摘要
受前体物排放和气象因素变化的综合作用,臭氧污染时空特征呈现出明显的演变态势.本文利用2013-2021年广东省国控站监测数据,结合观测长时间趋势分析和机器学习等多种手段,分析了珠三角地区臭氧污染的季节特征演变、季节特征演变的空间差异以及导致其季节演变的原因.结果显示,2013-2021年珠三角地区臭氧污染呈明显的上升态势,其MDA8年平均浓度每年平均上升1.80μg·m^(-3).秋季是珠三角臭氧污染的频发季节,但不同季节臭氧上升态势存在差异,其中春季臭氧上升趋势最明显(3.1μg·m^(-3)),冬季(2.4μg·m^(-3))和秋季(2.1μg·m^(-3))其次,夏季最低(0.98μg·m^(-3)),使得珠三角臭氧污染有向春冬两季扩散蔓延的趋势.不合理的NO_(x)/VOCs减排是导致珠三角臭氧整体往春冬延伸的主导因素.呈现出明显春冬延伸特征的站点多处于珠三角腹部地区,在秋、冬、春季节,珠三角腹部地区多为VOCs控制区.进一步分析还显示,ΔO_(3)/ΔNO_(2)与臭氧上升趋势呈现显著的负相关,表明VOCs控制区越强烈的地区,秋、冬、春季臭氧上升趋势越明显.部分站点的臭氧污染向春冬蔓延扩散并不明显,这些站点大多处于沿海地区,其臭氧形成相比腹部地区站点更容易受到气象条件变化的影响.
The evolution of ozone pollution is evident as a result of the combined effects of precursor emissions and meteorological changes.In this study,the evolution of seasonal characteristics of ozone pollution in the Pearl River Delta(PRD)region,as well as its causes,were examined using the long-term trend analysis of national monitoring data from 2013 to2021,and machine learning.From 2013 to 2021,ozone pollution in the PRD region increased significantly,with the annual average concentration of MDA8 increasing by 1.80μg·m^(-3).Autumn is the season with highest ozone pollution in the PRD region.However,the increasing tendency of ozone was peaks in spring(3.1μg·m^(-3)),followed by winter(2.4μg·m^(-3)),autumn(2.1μg·m^(-3)),and summer(0.98μg·m^(-3)),causing ozone pollution in the PRD region to spread to spring and winter.The inappropriate reduction ratio of NOx/VOCs emission was the dominant contributor to the extension of ozone towards spring and winter.Most of the sites with strong spring-winter extension characteristics are in the central area of the PRD region,and these sites are almost in VOCs limited regime in autumn,winter and spring.Further analysis revealed that the ΔO_(3)/ΔNO_(2) ratio was negatively related to the ozone increasing trend,indicating that the ozone increasing trend was more obvious in areas with stronger VOCs limited regime.The spring-winter extension characteristic was not obvious at some sites.Most of these sites are on the coast,and their ozone formation is more sensitive to changes in meteorological conditions than those in the central area of PRD.
作者
袁鑫
黄志炯
陆梦华
贾光林
段嘉浩
沈劲
钟庄敏
陈多宏
郑君瑜
YUAN Xin;HUANG Zhijiong;LU Menghua;JIA Guanglin;DUAN Jiahao;SHEN Jin;ZHONG Zhuangmin;CHEN Duohong;ZHENG Junyu(Institute of Environment and Climate,Jinan University,Guangzhou 511486;State Environmental Key Laboratory of Regional Air Quality Monitoring,Guangdong Environmental Protection Key Laboratory of Secondary Air Pollution Research,Guangdong Ecological Environment Monitoring Center,Guangzhou 510308;School of Petroleum Engineering and Environmental Engineering,Yan'an University,Yan'an 716000;School of Environment and Energy,South China University of Technology,Guangzhou 510006)
出处
《环境科学学报》
CAS
CSCD
北大核心
2023年第8期214-225,共12页
Acta Scientiae Circumstantiae
基金
国家自然科学基金重大研究计划集成项目(No.92044302)。
关键词
珠三角地区
臭氧
季节特征
机器学习
Pearl River Delta region
ozone
seasonal characteristics
machine learning
