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Comparison of PM2.5 Exposure in Hazy and Non-Hazy Days in Nanjing China

机译:南京雾霾日和非雾霾日PM2.5暴露的比较

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摘要

Fine particulate matter (PM2.5), levels of which are about 6 times the 2014 WHO air quality guidelines for 190 cities in China, has been found to be associated with various adverse health outcomes. In this study, personal PM2.5 exposures were monitored along a fixed routine that included 19 types of non-residential micro-environments (MEs) on 4 hazy days (ambient PM2.5 292 ± 70 μg m−3) and 2 non-hazy days (55 ± 16 μg m−3) in Nanjing, China using miniaturized real-time portable particulate sensors that also collect integrated filters of PM2.5 (MicroPEMs, Research Triangle Institute (RTI), NC). Gravimetric correction is necessary for nephelometer devices in calculating real-time PM levels. During both hazy and non-hazy days, personal PM2.5 levels were generally higher in MEs with noticeable PM2.5 sources than MEs serving as receptor sites, higher in open MEs than indoor MEs, and higher in densely populated MEs than MEs with few people. Personal PM2.5 levels measured during hazy and non-hazy days were 242 ± 91 μg m−3 and 103 ± 147 μg m−3, respectively. The ratio of personal exposure to ambient PM2.5 levels (rp/a) was less than 1.0 and less variable on hazy days (0.85 ± 0.31); while it was larger than 1.0 and more variable on non-hazy days (1.71 ± 1.93), confirming the importance of local sources other than ambient during non-hazy days. Air handling methods (e.g., ventilation/filtration) impacted personal exposures in enclosed locations on both types of days. Street food vendors with cooking emissions were MEs with the highest personal PM2.5 levels while subway cars in Nanjing were relatively clean due to good air filtration on both hazy and non-hazy days. In summary, on hazy days, personal exposure was mainly affected by the regional ambient levels, while on non-hazy days, local sources together with ambient levels determined personal exposure levels.
机译:细颗粒物(PM2.5)的水平约为2014年世界卫生组织针对中国190个城市的空气质量指南的6倍,其与各种不良健康后果相关。在这项研究中,按照固定的程序对个人PM2.5的暴露进行了监测,包括在4个朦胧的天(环境PM2.5 292±70μgm −3 )和2个非雾霾天(55±16μgm −3 )在中国南京,使用小型实时便携式颗粒传感器收集PM2.5的集成过滤器(MicroPEM,研究美国北卡罗来纳州三角研究所(RTI)。浊度校正对于浊度仪设备在计算实时PM水平时是必需的。在朦胧和非朦胧的日子里,具有显着PM2.5来源的ME中的个人PM2.5水平通常高于用作受体位点的ME,在开放式ME中高于在室内ME,在人口稠密的ME中高于那些很少的ME。人。在朦胧的日子和非朦胧的日子里测得的个人PM2.5含量分别为242±91μgm -3 和103±147μgm -3 。个人暴露与周围PM2.5水平的比率(rp / a)小于1.0,并且在朦胧的日子中变化较小(0.85±0.31);而它大于1.0且在非朦胧的日子中变化更大(1.71±1.93),证实了非朦胧的日子中除了环境以外的本地来源的重要性。空气处理方法(例如通风/过滤)在两种类型的日子中都会影响封闭区域内的个人暴露。产生炊事排放的街头食品供应商的个人PM2.5含量最高,而南京的地铁车厢相对干净,这是因为在朦胧和非朦胧的日子里空气过滤效果都很好。总而言之,在朦胧的日子里,个人暴露主要受区域环境水平的影响,而在非朦胧的日子里,当地资源和周围环境水平共同决定了个人暴露的水平。

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