苏南地区一次冬季典型细颗粒物污染过程精准识别及来源解析:以苏州高新区为例

    Accurate Identification and Source Analysis of Typical Wintertime Particulate Matter Pollution Processes in Southern Jiangsu Province: A Case Study of Suzhou New District

    • 摘要: 城市产业和人口的快速聚集导致空气污染物排放量不断增加,区域性大气污染问题突出,特别是在工业园区。为明确苏南地区典型细颗粒物(PM2.5)污染特征和来源,笔者以苏州高新区2022年12月一次连续性污染过程为例,利用PM2.5组分特征进行污染成因和来源解析。结果表明:(1)PM2.5浓度与温度、湿度、风速和风向等气象因素呈显著相关,低风速、高相对湿度的气象条件有利于细颗粒物吸湿增长以及污染气团长时间停留。(2)从行业来源贡献比来看,二次生成对细颗粒物的贡献占比(62%)高于一次排放占比(38%)。一次排放源中工艺过程源(12%)、移动源(9%)以及燃煤、生物质等燃烧源(7%)贡献比较高。(3)从区域传输贡献来看,冬季PM2.5主要受苏州市外传输(67.4%±15.5%)、苏州市内传输(20.5%±7.89%)和本地生成(12.1%±5.53%)影响。研究结果可为划定不同大气污染物的重点防治区域和制定联合防治行动计划提供依据,也可为环境质量管理与美丽城市生态建设提供科学支撑。

       

      Abstract: The rapid agglomeration of urban industries and population has led to increased emissions of air pollutants, exacerbating regional air pollution problems, especially in industrial parks. To clarify the characteristics and sources of typical particulate matter pollution in Southern Jiangsu, this study examines a continuous pollution process event in Suzhou New District in December 2022. Using the PM2.5 component analysis, the study investigates the underlying causes and sources of the pollution. The results are as follows: (1) PM2.5 concentrations are significantly correlated with meteorological factors such as temperature, humidity, and wind speed and direction. Meteorological conditions of low wind speed and high relative humidity are conducive to the hygroscopic growth of particulate matter and the prolonged residence of polluted air masses. (2) Regarding the contribution ratio of industry sources, the secondary formation of particulate matter accounts for a higher proportion (62%) compared to the primary emissions (38%). Among primary emission sources, process sources (12%), mobile sources (9%), and combustion sources such as coal and biomass (7%) are the most significant contributors. (3) In terms of regional transmission contribution, winter PM2.5 in Suzhou New District is primarily influenced by transmission from outside of Suzhou (67.4%±15.5%), followed by transmission within Suzhou (20.5%±7.89%) and local generation within the industrial park (12.1%±5.53%). The study results can provide scientific basis for the delineating key areas for prevention and control of various air pollutants, formulating joint prevention and control action plans, and supporting environmental quality management and eco-city construction.

       

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