我国候车室室内外PM2.5的区域分布差异及影响因素

    Regional differences in indoor and outdoor PM2.5 distribution at station waiting rooms and their influencing factors across China

    • 摘要:
      目的 了解我国候车室室内外PM2.5的分布特征和影响因素, 为候车室等公共场所PM2.5的限值制定及污染防控提供数据支持。
      方法 于2019年暖季(5—10月)和冷季(11—次年4月)对我国32个省级行政区126个候车室的室内外PM2.5进行检测, 采样布点方法根据候车室面积进行划分布设, PM2.5检测采用光散射法。
      结果 2019年候车室的室内外PM2.5的质量浓度M(P25, P75)分别为35.5(17.5, 57.0)μg/m3和41.0(24.0, 69.0)μg/m3, PM2.5的I/O M(P25, P75)为0.89(0.61, 1.09)。Kruskal-Wallis检验表明, 候车室室内(χ2=61.26, P < 0.001)、室外(χ2=27.83, P < 0.001)及I/O比值(χ2=35.07, P < 0.001)的PM2.5空间分布均存在显著区域差异, 其中华中地区三类指标均为全国最高。候车室内PM2.5浓度及I/O可能与候车室高度、面积、运营时间以及人流量有关。
      结论 我国候车室室内和室外PM2.5分布具有地域差异。因此, 各地需要建立动态监测体系并制定差异化治理策略, 采取有效措施改善公共场所室内空气质量。

       

      Abstract:
      Objective To investigate the distribution of fine particulate matter (PM2.5) at urban transit system waiting rooms across China and their influencing factors, and to provide data support for establishing PM2.5 limits and pollution prevention and control strategies in public places such as waiting rooms.
      Methods PM2.5 concentrations were measured with the light scattering method in the indoor and outdoor spaces of 126 waiting rooms sampled across 32 provinces in the warm season (May to October) and the cold season (November to next April) in 2019. Sampling points were set based on the area of waiting rooms.
      Results In 2019, the median (P25, P75) mass concentrations of indoor and outdoor PM2.5 at waiting rooms were 35.5 (17.5, 57.0) μg/m3 and 41.0 (24.0, 69.0) μg/m3, respectively. The median (P25, P75) indoor-to-outdoor ratio (I/O) for PM2.5 was 0.89 (0.61, 1.09). The Kruskal-Wallis test detected significant regional differences in indoor PM2.5 (χ2=61.26, P < 0.001), outdoor PM2.5 (χ2=27.83, P < 0.001), and I/O (χ2=35.07, P < 0.001), all being the highest in Central China. Indoor PM2.5 concentrations and the I/O ratio could be associated with the height, area, operating hours, and passenger flow of waiting rooms.
      Conclusion There are significant regional disparities in indoor and outdoor PM2.5 distributions at waiting rooms across China. Therefore, it is imperative to establish dynamic monitoring systems, formulate region-specific governance strategies, and implement targeted measures to improve indoor air quality in public places.

       

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