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2010年春运期间长途空调旅客列车车厢环境与空气质量综合评价
引用本文:吕榜军,郑杰孟.2010年春运期间长途空调旅客列车车厢环境与空气质量综合评价[J].预防医学文献信息,2010(11):1014-1015.
作者姓名:吕榜军  郑杰孟
作者单位:南宁铁路局疾病预防控制中心,广西柳州545007
摘    要:目的]了解春运期间旅客列车车厢空气质量。方法]2010年2月2-5日,在南宁铁路局选择旅客流量大的8趟长途空调列车,检测风速、温度、相对湿度、噪声、二氧化碳、空气细菌总数、可吸入颗粒物,并采用空气质量综合评价方法进行评价。结果]8趟列车合计检测40个点,风速、温度、相对湿度、噪声、二氧化碳、空气细菌总数、可吸入颗粒物超标率分别为2.50%、97.50%、22.50%、75.00%、32.50%、2.50%、12.50%。综合评价4趟旅客列车车厢的环境、空气质量,Ⅱ级(未污染)的2趟,Ⅲ级(轻度污染)的2趟;最主要污染物3趟是二氧化碳,1趟是相对湿度。结论]春运期间部分长途空调旅客列车车厢环境和空气受到污染。

关 键 词:旅客列车  空气质量

Comprehensive Evaluation on Environment and Air Quality in Air-conditioning Passenger Trains during the 2010 Spring Festival Transportation
LV Bang-jun,ZHENG Jie-meng.Comprehensive Evaluation on Environment and Air Quality in Air-conditioning Passenger Trains during the 2010 Spring Festival Transportation[J].Liferatue and Information On Preventine Medicine,2010(11):1014-1015.
Authors:LV Bang-jun  ZHENG Jie-meng
Institution:.(Nanning Railway Bureau Center for Disease Control and Prevention,Liuzhou,545007,Guangxi,China)
Abstract:Objective] To understand the air quality in the passenger train compartment during the Spring Festival transportation.Methods]On February 2-5,8 passenger trains were sampled with a large number of passengers,to detect the wind speed,temperature,relative humidity,carbon dioxide,index of the aerobic count(the total number of bacteria),respirable particulate matter,and the air quality comprehensive evaluation method was used.Results]The excessive standard rate of the wind speed,temperature,relative humidity,carbon dioxide,index of the aerobic count(the total number of bacteria),respirable particulate matter were 2.5%,97.5%,22.5%,75.0%,32.5%,2.5%,and 12.5%.Two passenger trains' air quality comprehinsive index was class II(no pollution),and the other two was class III(slight pollution);3 trains' main pollutant was carbon dioxide,the other one was relative humidity.Conclusion]Air-conditioning passenger trains' environment and air quality are polluted during the Spring Festival transportation.
Keywords:Passenger train  Air Quality
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