长三角地区2004-2022年NO_(2)柱浓度演变特征及其主要影响因素分析  

Temporal Evolution and Influencing Factors of NO_(2) Column Density in the Yangtze River Delta Region From 2004 to 2022

作　　者：沈利娟 刁一伟 贾浩博 王红磊[3] 施双双 赵天良[3] SHEN Lijuan;DIAO Yiwei;JIA Haobo;WANG Honglei;SHI Shuangshuang;ZHAO Tianliang(School of Atmosphere and Remote Sensing,Wuxi University,Wuxi 214105,China;Key Laboratory of Ecosystem Carbon Source and Sink,China Meteorological Administration,Wuxi University,Wuxi 214105,China;China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory,Nanjing University of Information Science and Technology,Nanjing 210044,China)

机构地区：[1]无锡学院大气与遥感学院,江苏无锡214105 [2]无锡学院,中国气象局生态系统碳源汇重点开放实验室,江苏无锡214105 [3]南京信息工程大学,中国气象局气溶胶-云-降水重点开放实验室,江苏南京210044

出　　处：《环境科学研究》2024年第5期950-962,共13页Research of Environmental Sciences

基　　金：无锡学院引进人才科研启动专项经费(No.2023r035);国家自然科学基金项目(No.42275196);江苏省自然科学基金项目(No.BK20231300)。

摘　　要：为研究长三角地区NO_(2)柱浓度长期的时间演变特征及其影响因素,利用OMI卫星观测的NO_(2)柱浓度数据、GPM降雨数据、MERRA-2再分析数据和社会经济数据,结合地面NO_(2)浓度数据,分析了卫星数据与地面观测数据的一致性以及NO_(2)柱浓度的年际、月际和季节性变化特征及其主要影响因素.结果表明:①OMI卫星观测的NO_(2)柱浓度与地面观测的NO_(2)浓度一致性较好,能够较好地反映地面NO_(2)浓度分布及其时间变化特征.②长三角地区2004-2022年NO_(2)柱浓度高值主要集中在南京、常州、无锡、苏州、上海和杭州等核心城市地区;NO_(2)柱浓度年际变化呈波动变化趋势,可分为2个阶段,2004-2011年为增加阶段,年均变化率为0.68%,2011-2022年为降低阶段,年均变化率为-4.51%.2011年NO_(2)柱浓度达最大值〔(12.63×10^(15)±9.16×10^(15))molec/cm^(2)〕,2022年达到最小值,仅为(7.16×10^(15)±4.80×10^(15))molec/cm^(2).③受气象条件和排放源的影响,导致NO_(2)柱浓度存在明显的月际和季节性变化,呈冬季>春季≈秋季>夏季的特征,其中12月〔(20.20×10^(15)±8.89×10^(15))molec/cm^(2)〕最高,7月〔(4.81×10^(15)±1.72×10^(15))molec/cm^(2)〕最低.④长三角地区NO_(2)柱浓度的长期演变特征受社会经济因素的影响.第二产业中的燃煤源和第三产业中交通运输对NO_(2)柱浓度的影响较大,机动车排放是长三角地区核心城市群对流层NO_(2)的重要来源.研究显示,2004-2022年随着一系列大气污染防治措施的执行,长三角地区在经济快速发展的同时NO_(2)柱浓度持续降低,充分证明了经济发展与环境保护可以实现良性互动.To study the long-term temporal evolution characteristics and influencing factors of NO_(2) column density in the Yangtze River Delta region(YRD),OMI NO_(2) column density data,GPM precipitation data,MERRA-2 reanalysis data and socioeconomic data are used in this paper.Combined with the ground-observed NO_(2) mass concentration,the interannual,monthly and seasonal variations in NO_(2) column density and the main influencing factors are analyzed,as well as the consistency of satellite and ground observational data.The results show that:(1)The OMI NO_(2) column density is consistent with the ground-observed NO_(2) mass concentration and can well reflect the temporal distribution of ground NO_(2) concentration.(2)High NO_(2) column densities in the YRD region averaged from 2004 to 2022 are mainly concentrated in core urban agglomerations such as Nanjing,Changzhou,Wuxi,Suzhou,Shanghai and Hangzhou.The interannual variations in NO_(2) column density fluctuate,showing an increasing trend from 2004 to 2011,with an annual change rate of 0.68%,and a downward trend from 2011 to 2022,with an annual change rate of-4.51%.The maximum NO_(2) column density in 2011 was(12.63×10^(15)±9.16×10^(15))molec/cm^(2),and the minimum value in 2022 dropped to(7.16×10^(15)±4.80×10^(15))molec/cm^(2).(3)Due to differences in meteorological conditions,there are obvious monthly and seasonal variations in NO_(2) column density.The seasonal distribution of NO_(2) column density is winter>spring≈autumn>summer,with the highest value being(20.20×10^(15)±8.89×10^(15))molec/cm^(2) in December and the lowest being(4.81×10^(15)±1.72×10^(15))molec/cm^(2) in July.(4)The long-term evolution of NO_(2) column density in the YRD is largely affected by socioeconomic factors.Coal-burning emissions from the secondary industry and transportation from the tertiary industry have greater impacts on NO_(2) column density.In addition,vehicle exhaust emissions are an important source of tropospheric NO_(2) in the core urban agglomeration of the YRD region

关 键 词：长三角地区 NO_(2)柱浓度 时间演变 影响因素 社会经济因素 

分 类 号：X51[环境科学与工程—环境工程]