兰州市主城区2015~2020年近地面臭氧污染特征  

Characteristics of near surface ozone pollution in the main urban area of Lanzhou from 2015 to 2020

作　　者：程慧波 李晓红 杨帆 沈洁[2] CHENG Huibo;LI Xiaohong;YANG Fan;SHEN Jie(Gansu Province Environmental Monitoring Center,Lanzhou 730000,China;School of Nuclear Science and Technology,Lanzhou University,Lanzhou 730000,China)

机构地区：[1]甘肃省环境监测中心站,甘肃兰州730000 [2]兰州大学核科学与技术学院,甘肃兰州730000

出　　处：《甘肃农业大学学报》2023年第3期153-159,共7页Journal of Gansu Agricultural University

基　　金：国家自然科学基金青年基金项目(21603090);甘肃省青年科技基金项目(18JR3RA022);甘肃省自然科学基金项目(21JR7RA690)。

摘　　要：【目的】研究兰州市主城区近地面臭氧(O_(3))污染特征。【方法】基于2015~2020年兰州市主城区4个环境空气质量监测点近地面O_(3)以及NO_(x)、CO、SO_(2)、NO_(2)、PM_(2.5)、PM_(10)监测数据,运用反距离空间分析法和对数线性模型开展研究。【结果】2015~2020年兰州市主城区O_(3)年均浓度值从2015年的46.62μg/m^(3)上升至2020年的62.49μg/m^(3),O_(3)月平均浓度值高值出现在夏季。O_(3)同大气污染因子之间存在负相关关系,O_(3)月均值和不同污染因子月均值之间的负相关系数为NO_(x)(0.7067)>CO(0.6646)>SO_(2)(0.6527)>NO_(2)(0.5733)>PM_(2.5)(0.5685)>PM_(10)(0.2083)。PM_(2.5)和NO_(x)与O_(3)小时浓度值在不同季节的相关性变化趋势一致。【结论】O_(3)的空间分布呈现出了“孤岛状”“片状”“面状”的分布特征,O_(3)在整个主城区的分布呈现出污染加剧的趋势。【Objective】The characteristics of near-surface ozone(O_(3))pollution in the main urban area of Lanzhou were studied.【Method】Based on the monitoring data(O_(3),NO_(x),CO,SO_(2),NO_(2),PM_(2.5),PM_(10))from four ground-level air quality monitoring points in the main urban area of Lanzhou from 2015 to 2020,the research is conducted by using inverse distance space analysis method and logarithmic linear model.【Result】From 2015 to 2020,the annual average concentration of O_(3)in the main urban area of Lanzhou increased from 46.62μg/m^(3)in 2015 increased to 62.49μg/m^(3)in 2020,the high value of monthly average concentration of O_(3)occurs in summer.There is a negative correlation between O_(3)and air pollution factors.The negative correlation coefficient between the monthly mean value of O_(3)and the monthly mean value of different pollutants is NO_(x)(0.7067)>CO(0.6646)>SO_(2)(0.6527)>NO_(2)(0.5733)>PM_(2.5)(0.5685)>PM_(10)(0.2083).The hourly concentration values of NO_(x),PM_(2.5)and O_(3)have the same trend in different seasons.【Conclusion】The spatial distribution of O_(3)shows the distribution characteristics of"island","sheet"and"surface".The distribution of O_(3)in the whole metropolitan area shows the trend of increasing pollution.

关 键 词：兰州市主城区 O_(3) 反距离空间插值 污染特征 对数线性模型 

分 类 号：X823[环境科学与工程—环境工程]