Literature DB >> 30581458

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

Ting Zhang1,2, Steven N Chillrud2, Junfeng Ji1, Yang Chen1, Masha Pitiranggon2, Wenqing Li3, Zhenyang Liu1, Beizhan Yan2.   

Abstract

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.

Entities:  

Keywords:  Haze; Micro-environment; PM2.5; Personal exposure; Subway

Year:  2017        PMID: 30581458      PMCID: PMC6301043          DOI: 10.4209/aaqr.2016.07.0301

Source DB:  PubMed          Journal:  Aerosol Air Qual Res        ISSN: 1680-8584            Impact factor:   3.063


  8 in total

1.  Characterizing peak exposure of secondhand smoke using a real-time PM2.5 monitor.

Authors:  Ting Zhang; Steven N Chillrud; Qiang Yang; Masha Pitiranggon; James Ross; Frederica Perera; Junfeng Ji; Avrum Spira; Patrick N Breysse; Charles E Rodes; Rachel Miller; Beizhan Yan
Journal:  Indoor Air       Date:  2019-12-11       Impact factor: 5.770

2.  Indoor particulate matter and lung function in children.

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Journal:  Sci Total Environ       Date:  2019-01-24       Impact factor: 7.963

3.  Combining sensor-based measurement and modeling of PM2.5 and black carbon in assessing exposure to indoor aerosols.

Authors:  Jennie Cox; Seung-Hyun Cho; Patrick Ryan; Kelechi Isiugo; James Ross; Steven Chillrud; Zheng Zhu; Roman Jandarov; Sergey A Grinshpun; Tiina Reponen
Journal:  Aerosol Sci Technol       Date:  2019-05-06       Impact factor: 2.908

4.  Field Test of Several Low-Cost Particulate Matter Sensors in High and Low Concentration Urban Environments.

Authors:  Karoline K Johnson; Michael H Bergin; Armistead G Russell; Gayle S W Hagler
Journal:  Aerosol Air Qual Res       Date:  2018       Impact factor: 3.063

5.  Spatial-temporal variability and heath impact of particulate matter during a 2019-2020 biomass burning event in Southeast Asia.

Authors:  Murnira Othman; Mohd Talib Latif; Haris Hafizal Abd Hamid; Royston Uning; Thipsukon Khumsaeng; Worradorn Phairuang; Zawawi Daud; Juferi Idris; Nurzawani Md Sofwan; Shih-Chun Candice Lung
Journal:  Sci Rep       Date:  2022-05-10       Impact factor: 4.996

6.  Opening a Large Delivery Service Warehouse in the South Bronx: Impacts on Traffic, Air Pollution, and Noise.

Authors:  Jenni A Shearston; A Mychal Johnson; Arce Domingo-Relloso; Marianthi-Anna Kioumourtzoglou; Diana Hernández; James Ross; Steven N Chillrud; Markus Hilpert
Journal:  Int J Environ Res Public Health       Date:  2020-05-05       Impact factor: 3.390

7.  Prenatal and Postnatal Household Air Pollution Exposure and Infant Growth Trajectories: Evidence from a Rural Ghanaian Pregnancy Cohort.

Authors:  Ellen Boamah-Kaali; Darby W Jack; Kenneth A Ae-Ngibise; Ashlinn Quinn; Seyram Kaali; Kathryn Dubowski; Felix B Oppong; Blair J Wylie; Mohammed N Mujtaba; Carlos F Gould; Stephaney Gyaase; Steven Chillrud; Seth Owusu-Agyei; Patrick L Kinney; Kwaku Poku Asante; Alison G Lee
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Review 8.  Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review.

Authors:  Giacomo Fanti; Francesca Borghi; Andrea Spinazzè; Sabrina Rovelli; Davide Campagnolo; Marta Keller; Andrea Cattaneo; Emanuele Cauda; Domenico Maria Cavallo
Journal:  Sensors (Basel)       Date:  2021-06-30       Impact factor: 3.576

  8 in total

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