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宁波市区秋冬季PM2.5质量浓度特征及影响因素分析

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该研究基于2013年11-12月的宁波市空气质量监测数据和气象资料数据,分析了PM2.5质量浓度变化特征,探讨了PM2.5与其它粒径颗粒物、气体污染物以及多个气象因子之间的相关性及影响规律,构建了包含气象和污染气体因子的逐步回归模型,综合分析了2类因子对宁波市PM2.5浓度的影响.研究结果表明:(1)研究时间段内的宁波PM2.5质量浓度范围为(100.66±72.98) μg/m3,超过粗颗粒PM2.5-10的质量浓度,是可吸入颗粒物的主要组成部分.(2)PM2.5与3种污染气体均表现出显著的相关性,其中与CO的质量浓度相关性最高,R=0.85.风速与PM25呈现负相关,受西北-北风向影响下的PM2.5浓度要明显高出其它风向影响下的浓度.降水对PM2.5影响显著,降水日的PM2.5平均质量浓度随降水强度呈现幂函数递减,为非降水日的48.4%.非降水日的PM2.5浓度与相对湿度显著正相关,与日照时数显著负相关.(3)逐步回归结果表明,气象和污染气体两类因子能够解释PM2.5浓度82.4%的变异.其中,CO是影响宁波市秋冬季PM2.5浓度的首要显著因子.本研究对明确城市PM2.5污染特征和影响因素具有参考价值和意义.
Study on PM2.5 Concentration during Autumn and Winter Seasons in Ningbo City : Characteristics and Affecting Factors
The dynamic characters of PM2.5 mass concentration were analyzed using air quality monitoring and meteorology observation data.The correlations between PM2.5 and other affecting factors, e.g.gas pollutions and meteorology factors, were discussed.A stepwise regression model, thereafter, was built to reveal the impacts of those factors on PM2.5 concentrations.The results of the analysis showed that the mass concentration of PM2.5 in Ningbo was(100.66±72.98) μg/m3 during the study period, which exceeded that of particulates ranging from PM2.5 to PM10.Significant correlations existed between PM2.5 concentration and main air pollutants (NO2, SO4 and CO), of which CO was the highest correlated, and also a significant negative correlation between wind speed and PM2.5 concentration, a significant negative correlation between rainfall and the PM2.5 concentration;besides, PM2.5 was positively correlated with relative humidity, but negatively with sunshine duration.The results of stepwise regression showed that air pollutants and meteorology factors could explain 82.4% of the variations of PM2.5 concentration, among others, CO was the major contributor to PM2.5 concentration rising during the autumn and winter seasons in Ningbo.

PM2.5meteorological factorgas pollutantNingbostepwise regression

赵颜创、旷达、赵小锋

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中国科学院城市环境与健康重点实验室,中国科学院城市环境研究所,福建厦门361021

中国科学院宁波城市环境观测研究站,浙江宁波315800

PM2.5 气象因子 污染气体 宁波 逐步回归

中国科学院战略性先导科技专项(B类宁波市自然科学基金

XDB050602002013A610180

2015

环境科学与技术
湖北省环境科学研究院

环境科学与技术

CSTPCDCSCD北大核心
影响因子:0.943
ISSN:1003-6504
年,卷(期):2015.38(12)
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