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摘要: 基于CAMx模型的PSAT颗粒物源示踪技术,对2016年济南都市圈PM2.5污染、区域传输规律及行业贡献进行了定量分析。结果表明:从PM2.5年均来源贡献率看,济南市本地排放约占50%,来自济南都市圈总贡献率约占75%。圈内城市间相互贡献明显,最高达13%。夏季,本地贡献最大,区域传输中鲁东地区对研究区域影响最高,为24%;受冬季季风影响,来自京津冀方向的区域传输增多,最高达24%。目前,对济南都市圈PM2.5贡献较大的污染源为工业锅炉、钢铁、扬尘源、化工、冶金、建材行业和机动车,有针对性地削减上述污染源排放,可达到快速、有效降低PM2.5浓度的目的。Abstract: Based on the PSAT particulate source tracing technology of camx model, the quantitative analysis of PM2.5 pollution, regional transport law and sector contribution for cities over Jinan Metropolitan Area were performed for year 2016. The results showed that in terms of the annual mean source apportionment of PM2.5, for the local area of Jinan City, the emission accounted for about 50%, while the whole Jinan Metropolitan Area contributed 75%. The mutual contributions among Jinan Metropolitan Area cities were obvious, up to 13%. In summer, the local contribution was the largest and the regional transport in the eastern Shandong region had the highest impact on the study area by 24%. While in winter, affected by the winter monsoon, the regional transport from Beijing-Tianjin-Hebei Region increased, up to 24%. At present, as far as Jinan Metropolitan Area was concerned, the major sectors contributed to PM2.5 included industrial boilers, steel industry, fugitive dust, chemical industry, metallurgical industry, building material industry, and automobile source. The targeted counter-measure for the above sectors may be a fast and effective approach to reduce PM2.5 pollution.
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Key words:
- Jinan Metropolitan Area /
- PM2.5 /
- air quality simulation /
- source apportionment
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