引用本文:李洁,董晶晶,孙思思,陈新星,丁峰,曹阳.南京市城区和郊区PM2.5中碳质组分特征差异及来源分析[J].环境监控与预警,2024,(1):18-23
LI Jie, DONG Jingjing, SUN Sisi, CHEN Xinxing, DING Feng, CAO Yang.Pollution Characteristics and Source of Carbon Components in Fine Particulate Matter in Urban and Suburban Areas of Nanjing[J].Environmental Monitoring and Forewarning,2024,(1):18-23
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南京市城区和郊区PM2.5中碳质组分特征差异及来源分析
李洁,董晶晶,孙思思,陈新星,丁峰,曹阳
江苏省南京环境监测中心,江苏 南京 210013
摘要:
为比较南京市城区和郊区细颗粒物(PM2.5)中碳质组分特征及来源差异,利用碳组分在线监测仪器对2022年城区和郊区有机碳(OC)和元素碳(EC)进行连续监测。研究结果表明:(1)2022年南京市城区OC、EC质量浓度分别为(5.24±2.39),(1.27±0.62)μg/m3,郊区OC、EC质量浓度分别为(5.67±2.45),(1.32±0.70)μg/m3。2022年OC和EC质量浓度水平分别较2014—2018年均显著下降。城区和郊区的OC、EC质量浓度均呈现冬季高、夏季低的特点。从日变化特征看,城区和郊区OC和EC质量浓度均呈现白天低、夜间高的特点,并且具有明显的峰谷值。(2)城区和郊区OC、EC均在冬季呈现良好的相关性,显著高于春季和夏季。根据碳质组分与气态污染物的关系以及ρ(OC)/ρ(EC)分析结果,城区和郊区均存在二次污染,机动车和燃煤是城、郊区的主要污染源,机动车源对城区影响大于郊区,燃煤源对郊区影响大于城区。(3)污染源的直接排放对南京市OC的质量浓度水平影响较大,郊区二次有机碳(SOC)质量浓度高于城区。城区需要重点关注机动车排放,郊区需要与周边区域协同治理燃煤、生物质燃烧等方面的污染排放。
关键词:  碳质组分  城区  郊区  二次有机碳  来源分析  南京
DOI:DOI:10.3969/j.issn.1674-6732.2024.01.003
分类号:X513
基金项目:南京环保科技项目(201903);江苏省环境监测科研基金项目(2112)
Pollution Characteristics and Source of Carbon Components in Fine Particulate Matter in Urban and Suburban Areas of Nanjing
LI Jie, DONG Jingjing, SUN Sisi, CHEN Xinxing, DING Feng, CAO Yang
Nanjing Environmental Monitoring Center of Jiangsu Province, Nanjing, Jiangsu 210041, China
Abstract:
In order to compare the differences of characteristics and sources of carbon components aerosols in PM2.5 in Nanjing between urban and suburban areas, continuous monitoring of organic carbon (OC) and elemental carbon (EC) was conducted in the urban and suburban areas of Nanjing during year 2022 using carbon component online monitoring instruments. The results show that: (1) Concentrations of (OC) and (EC) in 2022 are (5.24±2.39) and (1.27±0.62) μg/m3 in urban areas, and (5.67±2.45) and (1.32±0.70) μg/m3 in suburban areas. Concentrations of (OC) and (EC) in 2022 are both significantly lower than those in 2014—2018. Concentrations are high in winter and low in summer in both urban and suburban areas. From the perspective of daily variation characteristics, both OC and EC at the two stations are low at daytime and high at nighttime and exhibit obvious peak valley values. (2) The correlation between OC and EC is high in winter, significantly higher than that in spring and summer. According to the relationship between carbon components and gaseous pollutants, as well as the ρ(OC)/ρ(EC) ratio analysis, there is secondary generation in both urban and suburban areas. Vehicles and coal are the main sources of pollutions in urban and suburban areas. The impact of vehicle sources on urban station is greater than that of suburban station, while the impact of coal sources on station is greater than that of urban station. (3) The direct emissions of pollution sources significantly affect the concentration level of OC in Nanjing, with the concentration of SOC in suburban areas being higher than that in urban areas. Urban areas should focus on motor vehicle emissions, while suburban areas need to collaborate with surrounding areas to control pollution from coal fired and biomass combustion.
Key words:  Carbon component  Urban areas  Suburban areas  SOC  Source analysis  Nanjing