张志峰, 王佩, 石斌, 刘华牛, 曾铁梅, 毛明武, 陶懿, 刘俊玲, 刘智. 地铁环境质量时空分布特征及其影响因素研究[J]. 环境卫生学杂志, 2024, 14(7): 549-557. DOI: 10.13421/j.cnki.hjwsxzz.2024.07.002
    引用本文: 张志峰, 王佩, 石斌, 刘华牛, 曾铁梅, 毛明武, 陶懿, 刘俊玲, 刘智. 地铁环境质量时空分布特征及其影响因素研究[J]. 环境卫生学杂志, 2024, 14(7): 549-557. DOI: 10.13421/j.cnki.hjwsxzz.2024.07.002
    ZHANG Zhi-feng, WANG Pei, SHI Bin, LIU Hua-niu, ZENG Tie-mei, MAO Ming-wu, TAO Yi, LIU Jun-ling, LIU Zhi. The study on the spatial and temporal distribution characteristics and influencing factors of environmental quality in subways[J]. Journal of Environmental Hygiene, 2024, 14(7): 549-557. DOI: 10.13421/j.cnki.hjwsxzz.2024.07.002
    Citation: ZHANG Zhi-feng, WANG Pei, SHI Bin, LIU Hua-niu, ZENG Tie-mei, MAO Ming-wu, TAO Yi, LIU Jun-ling, LIU Zhi. The study on the spatial and temporal distribution characteristics and influencing factors of environmental quality in subways[J]. Journal of Environmental Hygiene, 2024, 14(7): 549-557. DOI: 10.13421/j.cnki.hjwsxzz.2024.07.002

    地铁环境质量时空分布特征及其影响因素研究

    The study on the spatial and temporal distribution characteristics and influencing factors of environmental quality in subways

    • 摘要:
      目的 评价武汉市地铁环境质量,揭示其主要空气污染物的时空分布特征及其影响因素,为采取针对性防控措施提供科学依据。
      方法 鉴于地铁线路开通时长、地铁线路站点功能(商业网点、换乘)等多因素对地铁空气质量的影响,选择武汉地铁2号线、3号线和7号线为研究线路,共18个地铁站点为监测点(6个站点/线路)。采样时段为2018年12月—2019年10月,覆盖春、夏、秋、冬4个季节,每个季节连续监测7天。监测指标包括温度、相对湿度、风速、照度、噪声、CO、CO2、PM10、PM2.5和细菌总数。
      结果 在夏、冬季,站台(24.8 ℃、13.1 ℃)和站厅(25.1 ℃、11.4 ℃)的空气温度中位值均低于《公共场所卫生指标及限值要求》(GB 37488-2019)的标准限值。站厅、站台的照度值均是7号线>3号线>2号线(P<0.01),仅秋、冬季可见室外照度值在三条线路有显著性差异(P<0.05)。站内环境噪声的中位值均高于《公共场所卫生指标及其限值》(GB 37488-2019)的标准限值(70dB(A)),且该值在4个季节均为站台>站厅>室外(P<0.05)。在冬季,站台、站厅和室外的CO浓度均较高。在春、夏、秋季,CO2浓度均是站台>站厅>室外(P<0.01)。在冬季,站台、站厅和室外的PM10、PM2.5浓度较高(P<0.01),且站台(115 μg/m3)和站厅(126 μg/m3)的PM2.5中位值高于《环境空气质量标准》(GB 3095-2012)修改单中的标准限值;在春、夏、冬季,3条线路的站台、站厅和室外之PM10、PM2.5均有显著性差异(P<0.01)。不同季节细菌总数含量在站台、站厅间未见显著性差异(P>0.05)。
      结论 武汉市地铁室内温度、PM2.5质量浓度、噪声污染应予以重视。该市地铁站内环境质量受室外环境、客流量、集中通风空调系统、地铁照明系统、地铁站空气净化装置的影响。

       

      Abstract:
      Objective To evaluate the environmental quality in Wuhan subway, reveal the temporal and spatial distribution characteristics of the main air pollutants and their influencing factors, and provide scientific basis for taking targeted prevention and control measures.
      Methods Eighteen subway stations were selected as monitoring sites from Wuhan Metro Line 2, Line 3 and Line 7 in light of the impact factors of the subway air quality, such as the opening time of the subway line, and the station functions of the subway line (commercial network and transit). The four-season measures were performed for temperature, relative humidity, wind speed, illumination, noise, CO, CO2, PM10, PM2.5 and total bacterial count from December 2018 to October 2019. The monitoring lasted for 7 consecutive days each quarter.
      Results The median values of temperature at the platforms (24.8 ℃, 13.1 ℃) and the station halls (25.1 ℃, 11.4 ℃) were lower than the standard limit in Hygienic Indicators and Limits for Public Places (GB 37488-2019) in summer and winter. In four seasons, the illuminance values at the station halls and platforms were all highest at Line 7 and lowest at Line 2 (P<0.05). Only in autumn and winter, the differences in the illuminance values outside the stations presented statistically significant differences among the three lines (P<0.05). In four seasons, the median values of ambient noise in the stations were all higher than the standard limit 70 dB (A) in GB 37488-2019, and the values were all highest in platforms and lowest outdoor (P<0.05). The CO concentrations at the platforms, station halls and outside the stations were all highest in winter. In spring, summer and autumn, the CO2 concentrations were all highest in platforms and lowest outdoor (P<0.01). The PM10 and PM2.5 concentrations at the platforms, the station halls and outside the stations were highest in winter (P<0.01). The median values of PM2.5 concentrations at the platforms and the station halls were higher than the standard limit in the amendment sheet of the Ambient Air Quality Standards (GB 3095-2012), were 115 μg/m3 and 126 μg/m3, respectively. In spring, summer, and winter, the differences in the PM10 and PM2.5 concentrations at the platforms, station halls and outside the stations presented statistically significant differences among the three lines (P<0.01).In the four seasons, no significant differences in total bacterial counts were seen between platforms and halls (P>0.05).
      Conclusion More attention should be payed to the indoor temperature problem, PM2.5 concentration and noise pollution in Wuhan subways. The environment outside the station, passenger flow, centralized ventilation and air conditioning system, subway lighting system, and air purification equipment in the subway station affects the environmental quality inside the subway stations in Wuhan.

       

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