Air quality monitoring and correlation analysis in public areas of three subway stations in Shanghai
Journal Title: Shanghai Journal of Preventive Medicine - Year 2022, Vol 34, Issue 10
Abstract
ObjectiveTo understand the correlation between air quality and pollutants in three underground subway stations in Shanghai and their influencing factorsï¼ in order to provide a reference for improving the ambient air quality of rail transit and enhancing control measures.MethodsAir quality was monitored in summerï¼ autumnï¼ and winter of 2021 at the hallsï¼ platformsï¼ carriages and fresh air wells of three underground stations of Shanghai metro line 9ï¼ with indicators including temperatureï¼ relative humidityï¼ wind speedï¼ CO2ï¼ PM1ï¼ PM2.5ï¼ PM10ï¼ total airborne bacteriaï¼ total airborne fungiï¼ and passenger flow. Correlation analysis and multiple regression analysis were used to explore the association between pollutant indicators and environmental indicators.ResultsThe relative humidity of air at three stations did not meet the national health standards ï¼GB 37488â2019ï¼ï¼ with an exceedance rate of 66.7%ï¼ the PM10 detection index at individual stations in autumn and winter did not meet the national health standards ï¼GB 37488â2019ï¼ï¼ with an exceedance rate of 20.6%ï¼ while the rest of the indexes basically met the requirements of the standards. Spatiallyï¼ the CO2 and wind speed in the carriage were higher than in other areas of the stationï¼ the concentration of particulate matter in the fresh air well and the total number of airborne fungi were higher than in other areas. Seasonallyï¼ the concentration of particulate matter was higher in winter than in summer and autumnï¼ while the microbial indexes were higher in summer than in autumn and winter. The correlation and regression analysis showed that the passenger flow was significantly and positively correlated with the CO2 concentrationï¼ the temperature and humidity were significantly and negatively correlated with the particulate matter concentration and positively correlated with the microbial index. The correlation and multiple regression analysis showed that the subway station health indicators were significantly affected by the ambient temperatureï¼ humidityï¼ seasonal and monitoring regional factorsï¼ while the influence of sampling time had no significant effect on the differences in the health indicators.ConclusionThe air quality of the three stations in this survey generally meets the requirements of health standards. The changes of air pollutants in subway stations show obvious spatial and temporal characteristics. The passenger flow and temperature and humidityï¼ as well as sample sites are important factors affecting the concentration of particulate matter and the level of air microorganismsï¼ which need to be considered when formulating the corresponding protection strategies.
Authors and Affiliations
LIU Yongping,ZHANG Lijun,SU Jin,
Keywords
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