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[武汉市冬季细颗粒物实时源解析及各源潜在地理来源]

[Real-time Source Apportionment of PM and Potential Geographic Origins of Each Source During Winter in Wuhan].

作者信息

Jiang Shu-Ning, Kong Shao-Fei, Zheng Huang, Zeng Xin, Chen Nan, Qi Shi-Hua

机构信息

School of Environmental Studies, China University of Geosciences, Wuhan 430074, China.

Research Centre for Complex Air Pollution of Hubei Province, Wuhan 430074, China.

出版信息

Huan Jing Ke Xue. 2022 Jan 8;43(1):61-73. doi: 10.13227/j.hjkx.202105171.

Abstract

China has always suffered from serious atmospheric fine particle (PM) pollution in winter, and PM in Wuhan is particularly affected by regional transportation. Based on the hourly monitoring dataset of chemical components during the winter period, this study identified the real-time sources of PM in Wuhan using a positive matrix factorization (PMF) model. A cluster analysis of backward trajectories and the concentration weighted trajectory were applied to obtain the potential source regions and transportation routes. During the observation period, (PM) was (75.1±29.2) μg·m, and there were two pollution episodes, one of which was mainly affected by the air masses coming from the northwest direction. In the first pollution episode, the increasing concentration of water-soluble ions was the main reason for the high PM value, and the concentrations of NH, NO, and SO were 1.6, 1.7, and 2.1 times those during the cleaning period, respectively. The other episode was affected by the air masses coming from the east direction, and the secondary organic components were clearly formed. Secondary inorganic aerosol contributed the most (34.1%) to PM, followed by vehicular exhaust (23.7%), coal combustion (11.5%), road dust (10.9%), iron- and steel-producing processes (8.7%), and firework displays (5.7%). Biomass burning contributed the least (5.3%). Our examination of the diurnal variation revealed that the maximum contribution of iron- and steel-producing processes appeared at 08:00[(17.5±18.8) μg·m], and the lowest was at 01:00[(10.4±10.9) μg·m], which stayed high in the daytime and low at night. The contribution of vehicular exhaust showed a double peak at 09:00[(42.1±24.8) μg·m] and 20:00[(41.6±19.5) μg·m]. In the first pollution period, the contribution rate of secondary inorganic aerosol increased significantly, indicating that the long-distance transport under the northwest air mass promoted the generation of secondary components. In the second pollution period, the contribution rates of vehicular exhaust, coal combustion, iron- and steel-producing processes, and road dust increased, mainly located in the local area, the northwest of Jiangxi and the south of Anhui province. This reflected the influence of industrial processes, road transportation, and dust contribution along the Yangtze River on PM. Biomass burning had a relatively high contribution for air masses from the northern regions, including Henan, Anhui, the south of Hebei, and the southwest of Shanxi provinces. The regional transport of pollutants from biomass combustion in the North China Plain during the winter would have an impact on Wuhan. This study can provide scientific and technological support for identifying the causes of atmospheric haze pollution in Wuhan during the winter and for the joint prevention and control of atmospheric particulate matter.

摘要

中国冬季一直遭受严重的大气细颗粒物(PM)污染,武汉的PM尤其受到区域传输的影响。基于冬季期间化学成分的每小时监测数据集,本研究使用正定矩阵因子分解(PMF)模型确定了武汉PM的实时来源。应用后向轨迹聚类分析和浓度加权轨迹来获取潜在源区和传输路径。在观测期内,(PM)为(75.1±29.2)μg·m,有两次污染事件,其中一次主要受来自西北方向的气团影响。在第一次污染事件中,水溶性离子浓度增加是PM值升高的主要原因,NH、NO和SO浓度分别是清洁期的1.6倍、1.7倍和2.1倍。另一次事件受来自东方的气团影响,二次有机成分明显形成。二次无机气溶胶对PM的贡献最大(34.1%),其次是机动车尾气(23.7%)、煤炭燃烧(11.5%)、道路扬尘(10.9%)、钢铁生产过程(8.7%)和烟花燃放(5.7%)。生物质燃烧贡献最小(5.3%)。我们对昼夜变化的研究表明,钢铁生产过程的最大贡献出现在08:00[(17.5±18.8)μg·m],最低出现在01:00[(10.4±10.9)μg·m],白天较高,夜间较低。机动车尾气的贡献在09:00[(42.1±24.8)μg·m]和20:00[(41.6±19.5)μg·m]出现双峰。在第一个污染期,二次无机气溶胶的贡献率显著增加,表明西北气团下的长距离传输促进了二次成分的生成。在第二个污染期,机动车尾气、煤炭燃烧、钢铁生产过程和道路扬尘的贡献率增加,主要位于当地、江西西北部和安徽南部。这反映了长江沿线工业过程、道路运输和扬尘贡献对PM的影响。生物质燃烧对来自包括河南、安徽、河北南部和山西西南部等北方地区的气团贡献相对较高。冬季华北平原生物质燃烧污染物的区域传输会对武汉产生影响。本研究可为识别武汉冬季大气雾霾污染成因及大气颗粒物联防联控提供科技支撑。

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