Literature DB >> 23538137

A computational fluid dynamic modelling approach to assess the representativeness of urban monitoring stations.

Jose Luis Santiago1, Fernando Martín, Alberto Martilli.   

Abstract

Air quality measurements of urban monitoring stations have a limited spatial representativeness due to the complexity of urban meteorology and emissions distribution. In this work, a methodology based on a set of computational fluid dynamics simulations based on Reynolds-Averaged Navier-Stokes equations (RANS-CFD) for different meteorological conditions covering several months is developed in order to analyse the spatial representativeness of urban monitoring stations and to complement their measured concentrations. The methodology has been applied to two urban areas nearby air quality traffic-oriented stations in Pamplona and Madrid (Spain) to analyse nitrogen oxides concentrations. The computed maps of pollutant concentrations around each station show strong spatial variability being very difficult to comply with the European legislation concerning the spatial representativeness of traffic-oriented air quality stations.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23538137     DOI: 10.1016/j.scitotenv.2013.02.068

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  A necessary distinction between spatial representativeness of an air quality monitoring station and the delimitation of exceedance areas.

Authors:  Maxime Beauchamp; Laure Malherbe; Chantal de Fouquet; Laurent Létinois
Journal:  Environ Monit Assess       Date:  2018-06-29       Impact factor: 2.513

2.  Representativeness of an air quality monitoring station for PM2.5 and source apportionment over a small urban domain.

Authors:  S Yatkin; M Gerboles; C A Belis; F Karagulian; F Lagler; M Barbiere; A Borowiak
Journal:  Atmos Pollut Res       Date:  2020-02       Impact factor: 4.352

  2 in total

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