研究报告
马雁军,刘宁微,王扬锋,洪也,张云海,刘庆鹜.沈阳及周边城市大气细粒子的分布特征及其对空气质量的影响[J].环境科学学报,2011,31(6):1168-1174
沈阳及周边城市大气细粒子的分布特征及其对空气质量的影响
- Thedistribution characteristics of fine particles and their impact on air quality in Shenyang and surrounding areas
- 基金项目：2008公益性行业(气象)科研专项(No.GYHY20080620);国家自然科学基金(No.40575067)
- 作者
- 单位
- 马雁军
- 中国气象局沈阳大气环境研究所,沈阳 110016
- 刘宁微
- 中国气象局沈阳大气环境研究所,沈阳 110016
- 王扬锋
- 中国气象局沈阳大气环境研究所,沈阳 110016
- 洪也
- 中国气象局沈阳大气环境研究所,沈阳 110016
- 张云海
- 中国气象局沈阳大气环境研究所,沈阳 110016
- 刘庆鹜
- 中国气象局沈阳大气环境研究所,沈阳 110016
- 摘要：利用沈阳、鞍山、抚顺和本溪4城市2007—2009年大气细粒子PM2.5及大气污染物PM10、SO2、NO2的观测资料,分析了4城市大气细粒子的分布特征及其与空气质量的关系.结果表明:4城市大气细粒子PM2.5污染很重,年均浓度平均值超过美国大气细粒子PM2.5年均浓度标准4倍左右;4城市PM10、SO2的年均浓度呈下降趋势,NO2的年均浓度逐年增加;PM2.5、PM10、SO2和NO2具有明显的季节变化特征,冬季浓度值最大;4城市PM2.5与PM10的平均比值在65%~68%之间,夏季和冬季的比值最大,春季最小;4城市不同季节空气污染指数API值与大气细粒子的关系基本上都是多项式关系;不同季节大气细粒子与空气污染指数之间的相关关系显著,春季较其它三季的相关系数小一些;不同级别的空气质量其污染指数与大气细粒子之间的相关关系显著,空气质量为良时大气细粒子与污染指数之间的相关系数最大.
- Abstract：According to data of fine airborne particles PM2.5, PM10, SO2 and NO2 from 2007 to 2009 in Shenyang, Anshan, Fushun and Benxi, the distribution of the fine particles and their impact on air quality were analyzed. The results indicated that fine particle pollution in these cities is so serious that the yearly mean concentration has exceeded US yearly standard by about 4 times. In the 4 cities, the yearly mean concentrations of PM10 and SO2 decreased over the study period, but yearly mean concentration of NO2 increased. Moreover, the concentrations of PM2.5, PM10, SO2 and NO2 vary obviously with seasons. In winter, the concentrations are the highest and the mean ratio of PM2.5 and PM10 are from 65% to 68%. However, the ratio in summer or in winter is the highest and the ratio in spring is the smallest. The correlation between fine airborne particles and air pollution index (API) presents as a quadratic multinomial or cubic multinomial in any season in the 4 cities. The correlation of fine particles and API has an obvious correlation in different seasons, though the correlation of fine particles and API in spring is the worst. The correlation coefficient of atmospheric fine particles and API has obvious correlation with different grades of air quality in the 4 cities. The correlation between fine airborne particles and API is the best when air quality is fine.
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