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Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM(2.5)
Poor air quality usually leads to PM(2.5) warnings and affects human health. The impact of frequency and duration of extreme air quality has received considerable attention. The extreme concentration of air pollution is related to its duration and annual frequency of occurrence known as concentratio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068585/ https://www.ncbi.nlm.nih.gov/pubmed/32098343 http://dx.doi.org/10.3390/ijerph17041419 |
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author | Chu, Hone-Jay Ali, Muhammad Zeeshan |
author_facet | Chu, Hone-Jay Ali, Muhammad Zeeshan |
author_sort | Chu, Hone-Jay |
collection | PubMed |
description | Poor air quality usually leads to PM(2.5) warnings and affects human health. The impact of frequency and duration of extreme air quality has received considerable attention. The extreme concentration of air pollution is related to its duration and annual frequency of occurrence known as concentration–duration–frequency (CDF) relationships. However, the CDF formulas are empirical equations representing the relationship between the maximum concentration as a dependent variable and other parameters of interest, i.e., duration and annual frequency of occurrence. As a basis for deducing the extreme CDF relationship of PM(2.5), the function assumes that the extreme concentration is related to the duration and frequency. In addition, the spatial pattern estimation of extreme PM(2.5) is identified. The regional CDF identifies the regional extreme concentration with a specified duration and return period. The spatial pattern of extreme air pollution over 8 h duration shows the hotspots of air quality in the central and southwestern areas. Central and southwestern Taiwan is at high risk of exposure to air pollution. Use of the regional CDF analysis is highly recommended for efficient design of air quality management and control. |
format | Online Article Text |
id | pubmed-7068585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70685852020-03-19 Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM(2.5) Chu, Hone-Jay Ali, Muhammad Zeeshan Int J Environ Res Public Health Article Poor air quality usually leads to PM(2.5) warnings and affects human health. The impact of frequency and duration of extreme air quality has received considerable attention. The extreme concentration of air pollution is related to its duration and annual frequency of occurrence known as concentration–duration–frequency (CDF) relationships. However, the CDF formulas are empirical equations representing the relationship between the maximum concentration as a dependent variable and other parameters of interest, i.e., duration and annual frequency of occurrence. As a basis for deducing the extreme CDF relationship of PM(2.5), the function assumes that the extreme concentration is related to the duration and frequency. In addition, the spatial pattern estimation of extreme PM(2.5) is identified. The regional CDF identifies the regional extreme concentration with a specified duration and return period. The spatial pattern of extreme air pollution over 8 h duration shows the hotspots of air quality in the central and southwestern areas. Central and southwestern Taiwan is at high risk of exposure to air pollution. Use of the regional CDF analysis is highly recommended for efficient design of air quality management and control. MDPI 2020-02-22 2020-02 /pmc/articles/PMC7068585/ /pubmed/32098343 http://dx.doi.org/10.3390/ijerph17041419 Text en © 2020 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 Chu, Hone-Jay Ali, Muhammad Zeeshan Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM(2.5) |
title | Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM(2.5) |
title_full | Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM(2.5) |
title_fullStr | Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM(2.5) |
title_full_unstemmed | Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM(2.5) |
title_short | Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM(2.5) |
title_sort | establishment of regional concentration–duration–frequency relationships of air pollution: a case study for pm(2.5) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068585/ https://www.ncbi.nlm.nih.gov/pubmed/32098343 http://dx.doi.org/10.3390/ijerph17041419 |
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