| 摘要: |
| 基于电迁移率颗粒物粒径数分布仪（SMPS）、气相色谱-质谱联用（GC-MS）、X-荧光（XRF）方法，于2022—2023年在南京市开展了部分大气新污染物的在线监测，并利用美国国家环境保护局（US EPA）健康风险评价模型评估其健康风险，进一步结合正定矩阵因子分解（PMF）模型对污染物及其健康风险进行来源解析。结果表明，南京市大气中新污染物浓度与其他地区报道的可比，且在遭遇污染过程时显著升高，锰元素的升幅最大（116.3%）。各类新污染物的健康风险均在安全阈值之内。PMF共分解出大气新污染物的5类来源，其中，超细颗粒物（UFPs）主要来自交通源（49%）、光化学（23%）和工业源（28%）；重金属主要来自工业源（74%），而挥发性有机物（VOCs）则由工业源（52%）、交通源（25%）和燃烧源（13%）贡献。南京市大气新污染物的非致癌风险由工业源主导，而致癌风险则分别来自交通源、轮船源和工业源。 |
| 关键词: 大气新污染物 超细颗粒物 重金属 挥发性有机物 正定矩阵因子分解模型 健康风险评估 |
| DOI：10.3969/j.issn.1674-6732.2023.05.023 |
| 分类号:X51 |
| 基金项目:江苏省生态环境监测科研基金（2324）；国家自然科学青年基金资助项目（42105096）；江苏省双创博士基金资助项目（JSSCBS20210033） |
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| Mass Concentrations， Source Analysis and Health Risk Assessment of Some Emerging Air Pollutants |
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SUN Peng， ZHONG Sheng，XU Zheng，QIN Yanhong，YU Jianqiao*
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Jiangsu Provincial Environmental Monitoring Center，Nanjing，Jiangsu 210019，China
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| Abstract: |
| Based on SMPS， GC-MS and XRF methods， online observations of some emerging air pollutants were carrying out in Nanjing from 2022 to 2023 with their health risks assessed using the EPA model. PMF model was further conducted to quantify the sources of pollutants and the health risks. As a result， the concentrations of emerging air pollutants in Nanjing were comparable to those reported in other areas and increased significantly during the pollution processes with Mn increasing the most（116.3%）. The health risks of these emerging pollutants are all within the safety limits. The 5 kinds of sources were decomposed by PMF model. The UFPs were mainly contributed by transportation（49%）， photochemistry（23%） and industry（28%）. Heavy metals are dominated by industry（74%）， while VOCs are contributed by industry（52%）， transportation（25%） and combustion（13%）. The non-carcinogenic risk of emerging pollutants in Nanjing is dominated by industry， while the carcinogenic risk can be attributed by transportation， ship sources and industry， respectively. |
| Key words: Emerging air pollutants in air Ultrafine particles Heavy metal Volatile organic compounds Positive matrix factorization Health risk assessment |
