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Streamlining environmental monitoring networks: Application to nitrogen dioxide in north Italy

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dc.contributor.author Saisana, M en
dc.contributor.author Dubois, G en
dc.contributor.author Chaloulakou, A en
dc.contributor.author Kassomenos, P en
dc.contributor.author Spyrellis, N en
dc.date.accessioned 2014-03-01T01:19:34Z
dc.date.available 2014-03-01T01:19:34Z
dc.date.issued 2003 en
dc.identifier.issn 02329298 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/15583
dc.subject Fractal dimension en
dc.subject Indicator semivariogram en
dc.subject Network design en
dc.subject Risk mapping en
dc.subject.other Fractals en
dc.subject.other Information analysis en
dc.subject.other Monitoring en
dc.subject.other Nitrogen compounds en
dc.subject.other Risk assessment en
dc.subject.other Fractal dimension en
dc.subject.other Indicator semivariogram en
dc.subject.other Network design en
dc.subject.other Risk mapping en
dc.subject.other Environmental engineering en
dc.title Streamlining environmental monitoring networks: Application to nitrogen dioxide in north Italy en
heal.type journalArticle en
heal.identifier.primary 10.1080/0232929031000136153 en
heal.identifier.secondary http://dx.doi.org/10.1080/0232929031000136153 en
heal.publicationDate 2003 en
heal.abstract This article presents a methodology for streamlining a monitoring network. The approach shows that risk maps, which provide decision-makers with the probabilities of a pollutant to be above a regulatory threshold, can also be used to identify monitoring stations that are providing redundant information. The method is applied to an air quality network of 102 stations monitoring nitrogen dioxide (NO2) concentrations in north Italy. The limitations of the network have first been identified in order to specify the annual concentration levels for which reliable risk maps can be designed. This has been achieved by a fractal analysis of the spatial correlation for several NO 2 concentration levels. Two predefined annual thresholds at 40 and 50μg/m3 were used as reference to investigate the possible redundancy of the information provided by the existing network. It was shown that the number of stations could be reduced by almost 20% without losing any information with respect to describing the annual pollution levels. en
heal.journalName Systems Analysis Modelling Simulation en
dc.identifier.doi 10.1080/0232929031000136153 en
dc.identifier.volume 43 en
dc.identifier.issue 2 en
dc.identifier.spage 241 en
dc.identifier.epage 250 en


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