P. Sharma et M. Khare, Real-time prediction of extreme ambient carbon monoxide concentrations dueto vehicular exhaust emissions using univariate linear stochastic models, TRANSP R D, 5(1), 2000, pp. 59-69
Citations number
13
Categorie Soggetti
Politucal Science & public Administration
Journal title
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
Historical data of the time-series of carbon monoxide (CO) concentration wa
s analysed using Box-Jenkins modelling approach. Univariate Linear Stochast
ic Models (ULSMs) were developed to examine the degree of prediction possib
le for situations where only a limited data set, restricted only to the pas
t 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 intersecti
on in a Central Business District of Delhi City, India. (C) 1999 Elsevier S
cience Ltd. All rights reserved.