Dynamic simulation of airborne pollutant concentrations associated with the effect of climate change in Batu Muda region, Malaysia

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dc.contributor.authorCedric Lemuel Lee
dc.contributor.authorWong Yong Jie
dc.contributor.authorSenthil Kumar Arumugasamy
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-10T03:25:01Z
dc.date.available2024-05-10T03:25:01Z
dc.date.issued2022
dc.description.abstractAir pollution has been a rising concern of the 21st due to its effects to public health. Air Monitoring Stations are state-of-the-art equipment used to measure airborne pollutants concentration i.e. carbon monoxide, nitrogen oxide, sulphur dioxide, particulate matter (PM10) and ozone (O3), as well as the meteorological parameters (i.e. ambient air temperature, relative humidity, wind speed and wind direction). Effects of climate change will affect the ambient temperature and humidity, which may induce a direct effect on air quality. In light of this, feed forward artificial neural network was employed to simulate the dynamic variations of PM10 and O3 with relative humidity, temperature, and windspeed data being the inputs under 12 different training algorithms.
dc.identifier.citationLee, C. L., Jie, W. Y., & Arumugasamy, S. K. (2022). Dynamic simulation of airborne pollutant concentrations associated with the effect of climate change in Batu Muda region, Malaysia. Modeling Earth Systems and Environment, 1-16.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/502
dc.language.isoen
dc.publisherSpringer
dc.publisher.alternativeModeling Earth Systems and Environment
dc.subjectArtifcial neural network
dc.subjectMultiple input multiple output
dc.subjectClimate change
dc.subjectAir pollution
dc.subjectOzone
dc.subjectParticulate matter
dc.titleDynamic simulation of airborne pollutant concentrations associated with the effect of climate change in Batu Muda region, Malaysia
dc.typeJournal

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