与能见度的r分别为-0.675，-0.411和-0.364.相对湿度较低时，颗粒物与能见度相关性较好.能见度与温度、风速的r分别为0.132和0.188，与相对湿度的r为-0.632.用颗粒物质量浓度和气象要素建立的能见度多元线性回归模型效果不好，在该模型基础上用ρ(黑碳)，ρ(PM10)和相对湿度建立了能见度的多元二次回归模型，R(复相关系数)达到0.865，R2(复决定系数)达到0.749.
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| 关 键 词： | 能见度 颗粒物质量浓度 相关性 回归模型 苏州 |
| 收稿时间： | 2010/12/12 0:00:00 |
| 修稿时间： | 2011/2/21 0:00:00 |
Correlation Analysis between Atmospheric Visibility and Particulate Mass Concentration as well as Meteorological Factors over Suzhou Urban Area |
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| ZHANG Jian,LIU Hong-nian,TANG Li-juan,ZHU Yan,ZHOU Zhi-en and JIANG Wei-mei.Correlation Analysis between Atmospheric Visibility and Particulate Mass Concentration as well as Meteorological Factors over Suzhou Urban Area[J].Research of Environmental Sciences,2011,24(9):982-987. |
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| Authors: | ZHANG Jian LIU Hong-nian TANG Li-juan ZHU Yan ZHOU Zhi-en and JIANG Wei-mei |
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| Institution: | 1.School of Atmospheric Sciences, Nanjing University, Nanjing 210093, China2.Suzhou Meteorological Bureau, Suzhou 215131, China3.Environmental Science Institute of Chongqing, Chongqing 401147, China |
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| Abstract: | Data of particulate mass concentration,including black carbon(BC),PM2.5 and PM10,were analyzed together with surface meteorological factors in Suzhou,China,from September 2009 to May 2010.We conducted correlation analysis between visibility and particulate mass concentration,as well as meteorological elements including relative humidity,wind speed,wind direction and air temperature.The results indicated that visibility was negatively correlated with mass concentration of BC,PM2.5 and PM10,with correlation c... |
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| Keywords: | visibility particulate mass concentration correlation regression model Suzhou |
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