基于船载走航的长江湖北段PM2.5特征及来源

郑煌, 陈楠, 郑淑睿, 许可, 郑明明

中国环境科学 ›› 2026, Vol. 46 ›› Issue (2) : 666-675.

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中国环境科学 ›› 2026, Vol. 46 ›› Issue (2) : 666-675.
大气污染与控制

基于船载走航的长江湖北段PM2.5特征及来源

  • 郑煌1,2, 陈楠3,4, 郑淑睿5, 许可3,4, 郑明明5
作者信息 +

Characterization and source apportionment of PM2.5 along the Hubei stretch of the Yangtze River using ship-based mobile monitoring

  • ZHENG Huang1,2, CHEN Nan3,4, ZHENG Shu-rui5, XU Ke3,4, ZHENG Ming-ming5
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摘要

2024年8月28日~9月3日,利用船载测量仪器对长江湖北段大气污染物浓度进行观测,获得了江面上大气污染浓度以及细颗粒物(PM2.5)化学组分信息.结果表明,走航期间,长江湖北段上CO、NO2、O3和SO2平均浓度分别为(0.75 ± 0.22)mg/m3、(19.87 ± 12.77)µg/m3、(74.23 ± 39.22)µg/m3和(21.98 ± 8.81)µg/m3,均未超过《环境空气质量标准》一级标准.走航期间PM2.5质量浓度为(35.84 ± 12.08)µg/m3,其中有机物占比最高((21.94± 7.36)%),其次为SO42-((20.53 ± 10.31)%)、NO3-((19.88 ± 12.29)%)和NH4+((12.80± 4.70)%).利用受体模型解析得到PM2.5来源于二次无机气溶胶、船舶排放、生物质燃烧和工业排放,其贡献率分别为(47.86 ± 6.17)%、(26.61± 3.32)%、(18.29 ± 6.57)%和(8.38 ± 4.68)%.对比走航观测和陆地超站观测数据发现,江面上的二次生成作用更强.耦合FLEXPART后向模拟和PM2.5排放清单,计算得到研究区域内各格点对走航路线上PM2.5浓度的相对贡献,长江沿岸的贡献率为76.90%,其他区域的贡献为23.10%.FLEXPART前向模拟结果表明,船舶排放对长江沿线的影响高于其他地区.

Abstract

From August 28 to September 3, 2024, the concentrations of atmospheric pollutants and chemical compositions of PM2.5 along the Hubei stretch of the Yangtze River were obtained using on aboard instruments. During the mobile survey, the average concentrations of CO, NO2, O3, and SO2 were (0.75 ± 0.22) mg/m3, (19.87 ± 12.77) µg/m3, (74.23 ± 39.22) µg/m3, and (21.98 ± 8.81) µg/m3 respectively, all below China's Grade I Ambient Air Quality Standards. The mean PM2.5 mass concentration was (35.84 ± 12.08) µg/m3, with organic matters being the dominant component ((21.94 ± 7.36)%), followed by SO42-((20.53 ± 10.31)%), NO3-((19.88 ± 12.29)%), and NH+ 4((12.80 ± 4.70)%). Using the receptor model, four PM2.5 sources including secondary inorganic aerosols, ship emissions, biomass burning, and industrial emissions were apportioned with contributions of (47.86 ± 6.17)%, (26.61 ± 3.32)%, (18.29 ± 6.57)%, and (8.38 ± 4.68)%, respectively. Comparison between mobile ship-based observations and land-based stationary supersite observations revealed stronger secondary formation over the river surface. By coupling the FLEXPART backward simulation with the PM2.5 emission inventory, the relative contribution of each grid point in the study area to the PM2.5 concentration along the mobile monitoring route was calculated and the contribution rate along the Yangtze River was 76.90%, while other regions accounted for 23.10%. FLEXPART forward simulation indicated that the ship emissions exerting greater impacts on the riverine regions than other areas.

关键词

大气污染物 / 走航 / 长江 / 源解析 / 前向模拟 / 后向轨迹

Key words

air pollutants / cruise observation / Yangtze River / source apportionment / forward simulation / backward trajectory

引用本文

导出引用
郑煌, 陈楠, 郑淑睿, 许可, 郑明明. 基于船载走航的长江湖北段PM2.5特征及来源[J]. 中国环境科学. 2026, 46(2): 666-675
ZHENG Huang, CHEN Nan, ZHENG Shu-rui, XU Ke, ZHENG Ming-ming. Characterization and source apportionment of PM2.5 along the Hubei stretch of the Yangtze River using ship-based mobile monitoring[J]. China Environmental Science. 2026, 46(2): 666-675
中图分类号: X513   

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基金

国家自然科学基金项目(42307151,42307147)

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