Assessing short term air quality trend in Malaysia based on air pollution index (APi)

Air Pollution Index (API) is used in Malaysia to determine the daily air quality status, which is calculated based on the daily concentrations of particulate matter (PM10), ground-level ozone (O3), carbon monoxide (CO), sulphur dioxide (SO2) and nitrogen dioxide (NO2). This study presents short-term...

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Main Authors: J Sentian, M S Nur Sayzni, C Payus M
Format: Proceedings
Language:English
English
Published: IOP Publishing Ltd 2022
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Online Access:https://eprints.ums.edu.my/id/eprint/41764/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41764/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41764/
https://iopscience.iop.org/article/10.1088/1755-1315/1103/1/012002
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Institution: Universiti Malaysia Sabah
Language: English
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id my.ums.eprints.41764
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spelling my.ums.eprints.417642024-11-06T06:38:34Z https://eprints.ums.edu.my/id/eprint/41764/ Assessing short term air quality trend in Malaysia based on air pollution index (APi) J Sentian M S Nur Sayzni C Payus M QD241-441 Organic chemistry TP248.13-248.65 Biotechnology Air Pollution Index (API) is used in Malaysia to determine the daily air quality status, which is calculated based on the daily concentrations of particulate matter (PM10), ground-level ozone (O3), carbon monoxide (CO), sulphur dioxide (SO2) and nitrogen dioxide (NO2). This study presents short-term air quality trends based on API from the 52 air quality monitoring stations nationwide between 2010 and 2016. The air quality data and meteorological conditions were obtained from the Department of Environment and used for the API calculation. The API value is classified into six categories, namely: Good (0-50), Moderate (51-100), Unhealthy (101-200), Very Unhealthy (201-300), Hazardous (301-500), and Emergency (above 500). The coefficient of variation (CV) and Mann-Kendall trend test (MK) were used to assess the API variation and trend in each air quality monitoring station. Between the study periods, the API values were largely varied. Observation at 32 air quality monitoring stations have shown significant but small increasing trends, while 12 stations showed significant decreasing trends, and the remaining 8 stations showed no significant trends. The frequency of exceedance (API>50) was used to assess the percentages of unhealthy days. The analysis has found that air quality in Klang Valley was experiencing the highest number of unhealthy days, while the two Malaysian states in Borneo (Sabah and Sarawak) to be relatively less polluted. IOP Publishing Ltd 2022 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/41764/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41764/2/FULL%20TEXT.pdf J Sentian and M S Nur Sayzni and C Payus M (2022) Assessing short term air quality trend in Malaysia based on air pollution index (APi). https://iopscience.iop.org/article/10.1088/1755-1315/1103/1/012002
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QD241-441 Organic chemistry
TP248.13-248.65 Biotechnology
spellingShingle QD241-441 Organic chemistry
TP248.13-248.65 Biotechnology
J Sentian
M S Nur Sayzni
C Payus M
Assessing short term air quality trend in Malaysia based on air pollution index (APi)
description Air Pollution Index (API) is used in Malaysia to determine the daily air quality status, which is calculated based on the daily concentrations of particulate matter (PM10), ground-level ozone (O3), carbon monoxide (CO), sulphur dioxide (SO2) and nitrogen dioxide (NO2). This study presents short-term air quality trends based on API from the 52 air quality monitoring stations nationwide between 2010 and 2016. The air quality data and meteorological conditions were obtained from the Department of Environment and used for the API calculation. The API value is classified into six categories, namely: Good (0-50), Moderate (51-100), Unhealthy (101-200), Very Unhealthy (201-300), Hazardous (301-500), and Emergency (above 500). The coefficient of variation (CV) and Mann-Kendall trend test (MK) were used to assess the API variation and trend in each air quality monitoring station. Between the study periods, the API values were largely varied. Observation at 32 air quality monitoring stations have shown significant but small increasing trends, while 12 stations showed significant decreasing trends, and the remaining 8 stations showed no significant trends. The frequency of exceedance (API>50) was used to assess the percentages of unhealthy days. The analysis has found that air quality in Klang Valley was experiencing the highest number of unhealthy days, while the two Malaysian states in Borneo (Sabah and Sarawak) to be relatively less polluted.
format Proceedings
author J Sentian
M S Nur Sayzni
C Payus M
author_facet J Sentian
M S Nur Sayzni
C Payus M
author_sort J Sentian
title Assessing short term air quality trend in Malaysia based on air pollution index (APi)
title_short Assessing short term air quality trend in Malaysia based on air pollution index (APi)
title_full Assessing short term air quality trend in Malaysia based on air pollution index (APi)
title_fullStr Assessing short term air quality trend in Malaysia based on air pollution index (APi)
title_full_unstemmed Assessing short term air quality trend in Malaysia based on air pollution index (APi)
title_sort assessing short term air quality trend in malaysia based on air pollution index (api)
publisher IOP Publishing Ltd
publishDate 2022
url https://eprints.ums.edu.my/id/eprint/41764/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41764/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41764/
https://iopscience.iop.org/article/10.1088/1755-1315/1103/1/012002
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