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Browsing Air by Subject "Air pollution"

Now showing 1 - 6 of 6
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    Children's exposure to air pollution in a natural gas industrial area and their risk of hospital admission for respiratory diseases
    (Elsevier, 2022) Mohd Faiz Ibrahim; Rozita Hod; Muhammad Abdul Basit Ahmad Tajudin; Wan Rozita Wan Mahiyuddin; Azmawati Mohammed Nawi; Mazrura Sahani
    This study aimed to explore the relationship between short-term exposure to air pollution and hospital admissions for respiratory diseases among children in a natural gas industrial area in Bintulu, Malaysia. Daily hospital admissions for respiratory diseases among children were collected from a hospital in Bintulu from 2010 to 2019. Data on six air pollutants (PM10, PM2.5, SO2, NO2, O3, and CO) in the study area were obtained from the Department of Environment Malaysia.
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    Concentrations of PAHs in atmospheric particles (PM-10) and roadside soil particles collected in Kuala Lumpur, Malaysia
    (Elsevier, 2002) Nasr Yousef M.J. Omar; M. Radzi Bin Abas; Kamal Aziz Ketuly; Norhayati Mohd. Tahir
    The concentrations of polycyclic aromatic hydrocarbons (PAHs) in atmospheric particles and roadside soil particles were measured at eight locations in the city center and the suburb of Kuala Lumpur, Malaysia. Atmospheric particleswere collected using high-volume PM-10 sampler on glass fiber filters over 24 h average sampling period. Both types of samples were extracted with dichloromethane by ultrasonic agitation. The extracts were then fractionated on an alumina-silica column and the aromatic fraction was subjected to gas chromatography-mass spectrometric (GC-MS) analysis.
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    Dynamic simulation of airborne pollutant concentrations associated with the effect of climate change in Batu Muda region, Malaysia
    (Springer, 2022) Cedric Lemuel Lee; Wong Yong Jie; Senthil Kumar Arumugasamy
    Air 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.
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    Modeling the stochastic dependence of air pollution index data
    (Springer, 2018) Yousif Alyousifi; Nurulkamal Masseran; Kamarulzaman Ibrahim
    The air pollution index (API) is a common tool, which is often used for determining the quality of air in the environment. In this study, a discrete-time Markov chain model is applied for describing the stochastic behaviour of API data. The study reported in this paper is conducted based on the data collected from Klang city in Malaysia for a period of 3 years (2012-2014)
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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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    Statistical analysis of air pollution in the Klang Valley
    (UMS, 1999) Ahmad Shukri Yahaya; Noormala Mohd Yusooff
    The first part of this paper looks at the level of air pollution in the Klang Valley by considering two components of air pollutants that is suspended particulate matter and lead particles. The level of air pollution in traffic areas, commercial areas, industrial areas and residential areas were compared.The second part of this study, the analysis was concentrated on air pollution by heavy metals like plumbum (Pb), ferrum (Fe), cuprum (Cu), sodium (Na), calcium (Ca), aluminium (Al) and nickel (Ni). Factor analysis by principal component methid was used to identitfy the source of pollution by these heavy metals.