Theses & Dissertations

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https://hdl.handle.net/20.500.14170/2002

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Browsing Theses & Dissertations by Subject "Air -- Pollution"
  • Publication
    Air quality assessment in Perlis
    ( 2017)
    Nurul Faizliyana Kamil
    The aim of this research is to determine the factor involved in air pollution in Perlis and to define the Multiple Linear Regression model for ozone concentration based on the variables involved in air pollution and also determine the characteristics of the variables. The observable data refer to the recorded hourly air quality data for 2003 until 2014 for Perlis that have been received from Air Quality Division of the Department of Environment, Ministry of Natural Resources and Environment of Malaysia. Data refer to hourly recorded data that involved five major pollutants and four meteorological variables. The variables are O3, CO, NO2, SO2, PM10, temperature, relative humidity, wind speed and wind direction. Since it involve with large data set, factor analysis is applied. Factor analysis classify the 9 variables into three factors and name the factor as human activities factor, wind factor and atmospheric factor. Based on the analysis, concentration of O3 show significant differences during daytime and night time. So that the data are separated into daytime and night time and then be applied with the multiple linear regression in order to model O3 concentration based on the air pollutants (CO, NO2, PM10, SO2) and meteorological variables(temperature, humidity, wind speed and wind direction). R2 values showed that 45.6% variation of O3 formation is explained by 7 independent variables during day time and 34.5% variation of O3 formation is explained by 7 independent variables during night time. The Multiple Linear Regression model was tested for goodness of fit using Mean Absolute Error Value and Normalized Absolute Error. The test showed that MLR model is best fit model for O3 formation during daytime compared to night time.
      3  14
  • Publication
    Factors contributing to air pollution levels using factor analysis
    ( 2015)
    Asmarini Mohamed
    The aims of this study is to determine the major factors and causes of air pollution levels within the four selected Malaysian air monitoring stations. The data were obtained from January 2008 to December 2012. The variables concerned are two meteorological factors (temperature and relative humidity) and four air pollutants (CO, PM10, O3 and NO2). The focus areas comprise of four different localities which are; Perai (S1- industrial), Shah Alam (S2-urban), Seberang Jaya (S3-suburban) and Jerantut (S4- control). Two statistical methods were selected to analyze the datasets which are descriptive statistical analysis and factor analysis. The descriptive statistical analysis showed that Perai recorded the highest concentrations of CO, O3 and NO2 while Seberang Jaya recorded the highest concentration of PM10. The results of the factor analysis showed that there were three factors at Perai, Shah Alam and Jerantut while two factors at Seberang Jaya. However, the combination of the components in each factors are different for every station. Nevertheless, it has a significant combination of the components at Perai where it can be categorized as an Organic Pollution Factor, Meteorological Factor and Fuel Factor. These results present a guideline to establish evaluations appropriate to pollution characteristics and classification systems for air quality monitoring stations in Malaysia.
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