Air quality predictions: Dispersion model vs Box-Jenkins stochastic models. An implementation and comparison for Athens, Greece

Polydoras, GN; Anagnostopoulos, JS; Bergeles, GCh

dc.contributor.author	Polydoras, GN	en
dc.contributor.author	Anagnostopoulos, JS	en
dc.contributor.author	Bergeles, GCh	en
dc.date.accessioned	2014-03-01T01:13:33Z
dc.date.available	2014-03-01T01:13:33Z
dc.date.issued	1998	en
dc.identifier.issn	1359-4311	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12563
dc.subject	Air quality prediction	en
dc.subject	Athens	en
dc.subject	Box-jenkins stochastic models	en
dc.subject	CO concentrations	en
dc.subject	Dispersion models	en
dc.subject	SO2 concentrations	en
dc.subject.classification	Thermodynamics	en
dc.subject.classification	Energy & Fuels	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.classification	Mechanics	en
dc.subject.other	Air pollution control	en
dc.subject.other	Carbon monoxide	en
dc.subject.other	Mathematical models	en
dc.subject.other	Random processes	en
dc.subject.other	Sulfur dioxide	en
dc.subject.other	Air quality prediction	en
dc.subject.other	Box-Jenkins stochastic models	en
dc.subject.other	Dispersion models	en
dc.subject.other	Air quality	en
dc.title	Air quality predictions: Dispersion model vs Box-Jenkins stochastic models. An implementation and comparison for Athens, Greece	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S1359-4311(98)00016-7	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S1359-4311(98)00016-7	en
heal.language	English	en
heal.publicationDate	1998	en
heal.abstract	This paper presents a comparison between the air quality predictions obtained by the use of a dispersion model and univariate Box-Jenkins stochastic models. These two different approaches are implemented in order to predict the hourly mean values of concentration for CO and SO2 in three different locations of the wider Athens area. The air pollutants predictions are compared with the observed values of concentrations, from the existing air quality monitoring network. In this way certain criteria are calculated and the predicting capability of the two approaches is evaluated for the specific case of the urban area of Athens, Greece. Finally the implementation of the two approaches in practice is considered and the advantages/disadvantages of both approaches are determined and discussed. (C) 1998 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Applied Thermal Engineering	en
dc.identifier.doi	10.1016/S1359-4311(98)00016-7	en
dc.identifier.isi	ISI:000075530600011	en
dc.identifier.volume	18	en
dc.identifier.issue	11	en
dc.identifier.spage	1037	en
dc.identifier.epage	1048	en