|
UPSI Digital Repository (UDRep)
|
|
| ||||||||||||||||
| Abstract : |
| This study focuses on the analysis and prediction of hourly ozone (O3) pollution in one of Malaysian urban area namely Shah Alam through chaotic approach. This approach begins by detecting the chaotic behavior of the O3 pollution using phase space plot and Cao method. Then, the local mean approximation method is used for prediction purposes. The O3 pollution observed at Shah Alam is detected as chaotic in behavior. Due to the chaotic behavior, only short-term prediction is allowed. Thus, the one-hour ahead prediction is done through the local mean approximation method. The prediction result shows that correlation coefficient value between the observed and predicted time series is near to one. This excellent prediction result shows in particular that the local mean approximation method can be used to predict the O3 pollution in urban area. In general, chaotic approach is a useful approach that can be used to analyze and predict the O3 pollution time series. |
| References |
1. Madaniyazi, L., Nagashima, T., Guo, Y., Pan, X., Tong, S. Projecting ozone-related mortality in East China (2016) Environment International, 92-93, pp. 165-172. Cited 14 times. www.elsevier.com/locate/envint doi: 10.1016/j.envint.2016.03.040 2. Cakmak, S., Hebbern, C., Vanos, J., Crouse, D.L., Burnett, R. Ozone exposure and cardiovascular-related mortality in the Canadian Census Health and Environment Cohort (CANCHEC) by spatial synoptic classification zone (Open Access) (2016) Environmental Pollution, 214, pp. 589-599. Cited 24 times. www.elsevier.com/inca/publications/store/4/0/5/8/5/6 doi: 10.1016/j.envpol.2016.04.067 3. Abarbanel, H.D.I. (1996) Analysis of Observed Chaotic Data, pp. 15-16. Cited 1845 times.(New York: Springer-Verlag) 4. Sprott, J.C.(2003) Chaos and Time-Series Analysis, pp. 104-105. Cited 1242 times. (Oxford University Press) 5. Cuculeanu, V., Rada, C., Lupu, A. (2009) Geophysique., 52-53, pp. 77-85. Cited 3 times. 6. Chattopadhyay, G., Chattopadhyay, S. A probe into the chaotic nature of total ozone time series by correlation dimension method (2008) Soft Computing, 12 (10), pp. 1007-1012. Cited 18 times. doi: 10.1007/s00500-007-0267-7 7. Chelani, A.B. Nonlinear dynamical analysis of ground level ozone concentrations at different temporal scales (2010) Atmospheric Environment, 44 (34), pp. 4318-4324. Cited 10 times.doi: 10.1016/j.atmosenv.2010.07.028 8. Petkov, B.H., Vitale, V., Mazzola, M., Lanconelli, C., Lupi, A. Chaotic behaviour of the short-term variations in ozone column observed in Arctic (2015) Communications in Nonlinear Science and Numerical Simulation, 26 (1-3), pp. 238-249. Cited 11 times. doi: 10.1016/j.cnsns.2015.02.020 9. Cao, L. Practical method for determining the minimum embedding dimension of a scalar time series (1997) Physica D: Nonlinear Phenomena, 110 (1-2), pp. 43-50. Cited 1100 times. doi: 10.1016/S0167-2789(97)00118-8 10. Sivakumar, B. A phase-space reconstruction approach to prediction of suspended sediment concentration in rivers (2002) Journal of Hydrology, 258 (1-4), pp. 149-162. Cited 84 times. doi: 10.1016/S0022-1694(01)00573-X 11. Frazier, C., Kockelman, K.M. Chaos theory and transportation systems: Instructive example (2004) Transportation Research Record, (1897), pp. 9-17. Cited 42 times. http://journals.sagepub.com/toc/TRR/current doi: 10.3141/1897-02 12. Sri Lakshmi, S., Tiwari, R.K. Model dissection from earthquake time series: A comparative analysis using modern non-linear forecasting and artificial neural network approaches (2009) Computers and Geosciences, 35 (2), pp. 191-204. Cited 27 times. doi: 10.1016/j.cageo.2007.11.011 13. Ghazali, N.A., Ramli, N.A., Yahaya, A.S., Yusof, N.F.F.M., Sansuddin, N., Al Madhoun, W.A. Transformation of nitrogen dioxide into ozone and prediction of ozone concentrations using multiple linear regression techniques (2010) Environmental Monitoring and Assessment, 165 (1-4), pp. 475-489. Cited 52 times. doi: 10.1007/s10661-009-0960-3 14. Muhamad, M., Ul-Saufie, A.Z., Deni, S.M. Three days ahead prediction of daily 12 hour ozone (O3) concentrations for urban area in malaysia (Open Access) (2015) Journal of Environmental Science and Technology, 8 (3), pp. 102-112. Cited 3 times. http://docsdrive.com/pdfs/ansinet/jest/2015/102-112.pdf doi: 10.3923/jest.2015.102.112 15. Tan, K.C., Lim, H.S., Jafri, M.Z.M. (2016) Atmos. Pollut. Res., pp. 1-14. Cited 2 times. 16. Koçak, K., Şaylan, L., Şen, O. Nonlinear time series prediction of O 3 concentration in Istanbul (2000) Atmospheric Environment, 34 (8), pp. 1267-1271. Cited 52 times. doi: 10.1016/S1352-2310(99)00323-4 17. Chen, J.-L., Islam, S., Biswas, P. Nonlinear dynamics of hourly ozone concentrations: Nonparametric short term prediction (1998) Atmospheric Environment, 32 (11), pp. 1839-1848. Cited 90 times. doi: 10.1016/S1352-2310(97)00399-3 18. Hamid, N.Z.A., Noorani, M.S.M. (2013) Int. J. Math. Comput. Sci. Eng., 7, pp. 206-211. Cited 4 times. 19. Latif, M.T., Huey, L.S., Juneng, L. Variations of surface ozone concentration across the Klang Valley, Malaysia (2012) Atmospheric Environment, 61, pp. 434-445. Cited 46 times. doi: 10.1016/j.atmosenv.2012.07.062 20. Özbay, B., Keskin, G.A., Doǧruparmak, Ş.Ç., Ayberk, S. Multivariate methods for ground-level ozone modeling (2011) Atmospheric Research, 102 (1-2), pp. 57-65. Cited 31 times. doi: 10.1016/j.atmosres.2011.06.005 21. Toh, Y.Y., Lim, S.F., von Glasow, R. The influence of meteorological factors and biomass burning on surface ozone concentrations at Tanah Rata, Malaysia (2013) Atmospheric Environment, 70, pp. 435-446. Cited 31 times. doi: 10.1016/j.atmosenv.2013.01.018 22. Inal, F. Artificial Neural Network Prediction of Tropospheric Ozone Concentrations in Istanbul, Turkey (2010) Clean - Soil, Air, Water, 38 (10), pp. 897-908. Cited 8 times. http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291863-0669 doi: 10.1002/clen.201000138 23. Hamid, N.Z.A., Noorani, M.S.M. A pilot study using chaotic approach to determine characteristics and forecasting of PM10 concentration time series (2014) Sains Malaysiana, 43 (3), pp. 475-481. Cited 7 times. http://www.ukm.my/jsm/pdf_files/SM-PDF-43-3-2014/19%20Nor%20Zila.pdf |
| This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |