Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76050
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKannika Jarernwongen_US
dc.contributor.authorShabbir H. Gheewalaen_US
dc.contributor.authorSate Sampattagulen_US
dc.date.accessioned2022-10-16T07:04:42Z-
dc.date.available2022-10-16T07:04:42Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn22839216en_US
dc.identifier.other2-s2.0-85122528570en_US
dc.identifier.other10.3303/CET2189039en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122528570&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76050-
dc.description.abstractAmbient Particulate Matter; PM2.5, with an aerodynamic diameter smaller than or equal to 2.5 μm, has emerged as the most critical health hazard concerning air pollution. The small size enables ambient particulate matter to go through the respiratory system, easily entering the lung or blood stream. Chiang Mai is one of the cities with the highest level of PM2.5 that exceeds the standard level of PM2.5 concentration (10μg/m3, recommended by the World Health Organization). High concentration levels have severe consequences for the health of the population in Chiang Mai. The objective of this study is to estimate the risk area of health impact due to exposure to PM2.5 in Chiang Mai. This study illustrates the data of PM2.5 concentration gathered from ground-based monitoring sites named DustBoy and data of hospital admissions from the Chiang Mai Provincial Public Health to reveal the population exposure related to human health effects such as heart diseases, chronic obstructive pulmonary disease, lung cancer, cardiovascular disease. In addition, correlation coefficient is employed to estimate the relationship between population exposure to the high ambient PM2.5 and the health effect due to PM2.5 pollution. The results are presented in the Chiang Mai Risk Map as a spatial pattern of population exposure using the spatial distribution method. These results support the high correlation between population exposure to PM2.5 and health impact and strongly suggest priority areas to prevent and control air pollution and social equality in health.en_US
dc.subjectChemical Engineeringen_US
dc.titleHealth Risk Map related to Particulate Matter Exposure in Chiang Mai, Thailanden_US
dc.typeJournalen_US
article.title.sourcetitleChemical Engineering Transactionsen_US
article.volume89en_US
article.stream.affiliationsKing Mongkut's University of Technology Thonburien_US
article.stream.affiliationsMinistry of Higher Education, Science, Research and Innovationen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.