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边界层臭氧浓度变化特征及相关因子分析
引用本文:周艳明,刘厚凤,吴保庆. 边界层臭氧浓度变化特征及相关因子分析[J]. 辽宁气象, 2008, 24(1): 63-66
作者姓名:周艳明  刘厚凤  吴保庆
作者单位:山东师范大学人口·资源与环境学院,山东济南250014
摘    要:根据广州市城区麓湖、郊区花都测站的2004年污染物监测数据和气象资料,采用统计分析软件SPSS和Excel分析了广州市臭氧浓度的时间变化特征,包括臭氧浓度的年季变化、周变化及日变化特征,并分析了O3与污染物CO、NOx(NO和NO2)、SO2、PM10以及与气象条件之间的相关性。结果表明:广州市臭氧浓度一年出现2个峰值,分别为6月和10月并且郊区浓度大于城区;一周之中最大浓度出现在周末;O3日平均浓度与NOx、NO、CO、相对湿度负相关性较显著,与PM10和气温正相关性较显著;在气温较高、湿度较低的晴朗少云天气时,易造成广州市臭氧的高浓度。

关 键 词:边界层  O3  臭氧浓度  变化特征  相关性分析

Change characteristics of O3 concentration in the boundary layer and its controlling factors
ZHOU Yan-ming,LIU Hou-feng,WU Bao-qing. Change characteristics of O3 concentration in the boundary layer and its controlling factors[J]. Liaoning Meteorological Quarterly, 2008, 24(1): 63-66
Authors:ZHOU Yan-ming  LIU Hou-feng  WU Bao-qing
Affiliation:(School of Population, Resources and Environment, Shandong Normal University, Jinan 250014, China)
Abstract:Based on meteorological data and pollutant monitoring data in Lihu station and Huadu station of Guangzhou in 2004, the annual, weekly and diurnal changes of ozone concentration in Guangzhou were discussed by SPSS software and Excel software. The relationships between ozone and pollutants (CO, NO, NO2, SO2 and PM10) as well as meteorological conditions were also analyzed. The results indicate that two peak values of ozone concentrations during one year appear in June and October, respectively. The diurnal average concentration of ozone is obvious negative correlation with NOx, NO, CO and relative humidity, and it is obvious positive correlation with PM10 and temperature. Under the conditions of the higher temperature and the lower humidity as well as clearness weather, it is easy to result in the higher ozone concentration in Guangzhou.
Keywords:Boundary layer  Ozone  Ozone concentration  Change characteristics  Correlation analysis
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