Sains Malaysiana 40(5)(2011): 411–417

 

Time Series Analysis of Surface Ozone Monitoring Records in Kemaman, Malaysia

(Analisis Siri Masa bagi Rekod Permonitoran Ozon Permukaan di Kemaman, Malaysia)

 

Marzuki Ismail*, Mohd Zamri Ibrahim & Tg. Azmina Ibrahim

Department of Engineering Science, Faculty of Science and Technology

Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia

 

Ahmad Makmon Abdullah

Department of Environmental Science, Faulty of Environmental Studies

Universiti Putra Malaysia, 43300 Serdang, Selangor, Malaysia

 

Diserahkan: 30 March 2010 / Diterima: 29 September 2010

 

ABSTRACT

 

Time series analysis and forecasting has become a major tool in many applications in air pollution and environmental management fields. Among the most effective approaches for analyzing time series data is the model introduced by Box and Jenkins, ARIMA (Autoregressive Integrated Moving Average). In this study we used Box-Jenkins methodology to build ARIMA model for monthly ozone data taken from an Automatic Air Quality Monitoring System in Kemaman station for the period from 1996 to 2007 with a total of 144 readings. Parametric seasonally adjusted ARIMA (0,1,1) (1,1,2)12 model was successfully applied to predict the long-term trend of ozone concentration. The detection of a steady statistical significant upward trend for ozone concentration in Kemaman is quite alarming. This is likely due to sources of ozone precursors related to industrial activities from nearby areas and the increase in road traffic volume.

 

Keywords: ARIMA; seasonal variation; surface ozone; time series analysis

 

ABSTRAK

 

Analisis siri masa dan model peramalan telah menjadi kaedah utama di dalam banyak aplikasi bidang pencemaran udara dan pengurusan alam sekitar. Antara kaedah paling efektif bagi menganalisis data siri masa adalah model ARIMA yang diperkenalkan oleh Box dan Jenkins. Dalam kajian ini, kami menggunakan metodologi Box dan Jenkins untuk membina model data bulanan ozon yang diperoleh dari Sistem Pemantauan Kualiti Udara Otomatik di stesen Kemaman dari 1996 hingga 2007 dengan jumlah 144 bacaan data. Model berparameter ARIMA terlaras secara bermusim (0,1,1) (1,1,2)12 telah berjaya diaplikasi bagi meramal arah aliran jangka panjang kepekatan ozon. Pengesanan secara mantap tambahan berkesan arah aliran meningkat bagi kepekatan ozon di Kemaman adalah agak membimbangkan. Ini berkemungkinan besar disebabkan oleh pelopor-pelopor ozon yang berkaitan dengan aktiviti perindustrian di kawasan berhampiran dan juga pertambahan jumlah lalu lintas jalan.

Kata kunci: Analisis siri masa; ARIMA; ozon permukaan; variasi bermusim

 

RUJUKAN

 

Afroz, R., Hassan, M.N. & Ibrahim, N.A. 2003. Review of air pollution and health impacts in Malaysia. Journal of Environmental Research 92(2): 71-77.

Angle, R.P. & Sandhu, H.S. 1989. Urban and Rural Ozone Concentrations in Alberta, Canada. Atmospheric Environment 23: 215- 221.

Bencala, K.E. & Seinfield, J.H. 1979. On Frequency distribution of air pollutant concentrations. Atmospheric Environment 10: 941-950.

Chan, C.Y. & Chan, L.Y. 2000. The effect of meteorology and air pollutant transport on ozone episodes at a subtropical coastal asian city, Hong Kong. Journal of Geophysical Research 105: 20707-20719.

Colbeck, I. & MacKenzie, A.R. 1994. Air Quality Monographs, Air Pollution by Photochemical Oxidants. Vol.1. Amsterdam: Elsevier, pp. 107-71.

Gerosa G., Ferretti M., Bussotti F. & Rocchini D. 2007. Estimates of ozone AOT40 from passive sampling in forest sites in South-Western Europe. Environmental Pollution145(3): 629-635

Gouveia, N. & Fletcher, T. 2000. Time series analysis of air pollution and mortality: Effects by cause, age and socioeconomic status. Journal of Epidemiology and Community Health 54: 750-755.

Hertzberg, A.M. & Frew, L. 2003. Can public policy be influenced?. Environmetrics 14(1): 1-10.

Hies, T., Treffeisen, R., Sebald, L. & Reimer, E. 2003. Spectral analysis of air pollutants. Part I: Elemental carbon time series. Atmospheric Environment 34: 3495-3502.

Hong, W. 1997. A Time Series Analysis of United States Carrots Exports to Canada. MSc Thesis, North Dakota State University.

Kocak, K., Saylan, L. & Sen, O. 2000. Nonlinear time series prediction of O3 concentration in Istanbul. Atmospheric Environment 34: 1267-1271.

Kyriakidis, P.C. & Journal, A.G. 2001. Stochastic modelling of atmospheric pollution: A special time series framework, part II: Application to monitoring monthly sulfate deposition over Europe. Atmospheric Environment 35: 2339-2348.

Lee, C.K. 2002. Multiracial Characteristics in air pollutant concentration time series. Journal of Water, Air & Soil Pollution 135: 389-409.

Liu, C.M., Hung, C.Y., Shieh, S.L. & Wu, C.C. 1994. Important meteorological parameters for ozone episodes experienced in the Taipei basin. Atmospheric Environment 28: 159-173.

Lorenzini, G., Nali, C. & Panicucci, A. 1994. Surface ozone in Pisa (Italy): A six year study. Atmospheric Environment 28: 3155-3164.

Mills, G., Buse, A., Gimeno, B., Bermejo, V., Holland, M., Emberson, L. & Pleijel, H. 2007. A synthesis of AOT40-based response functions and critical levels of ozone for agricultural and horticultural crops. Atmospheric Environment 41: 2630-2643

Naill, P.E. & Momani, M. 2009. Time series analysis model for rainfall data in Jordan: Case study for using time series analysis. American Journal of Environmental Sciences 5(5): 599-604.

Roberts, S. 2003. Combining data from multiple monitors in air pollution mortality time series studies. Atmospheric Environment 35: 2339-2348.

Salcedo, R.L.R., Alvim, F.M., Alves, C. & Martins, F. 1999. Time series analysis of air pollution data. Atmospheric Environment 33: 2361-2372.

Schwartz, J. & Marcus, A. 1990. Mortality and air pollution in London: A time series analysis. American Journal of Epidemiology 131: 85-194.

Touloumi, G., Atkinson, R. & Terte, A.L. 2004. Analysis of health outcome time series data in epidemiological studies. Environmetrics 15: 101-117.

Wu, H.W.Y. & Chan, L.Y. 2001. Surface ozone trends in Hong Kong in 1985-1995. Journal of Environmental International 26: 213-222.

Yee, E. & Chen, R. 1997. A simple model for probability density functions of concentration fluctuations in atmospheric plumes. Atmospheric Environment 31: 991-1002.

 

*Pengarang untuk surat-menyurat; email: marzuki@umt.edu.my