TIME SERIES MODEL FOR CARBON MONOXIDE (CO) AT SEVERAL INDUSTRIAL SITES IN PENINSULAR MALAYSIA
DOI:
https://doi.org/10.24191/mjoc.v4i1.5550Keywords:
Carbon Monoxide, Time series, Prediction Model, Air PollutionAbstract
Malaysia is reported to experience explosive rise in the demand of transport vehicles in recent years due to rapid economic development and population growth. As a result, air pollution is expected to increase in conjunction with the increase in the number of the vehicles. In particular, Carbon Monoxide (CO) has been identified as the main component of the emission sources from vehicles other than Nitrogen Oxide (NOx), hydrocarbon lead and particulate matter of size less than 10 micron (PM10). This provides the reason why CO concentration is often used to reflect traffic density in an area. CO has both short-term and long-term effect on human’s health. Thus, knowledge on CO behaviour and the future levels at an area is important to help decision makers in managing air pollution due to vehicles emission in the country. This study was conducted to describe CO data and to determine a suitable time series model to enable the prediction of CO levels at two industrial sites; Perai and Pasir Gudang, Malaysia. The model obtained could help management to mitigate CO pollution at the sites. The analysis was conducted using daily maximum data which was obtained from the Department of Environment Malaysia from 2010 to 2014. The performance of the best model was determined using several performance measures such as MAE, RMSE and MAPE. The study has found that the most appropriate time series model for Perai is ARIMA (3,1,1) and for Pasir Gudang is SARIMA (2, 1, 8) (1, 1, 2)7
References
Afroz, R., Hassan, M.N. and Ibrahim, N.A. 2003. Review of air pollution and health impacts in Malaysia. Environmental Research. 92(2), 71-77.
Afsaneh, A. Trends and Prediction of Air Pollutants in Pasir Gudang Industrial Area, Johor. 2014.
PhD thesis, UTM, Johor. http://dms.library.utm.my:8080/vital/access/manage.
Azedah, G., Abdullah, A.M., Mande, K.H., Nazanin, A., Raziyeh, S., Aramesh, A. and Tahoora,
S.N. 2015. Review on CO2 Emission from Transport Sector in Malaysia. Journal of Environmental Science, Toxicology and Food Technology 9(5), 61-70.
Chen, R., Pan, G., Zhang, Y., Xu, Q., Zeng, G., Xu, X., Chen, B. and Kan, H. 2011. Ambient carbon monoxide and daily mortality in three Chinese cities: the China air pollution and health effects study (CAPES). Science of Total Environment 409(23), 4923–4928.
Fore, S. and Mbohwa, C.T. 2010. Cleaner Production for Environmental Conscious. Manufacturing in the Foundry Industry. Journal of Engineering Design and Technology 8(3), 314-333.
Hamid, A.H., Japeri, A.Z. Ul-Saufie. M. and Ahmat, H. 2017. Characteristic and Prediction of Carbon Moxide Concertration. MATEC Web of Conferences 103, 1-8.
Ibrahim, M.Z, Ismail, M., Zailan, R. and Lola, M.S. 2009. Forecasting and Time Series Analysis of Air pollutants in several area of Malaysia. American Journal environmental science 5(5), 625-632.
Lazim, M. A. 2007. Introductory Business Forecasting a practical approach (3rd ed.), Publisher UiTM.
MAA, Malaysia Automotive Association. 2016. Market Review for 2015 and Outlook for 2016, Press Conference, 21 January 2016.
Mah, P., Ihwal, N., & Azizan, N. 2018. Forecasting Fresh Water And Marine Fish Production In Malaysia Using Arima And Arfima Models. Malaysian Journal of Computing, 3(2), 81-92.
Mamat, M., Mashor, M.Y., Sadullah, A.F. and Saad, A.R. 2003. Carbon Monoxide Concentration Forecasting Using Hybrid Radial Basis Function Network. Proceeding of the International Conference on Robotices, Vision, Information and Signal Processing, Penang Malaysia.
Mahmoudzadeh, S., Othman, Z., Yazdani, A.M. and Bakar, A.A. 2013. Carbon Monoxide Prediction Using Artificial Newral Network and Imperialist Competitive Algorithm. Australian Journal of Basic and Applied Science 7(4), 735-744
Miller, K.A., Siscovick, D.S., Sheppard, L., Shephard, K., Sullivan, J.H., Anderson, G.L. and Kaufman, J.D. 2007. Long-Term Exposure to Air Pollution and Incidence of Cardiovascular Events in Woman. The New England of Medicine 356, 447-458.
Noresah, M.S. Private Vehicle Ownership and Transportation Planning in Malaysia. 2012. In proceedings of International Conference on Traffic and Transportation Engineering.
Pasca, M., Pascal, L., Bidondo, L.M, Cochet, A. Sarter, H. Stempfelet, M. and Wagner, V. A 2013. Review of the Epidemiological Methods Used to Investigate the Health Impacts of Air Pollution around Major Industrial Areas. Journal of Environmental and Public Health. 2013, 1-17
Raji, U., Mashor, M.Y. Adom, A.H., Ali, A.N. and Sadullah, A.F. 2005. Performance Comparison between HMLP, MLP and Recurrent Networks with Applications to Carbon Monoxide Concentrations Forecasting. WSEAS Transaction on System. 4(6), 812-820
Rathi, S., Cik Soh, S., & Akbarally, A. 2018. Coefficient Bounds For A Certain Subclass Of Close-To-Convex Functions Associated With The Koebe Function. Malaysian Journal of Computing, 3(2), 172-177.
Sembiring, R. W., Mohamad Zain, J., and Embong, A. 2010. “A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course”, Journal of Computing, Vol. 2, Issue 12 , December 2010, pp. 33-38.
Shuhaili, A.F. A., Ihsan, S. I., Faris, W. F. 2013. Air Pollution Study of Vehicles Emission In High Volume Traffic: Selangor, Malaysia As A Case Study. WSEAS TRANSACTIONS on SYSTEMS 2(12), 56-304
Xu, M., Duan, X., Wang, Z. and Pau, B. 2014. Effects of Pollution on Aquatics Ecology and Water quality Bio Assessment. Hydrobiology 729(1), 1-13
Yahya, N., Ali, A., Ishak, F. 2006. Air Pollution Index (API) and the Effect on Human Health: Case Study in Terengganu City, Terengganu, Malaysia. Paper submitted to the International Association for People-Environment Studies (IAPS) Conference, September 2006, Alexandria, Egypt.
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