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Multiple regression analysis in modeling of columnar ozone in Peninsular Malaysia

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Abstract

This study aimed to predict monthly columnar ozone (O3) in Peninsular Malaysia by using data on the concentration of environmental pollutants. Data (2003–2008) on five atmospheric pollutant gases (CO2, O3, CH4, NO2, and H2O vapor) retrieved from the satellite Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) were employed to develop a model that predicts columnar ozone through multiple linear regression. In the entire period, the pollutants were highly correlated (R = 0.811 for the southwest monsoon, R = 0.803 for the northeast monsoon) with predicted columnar ozone. The results of the validation of columnar ozone with column ozone from SCIAMACHY showed a high correlation coefficient (R = 0.752–0.802), indicating the model’s accuracy and efficiency. Statistical analysis was utilized to determine the effects of each atmospheric pollutant on columnar ozone. A model that can retrieve columnar ozone in Peninsular Malaysia was developed to provide air quality information. These results are encouraging and accurate and can be used in early warning of the population to comply with air quality standards.

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Acknowledgments

The authors would like to thank IUP, University of Bremen, for providing the SCIAMACHY data. This project was carried out with financial support from RUI, Investigation Of The Impacts Of Summertime Monsoon Circulation To The Aerosols Transportation And Distribution In Southeast Asia Which Can Lead To Global Climate Change, 1001/PFIZIK/811228 and Science Fund, Environmental Effects And Its Influence of Increased Green House Gasses In Peninsular Malaysia, 305/PFIZIK/613615. Thanks are also extended to USM for its support and encouragement and to the USM technical staff for their support and cooperation.

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  1. School of Physics, Universiti Sains Malaysia, 11800, Penang, Malaysia

    K. C. Tan, H. S. Lim & M. Z. Mat Jafri

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  1. K. C. Tan
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  2. H. S. Lim
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  3. M. Z. Mat Jafri
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Correspondence to K. C. Tan.

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Tan, K.C., Lim, H.S. & Mat Jafri, M.Z. Multiple regression analysis in modeling of columnar ozone in Peninsular Malaysia. Environ Sci Pollut Res 21, 7567–7577 (2014). https://doi.org/10.1007/s11356-014-2697-y

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