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深圳市大气能见度特征分析及其与主要污染物因子相关性分析
引用本文:罗杰,林楚雄,陈嘉晔,张晓东,吕志新.深圳市大气能见度特征分析及其与主要污染物因子相关性分析[J].中国环境监测,2012,28(2):45-48.
作者姓名:罗杰  林楚雄  陈嘉晔  张晓东  吕志新
作者单位:深圳市环境监测中心站,广东深圳,518049
摘    要:近些年,随着深圳市大气污染防治举措的加强,空气质量不断趋好。文章汇总了深圳市2006~2009年大气能见度特征数据,分析了深圳市能见度的年度、季度和月度变化,发现近些年深圳市大气能见度具有向好的发展趋势。探讨了大气能见度与空气主要污染物PM10、NO2、SO2的相关关系,计算了PEARSON相关系数和偏相关系数,发现PM10浓度与能见度具有显著相关性。在此基础上总结了各个主要污染物与能见度的回归曲线。利用多元线性回归法建立了大气能见度与空气主要污染物PM10、NO2、SO2之间的回归方程。

关 键 词:大气能见度  相关分析  回归方程
收稿时间:2010/7/17 0:00:00
修稿时间:2010/11/21 0:00:00

Characterization of Visibility and Correlation Analysis of Visibility with Effect Factors in Shenzhen
LUO Jie.Characterization of Visibility and Correlation Analysis of Visibility with Effect Factors in Shenzhen[J].Environmental Monitoring in China,2012,28(2):45-48.
Authors:LUO Jie
Institution:Shenzhen Environment Monitoring Centre, Shenzhen 518049, China;Shenzhen Environment Monitoring Centre, Shenzhen 518049, China;Shenzhen Environment Monitoring Centre, Shenzhen 518049, China;Shenzhen Environment Monitoring Centre, Shenzhen 518049, China;Shenzhen Environment Monitoring Centre, Shenzhen 518049, China
Abstract:In recent years, with the development of atmospheric polluting protection, the quality of atmosphere gets well constantly in Shenzhen. This article gathers visibility data from 2006 to 2009, then, yearly, seasonly and monthly variations of visibility were analyzed. Statistic Analysis of visibility data shows that visibility gets well. The correlative relation was calculated between the concentrations of each air pollutants(PM10,NO2,SO2) and visibility, so as to pearson correlative coefficient and partial correlative coefficient, the regression curve was also plotted. At last, the regression equation based on PM10,NO2,SO2 has been established.
Keywords:Atmosphere visibility  Correlation analysis  Regression equation
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