摘要
利用2013年1月—2014年12月北京地区PM_(2.5)和PM_(10)监测数据和同期近地面气象观测数据,采用非参数分析法(Spearman秩相关系数)研究了北京地区PM_(2.5)和PM_(10)的浓度对不同季节地面气象因素的响应。结果表明:北京地区大气颗粒物浓度水平具有明显的季节特征,冬季大气颗粒物污染最严重,夏季最轻。不同季节影响颗粒物浓度水平的气象因素各不相同,其中风速和日照时数为主要影响因素。PM_(2.5)和PM_(10)质量浓度对气象因素变化的响应程度也有较大区别,PM_(2.5)/PM_(10)比值冬季最高,PM_(2.5)影响最大,春季最低,PM_(10)影响最大。这些结论可对制订科学有效的大气污染控制策略提供参考。
Based on monitoring data of PM2.5 and PM10, and ground meteorological data from January 2013 to December 2014 in Beijing, the influence of meteorological conditions on concentration levels of PM2.5 and PM10 with different size ranges was investigated for four seasons using non-parameter statistical analysis such as Spearman correlation matrix. The results showed that there were obvious Seasonal characteristics of atmospheric particulate matter concentration in Beijing, the atmospheric particulate matter was the most serious in winter, and the lightest in summer. PM2.5 and PM10 were significantly correlated with one or more meteorological parameters in different seasons, in which the sunlight and wind were the main impact factors. The concentrations of both fine particles （PM2.5） and inhalable particles （PM10） were influenced by meteorological conditions, but to different extents. The PM2. 5/PM10 ratio was the highest in winter and the lowest in spring. These conclusions can provide reference for the development of scientific and effective air pollution control strategies.
作者
王嫣然
张学霞
赵静瑶
余新晓
姜群鸥
WANG Yanran ZHANG Xuexia ZHAO Jingyao YU Xinxiao JIANG Qun＇ou(Beijing Laboratory of Urban and Rural Ecological Environment, Key Laboratory of Soil and Water Conservation and Desertification Combating,Ministry of Education, School of Soil and Water Conservation ,Beijing Forestry University, Beijing 100083, China)
出处
《中国环境监测》
CAS
CSCD
北大核心
2017年第2期34-41,共8页
Environmental Monitoring in China
基金
北京市共建项目专项
国家林业公益性行业重大科研专项(201304301)
关键词
PM2.5
PM10
气象因素
非参数分析
北京
PM2.5
PM10
meteorological conditions
non-parameter statistical analysis
Beijing
