首页|期刊导航|安徽大学学报(自然科学版)|典型港口城市大气PM2.5组分特征及来源解析

典型港口城市大气PM2.5组分特征及来源解析OA

The characteristic and source apportionment of atmospheric PM2.5 in a typical port city

中文摘要英文摘要

为探究沿海港口城市大气PM2.5的化学组分特征及其污染来源,分析了连云港市2020年12月-2021年1月冬季采暖期间PM2.5样本的化学组成.组分特征结果表明:该市PM2.5的主要化学成分包括有机碳、元素碳、水溶性离子(SO42-,NO3-,NH4+)和地壳元素(如Si,Al等),其中有机碳和元素碳占有显著的比例并在清洁与污染天气中均表现出较强的相关性.源解析结果表明:PM2.5依次来自二次生成源(24.6%)、机动车排放源(21.1%)、燃煤与生物质源(17.2%)、工业源(14.5%)、船舶排放源(11.9%)、扬尘源(5.9%)和海洋源(4.8%).气团后向轨迹分析显示:山东省东部、安徽省北部和江苏省中部为PM2.5的潜在来源区域.为有效应对PM2.5污染,建议加强区域联防联控(尤其在冬季采暖期间).推动绿色交通与能源转型、强化港口和船舶排放管控,将改善空气质量并为沿海港口城市污染管控提供参考.

To investigate the chemical composition and pollution sources of atmospheric PM2.5 in coastal port cities,PM2.5 samples collected in Liangyungang City from December 2020 to January 2021 during the winter heating period were analyzed.The results showed that the main chemical components of PM2.5 in Lianyungang include organic carbon(OC),elemental carbon(EC),water-soluble ions(SO42-,NO3-,NH4+),and crustal elements(Si,Al),with OC and EC making up a significant proportion.Strong correlations between OC and EC were observed under both clean and polluted conditions.Source apportionment indicated that the main sources of PM2.5 were secondary formation(24.6%),motor vehicle emissions(21.1%),coal and biomass combustion(17.2%),industrial sources(14.5%),ship emissions(11.9%),dust(5.9%),and marine sources(4.8%).Backward trajectory analysis identified eastern Shandong,northern Anhui,and central Jiangsu as potential source regions.To better control PM2.5 pollution,it is recommended that port cities strengthen regional cooperation,especially during winter heating,by sharing air quality data with neighboring cities.Promoting green transportation and energy transition,along with stricter control of port and ship emissions,will help improve air quality and provide guidance for pollution control in other coastal port cities.

赵丰旺;刘涛涛;李林;李子俊;朱承驻

合肥工业大学资源与环境工程学院,安徽 合肥 230009||合肥工业大学大气污染与控制研究所,安徽 合肥 230009合肥工业大学资源与环境工程学院,安徽 合肥 230009||合肥工业大学大气污染与控制研究所,安徽 合肥 230009皖北煤电集团有限公司,安徽宿州 234000合肥工业大学资源与环境工程学院,安徽 合肥 230009||合肥工业大学大气污染与控制研究所,安徽 合肥 230009合肥工业大学资源与环境工程学院,安徽 合肥 230009||合肥工业大学大气污染与控制研究所,安徽 合肥 230009

资源环境

连云港市PM2.5化学组分源解析后向轨迹

Lianyungang CityPM2.5chemical componentssource apportionmentbackward trajectory

《安徽大学学报(自然科学版)》 2026 (3)

69-77,9

安徽省自然科学基金资助项目(2023hb0005)中央高校基本科研业务费项目(JZ2025HGTA0148)

10.3969/j.issn.1000-2162.2026.03.010

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