长江三角洲地区污染物输送对南京臭氧影响的定量分析  

Quantitative analysis of the impact of pollutant transport on ozone levels in Nanjing within the Yangtze River Delta Region

作　　者：龚康佳 李琳 史之浩 谢晓栋 胡建林 GONG Kangjia;LI Lin;SHI Zhihao;XIE Xiaodong;HU Jianlin(Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control/Collaborative Innovation Center of Atmospheric Environment and Equipment Technology/School of Environmental Science and Engineering,Nanjing University of Information Science&Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学江苏省大气环境监测与污染控制高技术研究重点实验室/大气环境与装备技术协同创新中心/环境科学与工程学院,江苏南京210044

出　　处：《大气科学学报》2023年第5期703-712,共10页Transactions of Atmospheric Sciences

基　　金：国家自然科学基金资助项目(2081072201501)。

摘　　要：近年来南京O_(3)污染逐渐加剧,为了了解本地及周边城市排放对南京O_(3)的影响,本研究利用源导向的WRF/CMAQ区域空气质量模型对长三角2018年3—10月O_(3)污染季节的空气质量进行了模拟。通过追踪长三角41个城市的排放,探究了长三角地区对南京O_(3)的传输特征以及不同风向下的来源贡献。结果表明:研究期间南京O_(3)非污染日和污染日的本地贡献差异不大,分别为56.8%和49.5%;而污染发生时周边城市对南京O_(3)的贡献由36.4%增加至46.3%,长三角以外地区的贡献由6.8%减少至4.7%。;南京O_(3)污染日江苏省内对其贡献占73.1%,而浙江省、安徽省和上海市分别贡献了10.8%、10.5%和0.95%。污染期间南京本地分别由NO x和VOCs作为前体物生成O_(3)(分别记为O_(3)N和O_(3)V)的贡献比率约为7∶13,说明南京本地VOCs对O_(3)生成贡献较大。污染日期间东南风和东北风占比分别为38.0%和35.9%,当主导风向为东北风时,上风向城市扬州对其贡献达13.6%;主导风向为东南风时,上风向城市常州(7.3%)、镇江(7.0%)和无锡(6.5%)对南京O_(3)的贡献较大。因此,南京O_(3)污染控制应考虑根据不同风向对上风向城市群的区域联防联控控制策略。In recent years,the intensification of O_(3) pollution in Nanjing has raised concerns.To understand the influence of neighboring cities on O_(3) levels in Nanjing,we used the source-oriented WRF/CMAQ regional air quality model to simulate air quality within the Yangtze River Delta(YRD)from March to October 2018.By tracking emissions from 41 cities within and outside the YRD,we conducted an analysis of O_(3) transport characteristics in Nanjing under different wind conditions.Our findings reveal during March to October 2018,Nanjing contributed 56.8%of local O_(3) on polluted days and 49.5%on non-polluted days.When pollution episodes occurred,contributions from surrounding cities to Nanjing increased from 36.4%to 46.3%,whereas contribution from areas outside the YRD decreased from 6.8%to 4.7%.On a daily basis,Nanjing accounted for over 70%of local O_(3) contributions during daytime hours,while at night,the majority of transport contributions originated from surrounding cities and areas outside the YRD(exceeding 95%).On days with O_(3) pollution,contributions from Jiangsu Province constituted 73.1%,with 10.8%from Zhejiang Province,10.5%from Anhui Province,and 0.95%from Shanghai.During pollution periods,the ratio of O_(3)(O_(3)N)produced by NO x as a precursor to O_(3)(O_(3)V)produced by VOCs as a precursor in Nanjing was approximately 7∶13.Among all pollution episodes,southeast and northeast winds accounted for 38.0%and 35.9%respectively,with the dominant wind direction being northeast,resulting in the highest concentration of non-background O_(3) in Nanjing.During periods of southeast winds,upwind areas such as Changzhou(7.3%),Zhenjiang(7.0%),and Wuxi(6.5%)contributed significantly O_(3) levels in Nanjing.Therefore,strategies for controlling O_(3) pollution in Nanjing should take into account pollutant transport from upwind cities.

关 键 词：O_(3) 南京 区域输送 源导向模式 

分 类 号：X169[环境科学与工程—环境科学] X515