Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/4833
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dc.contributor.authorSriram, G-
dc.contributor.authorMohan, N Krishna-
dc.contributor.authorGopalasamy, V-
dc.date.accessioned2009-06-26T05:28:38Z-
dc.date.available2009-06-26T05:28:38Z-
dc.date.issued2006-04-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/4833-
dc.description321-324en_US
dc.description.abstractOver the last three decades, strict environmental regulations and the availability of personal computers have fueled an immense use of mathematical models to predict the dispersion of air pollution plumes. This paper discusses how the propagation of seemingly small errors in the Gaussian model parameters can cause very large variations in the model’s predictions.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.relation.ispartofseriesG05B19/04en_US
dc.sourceJSIR Vol.65(04) [April 2006]en_US
dc.subjectGaussian Plume Modelen_US
dc.subjectOver prediction ratioen_US
dc.subjectSensitivity studyen_US
dc.titleSensitivity study of Gaussian dispersion modelsen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.65(04) [April 2006]

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