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| Abstract : Universiti Pendidikan Sultan Idris |
| This study focused on development of PM10 pollutant forecasting model at different geographical areas namely background (Jerantut, Pahang), industrial (Bukit Rambai, Malacca) and urban (Klang, Selangor) through phase space reconstruction approach. Firstly, PM10 pollutant is reconstructed into a multi-dimensional phase space. Then, the reconstruct phase space is used to forecast future PM10 pollutant. Comparison with traditional approach of autoregressive linear through mean absolute error and root mean squared error showed that phase space reconstruction approach is better. Furthermore, values of correlation coefficient showed that PM10 pollutant is forecasted well through phase space reconstruction approach. In conclusion, development of PM10 pollutant forecasting models at different geographical areas are success. These findings are expected to help stakeholders in having a better PM10 pollutant management. |
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