摘要
以信阳市2015~2016年PM_(2.5)、PM_(10)监测数据和同期气象资料为基础,分析了其PM_(2.5)、PM_(10)污染特征及其与气象因子关系。结果表明:PM_(2.5)、PM_(10)月均质量浓度呈"单峰单谷"变换趋势,不同季节质量浓度差异显著,均表现为冬季>春季、秋季>夏季的季节动态;PM_(2.5)、PM_(10)质量浓度与气象因子关联度均较高,其质量浓度受多种气象因子共同影响;采用逐步回归法,建立了PM_(2.5)、PM_(10)质量浓度—气象因子最优回归方程,方程拟合度高,适用性强。
Based on the PM2.5,PM10 monitoring data and synoptic data of Xinyang City from 2015~2016,this paper analyzed the characteristics of PM2.5 and PM10 pollution and the relationship with the Meteorological factor.The results show that:The seasonal variation of PM2.5 and PM10 were significant.The results showed that the seasonal variation of PM2.5 and PM10 was significant in spring and autumn.The season dynamics is winter>spring,autumn>summer season dynamics.PM2.5 and PM10 mass concentration and meteorological factors are high degree of correlation.The concentration of the mass was affected by a variety of meteorological factors.The stepwise regression method was used to establish the optimal regression equation of PM2.5,PM10 mass concentration meteorological factor.The equation has high fitting degree and strong applicability.
作者
张建设
冯万富
单燕祥
柳勇
史晓海
李月凤
Jiang Ming;Huang Jianzhang;Zhang Tao;He Haijing;Zhao Yan;Yue Dingli(Guangdong Environmental Monitoring Center,Guangzhou ,Guangdong510308,China;Sun Yat-sen University,Guangzhou,Guangdong 510275,China)
出处
《绿色科技》
2018年第22期5-7,共3页
Journal of Green Science and Technology
基金
国家林业公益性行业科研专项(编号:20130430101)
河南省科技攻关计划项目(编号:172102310561)
信阳市科技计划项目(编号:150088)