EPrints@IIT Delhi : Item 2074/771

Please use this identifier to cite or link to this item: http://hdl.handle.net/2074/771

Full metadata record

DC Field	Value	Language
contributor.author	Sharma, Prateek	-
contributor.author	Khare, Mukesh	-
date.accessioned	2005-08-13T07:47:46Z	-
date.available	2005-08-13T07:47:46Z	-
date.issued	2000	-
identifier.citation	Transportation Research Part D, 5(1), 59-69	en
identifier.uri	http://eprint.iitd.ac.in/dspace/handle/2074/771	-
description.abstract	Historical data of the time-series of carbon monoxide (CO) concentration was analysed using Box-Jenkins modelling approach. Univariate Linear Stochastic Models (ULSMs) were developed to examine the degree of prediction possible for situations where only a limited data set, restricted only to the past record of pollutant data are available. The developed models can be used to provide short-term, real-time forecast of extreme CO concentrations for an Air Quality Control Region (AQCR), comprising a major traffic intersection in a Central Business District of Delhi City, India.	en
format.extent	275524 bytes	-
format.mimetype	application/pdf	-
language.iso	en	en
subject	Box-Jenkins models	en
subject	Linear stochastic models	en
subject	Extreme values	en
subject	Time-series analysis	en
subject	Real-time forecasting	en
subject	Episodes	en
title	Real-time prediction of extreme ambient carbon monoxide concentrations due to vehicular exhaust emissions using univariate linear stochastic models	en
type	Article	en
Appears in Collections:	Civil Engineering

Files in This Item:

File	Description	Size	Format
shermarea2000.pdf		269Kb	Adobe PDF	View/Open