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The long-term assessment of air quality on an island in Malaysia

This study aims to evaluate the air quality on Langkawi Island, a famous tourist destination in Malaysia, using 13 years of data (1999–2011) recorded by the Malaysian Department of Environment. Variations of seven air pollutants (O(3), CO, NO, NO(2), NO(x), SO(2) and PM(10)) and three meteorological...

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Autores principales: Abdul Halim, Nor Diana, Latif, Mohd Talib, Ahamad, Fatimah, Dominick, Doreena, Chung, Jing Xiang, Juneng, Liew, Khan, Md Firoz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6300617/
https://www.ncbi.nlm.nih.gov/pubmed/30603693
http://dx.doi.org/10.1016/j.heliyon.2018.e01054
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author Abdul Halim, Nor Diana
Latif, Mohd Talib
Ahamad, Fatimah
Dominick, Doreena
Chung, Jing Xiang
Juneng, Liew
Khan, Md Firoz
author_facet Abdul Halim, Nor Diana
Latif, Mohd Talib
Ahamad, Fatimah
Dominick, Doreena
Chung, Jing Xiang
Juneng, Liew
Khan, Md Firoz
author_sort Abdul Halim, Nor Diana
collection PubMed
description This study aims to evaluate the air quality on Langkawi Island, a famous tourist destination in Malaysia, using 13 years of data (1999–2011) recorded by the Malaysian Department of Environment. Variations of seven air pollutants (O(3), CO, NO, NO(2), NO(x), SO(2) and PM(10)) and three meteorological factors (temperature, humidity and wind speed) were analysed. Statistical methods used to analyse the data included principal component regression (PCR) and sensitivity analysis. The results showed PM(10) was the dominant air pollutant in Langkawi and values ranged between 5.0 μg m(−3) and 183.2 μg m(−3). The patterns of monthly values showed that the concentrations of measured air pollutants on Langkawi were higher during the south-west monsoon (June–September) due to seasonal biomass burning activities. High CO/NO(x) ratio values (between 28.3 and 43.6), low SO(2)/NO(x) ratio values (between 0.04 and 0.12) and NO/NO(2) ratio values exceeding 2.2 indicate the source of air pollutants in this area was motor vehicles. PCR analysis grouped the seven variables into two factor components: the F1 component consisted of SO(2), NO and NO(x) and the F2 component consisted of PM(10). The F1 component (R(2) = 0.931) indicated a stronger standardized coefficient value for meteorological variables compared to the F2 component (R(2) = 0.059). The meteorological variables were statistically significant (p < 0.05) in influencing the distribution of the air pollutants. The status of air quality on the island could be improved through control on motor vehicle emissions as well as collaborative efforts to reduce regional air pollution, especially from biomass burning.
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spelling pubmed-63006172019-01-02 The long-term assessment of air quality on an island in Malaysia Abdul Halim, Nor Diana Latif, Mohd Talib Ahamad, Fatimah Dominick, Doreena Chung, Jing Xiang Juneng, Liew Khan, Md Firoz Heliyon Article This study aims to evaluate the air quality on Langkawi Island, a famous tourist destination in Malaysia, using 13 years of data (1999–2011) recorded by the Malaysian Department of Environment. Variations of seven air pollutants (O(3), CO, NO, NO(2), NO(x), SO(2) and PM(10)) and three meteorological factors (temperature, humidity and wind speed) were analysed. Statistical methods used to analyse the data included principal component regression (PCR) and sensitivity analysis. The results showed PM(10) was the dominant air pollutant in Langkawi and values ranged between 5.0 μg m(−3) and 183.2 μg m(−3). The patterns of monthly values showed that the concentrations of measured air pollutants on Langkawi were higher during the south-west monsoon (June–September) due to seasonal biomass burning activities. High CO/NO(x) ratio values (between 28.3 and 43.6), low SO(2)/NO(x) ratio values (between 0.04 and 0.12) and NO/NO(2) ratio values exceeding 2.2 indicate the source of air pollutants in this area was motor vehicles. PCR analysis grouped the seven variables into two factor components: the F1 component consisted of SO(2), NO and NO(x) and the F2 component consisted of PM(10). The F1 component (R(2) = 0.931) indicated a stronger standardized coefficient value for meteorological variables compared to the F2 component (R(2) = 0.059). The meteorological variables were statistically significant (p < 0.05) in influencing the distribution of the air pollutants. The status of air quality on the island could be improved through control on motor vehicle emissions as well as collaborative efforts to reduce regional air pollution, especially from biomass burning. Elsevier 2018-12-18 /pmc/articles/PMC6300617/ /pubmed/30603693 http://dx.doi.org/10.1016/j.heliyon.2018.e01054 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Abdul Halim, Nor Diana
Latif, Mohd Talib
Ahamad, Fatimah
Dominick, Doreena
Chung, Jing Xiang
Juneng, Liew
Khan, Md Firoz
The long-term assessment of air quality on an island in Malaysia
title The long-term assessment of air quality on an island in Malaysia
title_full The long-term assessment of air quality on an island in Malaysia
title_fullStr The long-term assessment of air quality on an island in Malaysia
title_full_unstemmed The long-term assessment of air quality on an island in Malaysia
title_short The long-term assessment of air quality on an island in Malaysia
title_sort long-term assessment of air quality on an island in malaysia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6300617/
https://www.ncbi.nlm.nih.gov/pubmed/30603693
http://dx.doi.org/10.1016/j.heliyon.2018.e01054
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