Publication:
Effects of Population Weighting on PM 10 Concentration Estimation

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dc.contributor.authorAmeerah Su’ad Abdul Shakor
dc.contributor.authorMuhammad Alfatih Pahrol
dc.contributor.authorMohamad Iqbal Mazeli
dc.date.accessioned2024-08-25T06:53:33Z
dc.date.available2024-08-25T06:53:33Z
dc.date.issued2020
dc.description.abstractEpidemiological studies have found that particulate matter less than 10 microns in diameter (PM10) is hazardous to climate and human health. Population-weighted exposure level (PWEL) estimation is fundamental in providing quantitative assessments of areas where the population is vulnerable to the harmful pollutant. This study assesses PWEL of PM10 concentrations in all 16 states of Malaysia for years 2000, 2008 and 2013 using remote sensing and geographic information system (GIS). PM10 concentration estimation method from a local study was applied to validate the estimated PM10 annual mean concentrations with a spatial resolution of 5 kilometers retrieved from satellite data. Population count was obtained from the Gridded Population of the World version 4 (GPWv4) from the Center for International Earth Science Information Network (CIESIN). Estimated PM10 concentrations and gridded population count were then overlaid to generate PWEL of PM10. PWEL of PM10 for each state in Malaysia for the three years were then calculated to study the PWEL of PM10 trend. The concentrations of the pollutant were then classified based on the World Health Organization interim target (WHO IT) guideline. Increasing PWEL of PM10 were seen in 9 states over the 13-year period. Over those years, Putrajaya and Penang had the most increasing trend of PWEL of PM10 with an increment of 119% and 95% respectively. Putrajaya also had the highest recorded PWEL of PM10 (72 µg/m3) in 2013, exceeding the WHO IT class 1 guideline (70 µg/m3). Results based on human exposure analysis show the vulnerability was more towards urban and industrialized states. These results can be used as a decision-making tool and reference for health risk assessment on the population, areas, and sources that need more attention to curb air pollution.
dc.identifier.doi10.1155/2020/1561823
dc.identifier.urihttps://pubmed.ncbi.nlm.nih.gov/32351580/
dc.identifier.urihttps://repository.nih.gov.my/handle/123456789/1012
dc.language.isoen
dc.relation.ispartofJournal of Environmental and Public Health
dc.relation.issn1687-9805
dc.relation.journalThe 40th Asian Conference on Remote Sensing
dc.subjectPM10
dc.subjectPopulation
dc.subjectAir quality
dc.subjectMalaysia
dc.titleEffects of Population Weighting on PM 10 Concentration Estimation
dc.typejournal-article
dspace.entity.typePublication
oaire.citation.volume2020
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