辽宁中部城市群可吸入颗粒物PM10和PM2.5的污染特征研究

气象与环境学报

辽宁中部城市群可吸入颗粒物PM10和PM2.5的污染特征研究

马雁军;王江山;王扬锋;刘宁微;洪也

中国气象局沈阳大气环境研究所

收稿日期:2008-04-08 修回日期:2008-06-20 出版日期:2008-10-01 发布日期:2008-10-01

Pollution characteristics of inhalable particles PM10 and PM2.5 in the city group of middle Liaoning province

MA Yan-jun; WANG Jiang-shan; WANG Yang-feng; LIU Ning-wei;HONG Ye

Institute of Atmospheric Environment

Received:2008-04-08 Revised:2008-06-20 Online:2008-10-01 Published:2008-10-01

摘要/Abstract

摘要： 利用2006年8月-2007年10月辽宁中部沈阳、鞍山、抚顺和本溪4城市可吸入颗粒物PM10、PM2.5、PM1及同步气象因子的监测资料，分析了可吸入颗粒物分布特征、污染水平及其与气象因子的关系。结果表明：受区域天气系统的影响，4城市PM10和PM2.5的日平均浓度变化趋势基本一致，具有区域分布特征；PM10超标率冬季为最高；PM2.5日平均浓度占PM10比例夏季和冬季最大；PM10、PM2.5和PM1之间有很好的相关性；PM10与风速、温度呈负相关，PM2.5和PM1与能见度、风速、温度呈负相关，与相对湿度成正相关。

关键词: 可吸入颗粒物, 平均浓度, 污染特征, 辽宁中部城市群

Abstract:

Based on the inhalable particles data of PM10, PM2.5 and PM1 from August 2006 to October 2007 in Shenyang, Anshan, Fushun and Benxi and the relevant meteorological data, the distributions and pollution characteristics of inhalable particles as well as the relationship with meteorological factors were analyzed. The results show that the changes trends of the daily mean concentration of PM10 and PM2.5 in four cities are similar because they are affected by the regional synoptic system. And these changes are of the regional distribution characteristics. The exceeding standard ratio of PM10 is highest in winter. The ratio of the daily mean concentration of PM2.5 and PM10 is largest in summer and winter. The correlations are better among PM10, PM2.5 and PM1. The relationship between PM10 and wind speed as well as air temperature is negative. PM2.5 and PM1 with visibility, wind speed and air temperature is the negative correlations, while they are the positive correlation with relative humidity.

中图分类号:

X513

马雁军,王江山,王扬锋,刘宁微,洪也. 辽宁中部城市群可吸入颗粒物PM10和PM2.5的污染特征研究[J]. 气象与环境学报, doi: .

MA Yan-jun; WANG Jiang-shan; WANG Yang-feng; LIU Ning-wei;HONG Ye. Pollution characteristics of inhalable particles PM10 and PM2.5 in the city group of middle Liaoning province[J]. Journal of Meteorology and Environment, doi: .

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http://www.jme1984.net.cn/CN/Y2008/V24/I5/11

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