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济南市区黑碳污染变化特征及来源解析OA北大核心CSTPCD

Characteristics and Source Analysis of Black Carbon Pollution Changes in Ji'nan City

中文摘要英文摘要

黑碳(BC)作为细颗粒物(PM2.5)的重要来源之一,探究其变化特征及来源对PM2.5管控具有指导意义.为了研究济南市区大气黑碳颗粒物污染变化特征及来源,于 2020 年 1 月-2021 年 12 月在济南市区选择市中心站(1#)利用Magee公司AE33 型黑碳仪对黑碳浓度展开了在线连续观测,还开展了PM2.5、氮氧化物(NOx)、一氧化碳(CO)质量浓度的同步在线观测,获得了市区黑碳浓度变化特征,探究了BC与主要大气污染物的关系,并结合省中心站(2#)BC监测,定量解析了济南市区BC排放来源的日变化特征,同时选取典型污染过程研究不同排放源黑碳的传输影响.结果表明,整个观测时段1#BC平均质量浓度为(1.86±1.21)μg·m-3,BC与PM2.5 和CO呈正相关关系.BC质量浓度呈现明显的年、季节、周和日变化特征,2021 年BC较 2020 年下降约 0.28 μg·m-3,下降比例为 14%,BC质量浓度春(1.47±0.51)μg·m-3<夏(1.60±0.43)μg·m-3<秋(1.99±0.77)μg·m-3<冬(2.48±1.17)μg·m-3;BC受交通早晚高峰的影响呈现双峰型日变化特征,春夏季周末浓度高于工作日,具有比较明显的"周末效应".源解析结果表明,交通排放为BC主要来源,2020 年和 2021 年BC交通源贡献均值占比(BCtraffic/BC)夏(0.81)>秋(0.79)>春(0.76)>冬(0.67),不同季节BCtraffic日变化特征也证实了交通源对BC贡献占主导作用,2#省中心站与1#市中心站变化相似,但受交通流量与工业源影响BC浓度通常高于1#市中心站,典型PM2.5污染期间BC除受近距离局地排放源影响外,还有济南北部、德州市和河北衡水市传输影响.风场对BCtraffic和BCnontraffic浓度的影响显示该站点以周边源排放为主,BCtraffic受西南方向的旅游路隧道及东北方向舜华路等交通繁忙路段排放影响明显.

Black Carbon(BC)is a significant contributor to fine particulate matter(PM2.5)pollution,necessitating thorough investigation into its variation characteristics and sources for effective PM2.5 control.We used a Magee Aethalometer AE33 to conduct online continuous observations of BC concentration at the central station(1#)in the urban area of Jinan,from January 2020 to December 2021,to study the characteristics and sources of atmospheric BC particulate pollution.Synchronous online observations of PM2.5,nitrogen oxides(NOx),and carbon monoxide(CO)mass concentrations were also undertaken to obtain the characteristics of BC concentration changes in the urban area,explore the relationship between BC and major atmospheric pollutants,and quantitatively analyze daily variation of BC emission sources in the urban area of Jinan,based on BC monitoring at the provincial central station(2#).Additionally,typical pollution process was selected to study the transport effects of BC from different emission sources.Average BC mass concentration at 1#was(1.86±1.21)μg·m-3,exhibiting positive correlations with PM2.5 and CO.BC concentration showed distinct annual,seasonal,daily,and weekly variations,with a 14%decrease observed in 2021 compared to 2020.The BC mass concentrations were lowest in spring(1.47±0.51)μg·m-3,followed by summer(1.60±0.43)μg·m-3,autumn(1.99±0.77)μg·m-3,and winter(2.48±1.17)μg·m-3.The BC was affected by the morning and evening rush hours of traffic,showing a double-peak in daily concentrations.The concentration was higher on weekends than weekdays in spring and summer,with an apparent"weekend effect".Source analysis results showed that traffic emissions were the main source of BC.The average proportion of BC traffic sources(BCtraffic/BC)in 2020 and 2021 was highest in summer(0.81),followed by autumn(0.79),spring(0.76),and winter(0.67).Patterns of daily variation of BCtraffic in different seasons also confirmed that traffic played a dominant role as a source of BC.The changes of 2#station were similar to those of 1#station,but the BC concentrations were usually higher than that of 1#station due to the influence of traffic flow and industrial sources.During typical PM2.5 pollution periods,BC was affected not only by local emission sources,but also by transportation impacts from northern Jinan,Dezhou City,and Hengshui City in Hebei Province.The influence of wind fields on BCtraffic and BCnontraffic concentrations showed that the surrounding sources were the main emission sources at this site.BCtraffic was significantly affected by emissions from busy road sections,including the tourist road tunnel in the southwest direction and the Shunhua Road in the northeast direction.

张淼;王桂霞;王昌伟;贺艳云;许艳芳;李琪;许杨;张俊骁;张桂芹

山东省生态环境监测中心,山东 济南 250101北京迈特高科技术有限公司,北京 102299山东建筑大学市政与环境工程学院,山东 济南 250101

环境科学

黑碳(BC)时空变化特征BC/PM2.5来源解析浓度权重轨迹分析潜在源贡献因子分析

black carbon(BC)spatiotemporal variation characteristicsBC/PM2.5source apportionmentconcentration-weighted trajectory analysispotential source contribution factors

《生态环境学报》 2024 (004)

560-572 / 13

山东省自然科学基金重大基础研究项目(ZR2020ZD21);山东省自然科学基金面上项目(ZR2021MD013)

10.16258/j.cnki.1674-5906.2024.04.007

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