Ting Zhang, Steven N Chillrud, Junfeng Ji, Yang Chen, Masha Pitiranggon, Wenqing Li, Zhenyang Liu, Beizhan Yan
{"title":"中国南京雾天和非雾天PM2.5暴露的比较。","authors":"Ting Zhang, Steven N Chillrud, Junfeng Ji, Yang Chen, Masha Pitiranggon, Wenqing Li, Zhenyang Liu, Beizhan Yan","doi":"10.4209/aaqr.2016.07.0301","DOIUrl":null,"url":null,"abstract":"<p><p>Fine particulate matter (PM<sub>2.5</sub>), 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 PM<sub>2.5</sub> exposures were monitored along a fixed routine that included 19 types of non-residential micro-environments (MEs) on 4 hazy days (ambient PM<sub>2.5</sub> 292 ± 70 μg m<sup>-3</sup>) and 2 non-hazy days (55 ± 16 μg m<sup>-3</sup>) in Nanjing, China using miniaturized real-time portable particulate sensors that also collect integrated filters of PM<sub>2.5</sub> (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 PM<sub>2.5</sub> levels were generally higher in MEs with noticeable PM<sub>2.5</sub> 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 PM<sub>2.5</sub> levels measured during hazy and non-hazy days were 242 ± 91 μg m<sup>-3</sup> and 103 ± 147 μg m<sup>-3</sup>, respectively. The ratio of personal exposure to ambient PM<sub>2.5</sub> levels (<i>r<sub>p/a</sub></i> ) 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 PM<sub>2.5</sub> 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.</p>","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"17 9","pages":"2235-2246"},"PeriodicalIF":2.5000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301043/pdf/nihms979284.pdf","citationCount":"24","resultStr":"{\"title\":\"Comparison of PM<sub>2.5</sub> Exposure in Hazy and Non-Hazy Days in Nanjing, China.\",\"authors\":\"Ting Zhang, Steven N Chillrud, Junfeng Ji, Yang Chen, Masha Pitiranggon, Wenqing Li, Zhenyang Liu, Beizhan Yan\",\"doi\":\"10.4209/aaqr.2016.07.0301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Fine particulate matter (PM<sub>2.5</sub>), 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 PM<sub>2.5</sub> exposures were monitored along a fixed routine that included 19 types of non-residential micro-environments (MEs) on 4 hazy days (ambient PM<sub>2.5</sub> 292 ± 70 μg m<sup>-3</sup>) and 2 non-hazy days (55 ± 16 μg m<sup>-3</sup>) in Nanjing, China using miniaturized real-time portable particulate sensors that also collect integrated filters of PM<sub>2.5</sub> (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 PM<sub>2.5</sub> levels were generally higher in MEs with noticeable PM<sub>2.5</sub> 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 PM<sub>2.5</sub> levels measured during hazy and non-hazy days were 242 ± 91 μg m<sup>-3</sup> and 103 ± 147 μg m<sup>-3</sup>, respectively. The ratio of personal exposure to ambient PM<sub>2.5</sub> levels (<i>r<sub>p/a</sub></i> ) 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 PM<sub>2.5</sub> levels while subway cars in Nanjing were relatively clean due to good air filtration on both hazy and non-hazy days. 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Comparison of PM2.5 Exposure in Hazy and Non-Hazy Days in Nanjing, China.
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.
期刊介绍:
The international journal of Aerosol and Air Quality Research (AAQR) covers all aspects of aerosol science and technology, atmospheric science and air quality related issues. It encompasses a multi-disciplinary field, including:
- Aerosol, air quality, atmospheric chemistry and global change;
- Air toxics (hazardous air pollutants (HAPs), persistent organic pollutants (POPs)) - Sources, control, transport and fate, human exposure;
- Nanoparticle and nanotechnology;
- Sources, combustion, thermal decomposition, emission, properties, behavior, formation, transport, deposition, measurement and analysis;
- Effects on the environments;
- Air quality and human health;
- Bioaerosols;
- Indoor air quality;
- Energy and air pollution;
- Pollution control technologies;
- Invention and improvement of sampling instruments and technologies;
- Optical/radiative properties and remote sensing;
- Carbon dioxide emission, capture, storage and utilization; novel methods for the reduction of carbon dioxide emission;
- Other topics related to aerosol and air quality.