摘要
对宁波市2010-2017年的PM2.5开展月度指数分析和相关性分析。结果显示,宁波市12月份的PM2.5月度指数最高,8月份最低,PM2.5与重要的二次颗粒物O3之间存在显著的负相关(p<0.05)。针对与PM2.5相关的气象条件,展开定性和定量分析,利用岭回归建立PM2.5与风向、风速等气象条件的偏回归模型,西南偏南风(ESS)对宁波市PM2.5浓度升高有促进作用,东北风(EN)对宁波市PM2.5浓度提升最大(p<=0.05)。
This paper analyzes the monthly index and correlation analysis of PM2.5 in Ningbo City from 2010 to 2017.The results showed that the monthly index of PM2.5 in Ningbo was the highest in December and the lowest in August.There was a significant negative correlation between PM2.5 and important secondary particulate matter O3(p<0.05).According to the meteorological conditions related to PM2.5,qualitative and quantitative analysis was carried out,and the partial regression model of PM2.5 and wind direction,wind speed and other meteorological conditions was established by using ridge regression.The southwest southerly wind(ESS)increased the concentration of PM2.5 in Ningbo.Highly promoted,northeast wind(EN)increased the maximum concentration of PM2.5 in Ningbo(p<=0.05).
作者
陆星家
Lu Xingjia(School of Science,Ningbo University of Technology,Ningbo 315211,China)
出处
《中国资源综合利用》
2018年第8期155-158,共4页
China Resources Comprehensive Utilization
基金
浙江省哲学社会科学规划基金项目(项目编号:15NDJC077YB)
浙江省公益技术应用研究计划项目(项目编号:2015C31154)的阶段性研究成果之一
关键词
大气
PM2.5
风向
风速
岭回归
atmosphere
PM2.5
wind direction
wind speed
ridge regression
