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http://hdl.handle.net/2074/1505
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| Title: | A review of deterministic, stochastic and hybrid vehicular exhaust emission models |
| Authors: | Gokhale, Sharad
Khare, Mukesh |
| Keywords: | Vehicular exhausts
Statistical models
Statistical distribution models
Hybrid models
Probability distributions
Episodic conditions |
| Issue Date: | 2004 |
| Citation: | International Journal of Transport Management, 2(2), 59-74 |
| Abstract: | Vehicles spend more time near junctions and intersections in different driving modes, i.e., queuing, decelerating or accelerating and thus generating more pollutants than at road links [Claggett, M., Shrock, J., Noll, K.E., 1981. Carbon monoxide near an urban intersection. Atmos. Environ. 15, 1633–1642]. As a result, the receptors in these urban corridors are prone to frequent exposures of high pollutant concentrations (episodic conditions). In order to predict such ‘episodes’, an air quality model, capable of estimating the entire range (middle and extremes) of pollutant concentration distribution is needed. Hybrid models (combining deterministic and statistical distribution models) have demonstrated the ability to predict the entire range of pollutant concentrations in such co mplex dispersion situations with reasonable accuracy [Jakeman, A., Simpson, R.W., Taylor, J.A., 1988. Modelling distributions of air pollutant concentrations-III: Hybrid modelling deterministic-statistical dist... |
| URI: | http://eprint.iitd.ac.in/dspace/handle/2074/1505 |
| Appears in Collections: | Civil Engineering
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| gokhalerev2004.pdf | | 779Kb | Adobe PDF | View/Open |
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