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Browsing Air by Subject "Air quality"

Now showing 1 - 5 of 5
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    Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear regression, and support vector regression
    (Elsevier, 2022) Abdul-Lateef Balogun; Abdulwaheed Tella
    Climate change is generally known to impact ozone concentration globally. However, the intensity varies across regions and countries. Therefore, local studies are essential to accurately assess the correlation of climate change and ozone concentration in different countries. This study investigates the effects of climatic variables on ozone concentration in Malaysia in order to understand the nexus between climate change and ozone concentration. The selected data was obtained from ten (10) air monitoring stations strategically mounted in urban-industrial and residential areas with significant emissions of pollutants. Correlation analysis and four machine learning algorithms (random forest, decision tree regression, linear regression, and support vector regression) were used to analyze ozone and meteorological dataset in the study area.
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    Prediction of Multivariate Air Quality Time Series Data using Long Short-Term Memory Network
    (Penerbit UTM Press, 2022) Mohd Aftar Abu Bakara; Noratiqah Mohd Ariff; Mohd Shahrul Mohd Nadzir; Ong Li Wen; Fatin Nur Afiqah Suris
    In this study, the air quality model based on the Long Short-Term Memory Network (LSTM) and Auto-Regressive Integrated Moving Average (ARIMA) was developed. The prediction of the particulate matter 10 micrometers or less in diameter (PM10) in Malaysia could be made from both models, and their performance was compared. The purpose of comparison between the two models was to determine the most suitable model to use in predicting PM10 since it is the dominant pollutant in Malaysia most of the time, especially during the haze period. This study used air quality data obtained from the Department of Environment Malaysia from July 2017 to June 2019.
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    Review of air pollution and health impacts in Malaysia
    (Elsevier, 2003) Rafia Afroz; Mohd Nasir Hassan; Noor Akma Ibrahim
    In the early days of abundant resources and minimal development pressures, little attention was paid to growing environmental concerns in Malaysia. The haze episodes in Southeast Asia in 1983, 1984, 1991, 1994, and 1997 imposed threats to the environmental management of Malaysia and increased awareness of the environment. As a consequence, the government established Malaysian Air Quality Guidelines, the Air Pollution Index, and the Haze Action Plan to improve air quality. Air quality monitoring is part of the initial strategy in the pollution prevention program in Malaysia. Review of air pollution in Malaysia is based on the reports of the air quality monitoring in several large cities in Malaysia, which cover air pollutants such as Carbon monoxide (CO), Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Ozone (O3), and Suspended Particulate Matter (SPM).
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    Spatial and Temporal Analysis of Particulate Matter (PM10) in Urban-Industrial Environment during Episodic Haze Events in Malaysia
    (Thai Society of Higher Eduation Institutes on Environment, 2023) Izzati Amani Mohd Jafri; Norazian Mohamed Noor; Nur Alis Addiena A Rahim; Ahmad Zia Ul-Saufie; Zulkarnain Hassan; György Deak
    Haze episode in Malaysia typically takes place during the dry monsoon season. As a result, high concentration of atmospheric particles was recorded primarily brought by transboundary air pollution from the neighbour country. Therefore, this study aims to evaluate and compare the level of particulate matter (PM10) at urban-industrial areas during the episodic haze episodes in Malaysia
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    The influence of meteorology and emissions on the spatio-temporal variability of PM10 in Malaysia
    (Elsevier, 2020) M. Alifa; D. Bolster; M.I. Mead; M.T. Latif; P. Crippa
    Equatorial Asia experiences frequent degraded air quality conditions, as a result of the complex interaction between the abundant air pollution sources and the local/regional meteorological patterns, which ultimately impact densely populated cities. Due to the scarcity of extensive observational datasets, both observational and modeling studies have been rather limited in their spatio-temporal extent and/or the certainty of their estimates. This study presents a country-wide, multi-decadal analysis of PM10 observations (i.e. particulate matter with aerodynamic diameter < 10μm) from a network in Malaysia comprising 52 monitoring sites, which allows a novel and comprehensive assessment of the spatio-temporal variability of the country's air quality.