Abstract
State space model coupled with Kalman filter is used toforecast metal concentrations observed at Delhi. Three metalsviz. Lead, Iron, Zinc along with Respirable SuspendedParticulate Matter (RSPM) Concentration observed during 1993to 1995 are selected for the study. The data for year 1996is selected to test the forecasting ability of the model.Wind speed is used as an external input. Autoregressive modelwith external input is also used to compare the results. Itis found that the State space model is giving betterpredictions for lead, iron and RSPM concentration than theARX model while for zinc concentration, both the models aregiving good performance results.
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Chelani, A.B., Gajghate, D.G., Tamhane, S.M. et al. Statistical Modeling of Ambient Air Pollutants in Delhi. Water, Air, & Soil Pollution 132, 315–331 (2001). https://doi.org/10.1023/A:1013204120867
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DOI: https://doi.org/10.1023/A:1013204120867