北京不同类型城市森林中PM_(2.5)与O_(3)的关联性分析  

Correlation Analysis of PM_(2.5) and O_(3) in Different Types of Urban Forests in Beijing

作　　者：李少宁[1,2,3] 于迪 时聪 赵娜 徐晓天 鲁绍伟 LI Shaoning;YU Di;SHI Cong;ZHAO Na;XU Xiaotian;LU Shaowei(Institute of Forestry and Fruit Trees,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100093,China;Beijing Yanshan Forest Ecosystem National Station,National Forestry and Grassland Administration,Beijing 100093,China;Shenyang Agricultural University,Shenyang 110866,China)

机构地区：[1]北京市农林科学院林业果树研究所,北京100093 [2]国家林业和草原局,北京燕山森林生态系统国家定位观测研究站,北京100093 [3]沈阳农业大学,辽宁沈阳110866

出　　处：《环境科学研究》2024年第3期536-544,共9页Research of Environmental Sciences

基　　金：国家自然科学基金面上项目(No.32071834,32171844);北京市农林科学院创新能力建设项目(No.KJCX20230602)。

摘　　要：大气污染的协同治理是实现经济社会高质量发展,加快生态文明建设的重要途径.PM_(2.5)和臭氧的协同治理是我国“十四五”时期大气污染防治的要求,探究北京市城市森林不同类型林内PM_(2.5)与臭氧的相关性对北京市大气污染的防治具有重要意义.本文利用北京市3个城市森林生态环境监测站测得的PM_(2.5)、O_(3)浓度数据,系统分析不同类型城市森林PM_(2.5)与O_(3)浓度相关性的差异.结果表明:①春季,中心城区、近郊湿地区、近郊浅山区森林中PM_(2.5)与O_(3)浓度呈负相关,中心城区相关性最强(r=0.178,p<0.01);夏季各区域PM_(2.5)与O_(3)浓度均呈正相关,近郊湿地区相关性最强(r=0.095,p<0.01);秋季各区域PM_(2.5)与O_(3)浓度均呈负相关,近郊浅山林区负相关性最强(r=−0.428,p<0.01);冬季近郊湿地区PM_(2.5)与O_(3)浓度呈显著正相关(r=0.061,p<0.05),但中心城区和近郊浅山林区均呈负相关.②工作日期间夜间近郊浅山林区PM_(2.5)与O_(3)浓度相关性相对较强(r=−0.147,p=0.01),其余时间中心城区相关性相对较强,相关系数在−0.14上下波动,周末期间除夜间外,近郊湿地区相关程度相对较强,相关系数在−0.08上下波动.③当PM_(2.5)浓度≤50μg/m^(3)或O_(3)浓度>50μg/m^(3)时,PM_(2.5)与O_(3)浓度呈正相关;PM_(2.5)浓度处于50~200μg/m^(3)之间或O_(3)浓度≤50μg/m^(3)时,二者负相关性相对较强.研究显示,北京市城市森林中PM_(2.5)与O_(3)相关性在季节、不同区域昼夜尺度上有所差异,且林内各区域PM_(2.5)和O_(3)浓度总体呈负相关,表明PM_(2.5)与O_(3)的相互关系受环境背景浓度值、气象要素、人类活动等多因素共同影响.Coordinated control of air pollution is an important way to achieve high-quality economic and social development and accelerate the construction of an ecological civilization.Collaborative control of PM_(2.5)and ozone is the requirement for air pollution control in China's‘14th Five-Year Plan’period.It is of great significance to explore the correlation between PM_(2.5)and ozone in different types of urban forests in Beijing.In this article,the concentration data for PM_(2.5)and ozone measured by three urban forest ecological environment monitoring stations in Beijing were used to systematically analyze the differences in the correlation between the concentrations of PM_(2.5)and O_(3)in different types of urban forests.The results showed as follows:(1)In spring,there was a negative correlation between PM_(2.5)and O_(3)concentration in the central urban area,the suburban wet area and the suburban shallow mountain forest,and the correlation was strongest in the central urban area(r=0.178,p<0.01);There was a positive correlation between PM_(2.5)and O_(3)concentration in all regions in summer,and the correlation was strongest in the suburban wet areas(r=0.095,p<0.01).PM_(2.5)and O_(3)concentrations were negatively correlated in all regions in the fall,and the strongest negative correlation was found in the shallow suburban mountain forest(r=−0.428,p<0.01).In winter,there was a significant positive correlation between PM_(2.5)and O_(3)concentration in suburban wet areas(r=0.061,p<0.05),but there was a negative correlation between the concentration of PM_(2.5)and O_(3)in the central urban area and the shallow mountain forest area in the suburbs.(2)During weekdays,there is a relatively strong correlation(r=−0.147,p=0.01)between PM_(2.5)and O_(3)concentrations in the suburban Shanshan forest area at night.In the central urban area during other times,the correlation coefficient remains consistently strong around−0.14.On weekends,except for nighttime,there is a relatively strong correlation observed in suburban w

关 键 词：城市森林 PM_(2.5) 臭氧(O_(3)) 相关性 北京市 

分 类 号：X515[环境科学与工程—环境工程]