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Characterization of a High PM(2.5) Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM(2.5) (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements
The Korea Simulation Exposure Model for fine particulate matter (PM(2.5)) (KoSEM-PM) was developed to estimate population PM(2.5) exposure in Korea. The data were acquired based on 59,945 min of the actual microenvironmental PM(2.5) measurements and on the time–activity patterns of 8072 residents of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313682/ https://www.ncbi.nlm.nih.gov/pubmed/30544727 http://dx.doi.org/10.3390/ijerph15122808 |
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author | Hwang, Yunhyung An, Jaehoon Lee, Kiyoung |
author_facet | Hwang, Yunhyung An, Jaehoon Lee, Kiyoung |
author_sort | Hwang, Yunhyung |
collection | PubMed |
description | The Korea Simulation Exposure Model for fine particulate matter (PM(2.5)) (KoSEM-PM) was developed to estimate population PM(2.5) exposure in Korea. The data were acquired based on 59,945 min of the actual microenvironmental PM(2.5) measurements and on the time–activity patterns of 8072 residents of Seoul. The aims of the study were to estimate daily PM(2.5) exposure of Seoul population, and to determine the characteristics of a high exposure group. KoSEM-PM estimated population exposures by applying the PM(2.5) distribution to the matching time–activity patterns at 10-min intervals. The mean personal PM(2.5) exposure level of the surveyed subjects in Seoul was 26.0 ± 2.7 µg/m(3) (range: 21.0–40.2 µg/m(3)) in summer. Factors significantly associated with high exposure included day of the week, age, industry sector, job type, and working hours. Individuals surveyed on Saturdays were more likely to be in the high exposure group than those surveyed on weekdays and Sundays. Younger, non-office-working individuals with longer working hours were more likely to be in the high exposure group. KoSEM-PM could be a useful tool to estimate population exposure levels to other region in Korea; to expand its use, microenvironmental measurements are required for other region in Korea. |
format | Online Article Text |
id | pubmed-6313682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63136822019-06-17 Characterization of a High PM(2.5) Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM(2.5) (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements Hwang, Yunhyung An, Jaehoon Lee, Kiyoung Int J Environ Res Public Health Article The Korea Simulation Exposure Model for fine particulate matter (PM(2.5)) (KoSEM-PM) was developed to estimate population PM(2.5) exposure in Korea. The data were acquired based on 59,945 min of the actual microenvironmental PM(2.5) measurements and on the time–activity patterns of 8072 residents of Seoul. The aims of the study were to estimate daily PM(2.5) exposure of Seoul population, and to determine the characteristics of a high exposure group. KoSEM-PM estimated population exposures by applying the PM(2.5) distribution to the matching time–activity patterns at 10-min intervals. The mean personal PM(2.5) exposure level of the surveyed subjects in Seoul was 26.0 ± 2.7 µg/m(3) (range: 21.0–40.2 µg/m(3)) in summer. Factors significantly associated with high exposure included day of the week, age, industry sector, job type, and working hours. Individuals surveyed on Saturdays were more likely to be in the high exposure group than those surveyed on weekdays and Sundays. Younger, non-office-working individuals with longer working hours were more likely to be in the high exposure group. KoSEM-PM could be a useful tool to estimate population exposure levels to other region in Korea; to expand its use, microenvironmental measurements are required for other region in Korea. MDPI 2018-12-10 2018-12 /pmc/articles/PMC6313682/ /pubmed/30544727 http://dx.doi.org/10.3390/ijerph15122808 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hwang, Yunhyung An, Jaehoon Lee, Kiyoung Characterization of a High PM(2.5) Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM(2.5) (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements |
title | Characterization of a High PM(2.5) Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM(2.5) (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements |
title_full | Characterization of a High PM(2.5) Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM(2.5) (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements |
title_fullStr | Characterization of a High PM(2.5) Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM(2.5) (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements |
title_full_unstemmed | Characterization of a High PM(2.5) Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM(2.5) (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements |
title_short | Characterization of a High PM(2.5) Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM(2.5) (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements |
title_sort | characterization of a high pm(2.5) exposure group in seoul using the korea simulation exposure model for pm(2.5) (kosem-pm) based on time–activity patterns and microenvironmental measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313682/ https://www.ncbi.nlm.nih.gov/pubmed/30544727 http://dx.doi.org/10.3390/ijerph15122808 |
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