摘要
选取兰州市城区4个环境空气质量国控站点2018—2019年的监测数据和兰州市气象站同期的观测资料,分析了兰州市O_(3)浓度的时空分布特征,并探讨了气象因素和相关污染物对ρ(O_(3)-8 h)的影响。结果表明:1)兰州市城区各站点ρ(O_(3)-8 h)的月变化和ρ(O_(3))小时值的日变化均呈单峰型,ρ(O_(3)-8 h)高值出现在4—8月,ρ(O_(3))小时峰值出现在15∶00左右;2)相关污染物与ρ(O_(3)-8 h)均呈负相关,ρ(O_(3)-8 h)随ρ(NO_(2))、ρ(CO)、ρ(PM2.5)的增加而降低;3)高温、低湿的环境有利于兰州市城区O_(3)的生成,而特殊的地形条件导致在一定风速下,O_(3)更容易积累;4)分别建立了相关污染物和气象因子的多元线性回归方程,发现在当前气象条件和相关污染物排放现状下,气象因子对兰州市O_(3)的影响比相关污染物的影响更为重要。
This paper investigated temporal and spatial variations of ozone concentration in Lanzhou from 2018 to 2019 and further the effects of meteorological factors and the related pollutants on O_(3)-8 h were discussed based on the dataset of observation from the meteorological stations and four air monitoring stations in Lanzhou.The results indicated that:1)The monthly concentration variation of O_(3)-8 h showed a single peak trend in all stations in Lanzhou.The high value appeared from April to August and the low value appeared in winter.The diurnal distribution of O_(3) concentration showed a single peak pattern,and the highest concentration appeared at about 15∶00.2)Relevant pollutants had a negative correlation with O_(3)-8 h,which showed that the concentration of O_(3)-8 h decreased with the increase of NO_(2),CO and PM2.5.3)High temperature and low humidity were conducive to the formation of O_(3) in Lanzhou,while the special topographic conditions led to the accumulation of ozone more easily under a certain wind speed.4)By establishing regression equations of multiple linear of related pollutants and meteorological factors,the effects of related pollutants and meteorological factors on O_(3)-8 h concentration were studied.The results showed that the influence of meteorological factors on the concentration of O_(3) in Lanzhou was more important than that of the related pollutants under the current meteorological conditions and related pollutants emission status.
作者
孔祥如
陈敏
陈恒蕤
潘峰
庞可
马彩云
张芊
KONG Xiangru;CHEN Min;CHEN Hengrui;PAN Feng;PANG Ke;MA Caiyun;ZHANG Qian(College of Atmospheric Sciences,Lanzhou University,Lanzhou 730000,China)
出处
《环境工程》
CAS
CSCD
北大核心
2022年第7期69-75,152,共8页
Environmental Engineering
基金
甘肃省科技计划项目(18JR2RA005)。
关键词
O3浓度变化特征
气象要素
相关性
variation characteristics of O3 concentration
meteorological parameter
correlation
