济南市大气能见度特征及其影响因素分析  

The Characteristics of Atmospheric Visibility and Analysis of Its Effect Factors in Jinan

作　　者：古金霞[1,2] 杜世勇 侯鲁健 霍光耀[1] 白志鹏[3] 吕波[1] 韩斌[3] 

机构地区：[1]天津城建大学理学院,天津300384 [2]济南市环境保护科学研究院,山东济南250014 [3]中国环境科学研究院,北京100012

出　　处：《南开大学学报（自然科学版）》2015年第6期53-60,共8页Acta Scientiarum Naturalium Universitatis Nankaiensis

基　　金：天津市科技计划项目(11JCYBJC5200);济南市科技计划项目(201101090)

摘　　要：依据济南市2011-2014年大气能见度、PM（2.5）、气态污染物（SO2、NO2、CO、O3）和相对湿度（RH）的连续在线监测数据,应用频数统计分析、相关性分析和多元线性归回分析等统计学方法分析了济南市大气能见度的特征及多元因子对能见度的影响.结果表明,2011-2014年济南市7级能见度（5-10 km）出现的概率均最高,分别为48.6%、39.6%、44.1%和44.3%.3个不同RH区段中（RH≤30%,30%PM（2.5）〉O3〉SO2〉CO〉NO2.Based on the online continuous monitoring data including atmospheric visibility,PM2.5,gaseous contaminant（SO2,NO2,CO,O3）and relative humidity（RH）from 2011 to 2014 year in Jinan city, the characteristics of atmospheric visibility and its effect factors were analyzed. Using frequency statistical analysis, correlation analysis and multiple linear return analysis, the characteristics of atmospheric visibility and its multiple effect factors on atmospheric visibility were statistically analyzed in Jinan City. The results indicated that the probability of seven grade visibility （5-10 km） was all the highest of 48.6%,39.6%,44.1% and 44.3% from 2011 to 2014 year in Jinan city, respectively. In the three sectors of the difference RH （RH≤ 30%,30%〈.RH≤60%,60%〈RH≤90%）, the correlation between atmospheric visibility and fine particles was the maximum in the sector of 30%〈.RH≤60%. By the multiple linear return analysis, the relational sequence was RH 〉PM2.〉 O3〉SO2〉NO2 between the atmospheric visibility and its multiple effect factors.

关 键 词：能见度 细颗粒物(PM2.5) 相对湿度 

分 类 号：X513[环境科学与工程—环境工程]