Nonlinear Analysis and Prediction of Coarse Particulate Matter Concentration in Ambient Air
IR@NEERI: National Environment Engineering Research Institute
View Archive Info| Field | Value | |
| Title |
Nonlinear Analysis and Prediction of Coarse Particulate Matter Concentration in Ambient Air
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| Creator |
Chelani, Asha B
Devotta, Sukumar |
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| Subject |
Air Quality
Air Pollution Effects Air Pollution Control |
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| Description |
This study attempts to characterize and predict coarse particulate matter(PM10) concentration in ambient air using the concepts of nonlinear dynamical theory.PM10 data, India, was used to study the applicability of the chaos theory. First, the autocorrelation function and fourier power spectrum were used to analyze the behavior of the time-series.The dynamics of the timr-series was additionally studied through correlation integral analysis and phase space reconstruction. The nonlibear predictions were then obtained using local polynominal approximation based on the reconstructed phase space. The results were then compared with the autoregressive model. The results of nonlinear analysis indicated the presence of chaotic character in the PM10 time-series. It was also obsered that the nonlinear local approximation outperforms the autoregressive model, because the observed relative error of prediction for the autoregessive model was greater then the local approximation model. The invariant measures of nonlinear dynamics computed for the predicted time-series using the two models also supported the same findings.
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| Publisher |
Air and Waste Management Association
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| Date |
2006
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://neeri.csircentral.net/58/1/Chelani2.pdf
Chelani, Asha B and Devotta, Sukumar (2006) Nonlinear Analysis and Prediction of Coarse Particulate Matter Concentration in Ambient Air. Journal of Air and Waste Management Association, 56. pp. 78-84. ISSN 1047-3289 |
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| Relation |
http://neeri.csircentral.net/58/
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