Refinement of a model for evaluating the population exposure in an urban area

Abstract. A mathematical model is presented for the determination of human exposure to ambient air pollution in an urban area; the model is a refined version of a previously developed mathematical model EXPAND (EXposure model for Particulate matter And Nitrogen oxiDes). The model combines predicted concentrations, information on people's activities and location of the population to evaluate the spatial and temporal variation of average exposure of the urban population to ambient air pollution in different microenvironments. The revisions of the modelling system containing the EXPAND model include improvements of the associated urban emission and dispersion modelling system, an improved treatment of the time use of population, and better treatment for the infiltration coefficients from outdoor to indoor air. The revised model version can also be used for estimating intake fractions for various pollutants, source categories and population subgroups. We present numerical results on annual spatial concentration, time activity and population exposures to PM2.5 in the Helsinki Metropolitan Area and Helsinki for 2008 and 2009, respectively. Approximately 60% of the total exposure occurred at home, 17% at work, 4% in traffic and 19% in other microenvironments in the Helsinki Metropolitan Area. The population exposure originating from the long-range transported background concentrations was responsible for a major fraction, 86%, of the total exposure in Helsinki. The largest local contributors were vehicular emissions (12%) and shipping (2%).

[1]  Juhani Laurikko On exhaust emissions from petrol-fuelled passenger cars at low ambient temperatures: Dissertation , 1998 .

[2]  Ari Karppinen,et al.  Evaluation of the CAR-FMI model against measurements near a major road , 2001 .

[3]  J. Kukkonen,et al.  A modelling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area , 2009 .

[4]  Roberto San José García,et al.  An integrated multi-model approach for air quality assessment: Development and evaluation of the OSCAR Air Quality Assessment System , 2008, Environ. Model. Softw..

[5]  Erik Lebret,et al.  EXPOLIS simulation model: PM2.5 application and comparison with measurements in Helsinki , 2003, Journal of Exposure Analysis and Environmental Epidemiology.

[6]  G. Leeuw,et al.  A regional‐to‐global model of emission and transport of sea salt particles in the atmosphere , 2011 .

[7]  Ari Karppinen,et al.  A modelling system for predicting urban air pollution: model description and applications in the Helsinki metropolitan area , 2000 .

[8]  Rufus Edwards,et al.  Indoor time–microenvironment–activity patterns in seven regions of Europe , 2007, Journal of Exposure Science and Environmental Epidemiology.

[9]  Ari Karppinen,et al.  Statistical and diagnostic evaluation of a new-generation urban dispersion modelling system against an extensive dataset in the Helsinki area , 2001 .

[10]  Ari Karppinen,et al.  A modelling system for predicting urban air pollution:: comparison of model predictions with the data of an urban measurement network in Helsinki , 2000 .

[11]  John Gulliver,et al.  Time-space modeling of journey-time exposure to traffic-related air pollution using GIS. , 2005, Environmental research.

[12]  Christer Johansson,et al.  A model for vehicle-induced non-tailpipe emissions of particles along Swedish roads , 2005 .

[13]  K. Koistinen,et al.  Sociodemographic descriptors of personal exposure to fine particles (PM2.5) in EXPOLIS Helsinki , 2000, Journal of Exposure Analysis and Environmental Epidemiology.

[14]  Erik Lebret,et al.  Air Pollution Exposure in European Cities: The "Expolis" Study. , 1998 .

[15]  C. Dimitroulopoulou,et al.  INDAIR: A probabilistic model of indoor air pollution in UK homes , 2006 .

[16]  Forecasting human exposure to atmospheric pollutants in Portugal – A modelling approach , 2009 .

[17]  J. Cyrys,et al.  Aerosol-based modelling of infiltration of ambient PM2.5 and evaluation against population-based measurements in homes in Helsinki, Finland , 2013 .

[18]  Davy Janssens,et al.  A dynamic activity-based population modelling approach to evaluate exposure to air pollution: Methods and application to a Dutch urban area , 2009 .

[19]  Giorgio Cattani,et al.  Seasonal patterns of outdoor PM infiltration into indoor environments: review and meta-analysis of available studies from different climatological zones in Europe , 2011 .

[20]  J. Kukkonen,et al.  Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide , 2011 .

[21]  J. Kukkonen,et al.  Evaluation of atmospheric benzene concentrations in the Helsinki Metropolitan Area in 2000–2003 using diffusive sampling and atmospheric dispersion modelling , 2005 .

[22]  O Seppänen,et al.  Reduction potential of urban PM2.5 mortality risk using modern ventilation systems in buildings. , 2005, Indoor air.

[23]  Ari Karppinen,et al.  A model for evaluating the population exposure to ambient air pollution in an urban area , 2002 .

[24]  Matthias Ketzel,et al.  Evaluation of a road dust suspension model for predicting the concentrations of PM10 in a street canyon , 2011 .

[25]  C. Dimitroulopoulou,et al.  Personal exposure of children to air pollution , 2009 .

[26]  A. Karppinen Meteorological pre-processing and atmospheric dispersion modelling of urban air quality and applications in the Helsinki metropolitan area , 2001 .

[27]  Jaakko Kukkonen,et al.  Evaluation of a Gaussian and a Lagrangian model against a roadside data set, with emphasis on low wind speed conditions , 2001 .

[28]  Ari Karppinen,et al.  Intake fraction distributions for benzene from vehicles in the Helsinki metropolitan area , 2009 .

[29]  A. Peters,et al.  Hourly variation in fine particle exposure is associated with transiently increased risk of ST segment depression , 2008, Occupational and Environmental Medicine.

[30]  Jaakko Kukkonen,et al.  Evaluation of the CALINE4 and CAR-FMI models against measurements near a major road , 2005 .

[31]  Steen Solvang Jensen,et al.  A Geographic Approach to Modelling Human Exposure to Traffic Air Pollution using GIS , 1999 .

[32]  J. Kukkonen,et al.  Evaluation of a modelling system for predicting the concentrations of PM2.5 in an urban area , 2008 .

[33]  O. Jolliet,et al.  Defining intake fraction. , 2002, Environmental science & technology.

[34]  Jaakko Kukkonen,et al.  Validation of the dispersion model CAR-FMI against measurements near a major road , 2001 .

[35]  P. Kållberg,et al.  The ‘yellow snowepisode’ of northern Fennoscandia, march 1991—A case study of long-distance transport of soil, pollen and stable organic compounds , 1994 .

[36]  Erik Lebret,et al.  Infiltration of ambient PM2.5 and levels of indoor generated non-ETS PM2.5 in residences of four European cities , 2004 .

[37]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[38]  Jaakko Kukkonen,et al.  PM2.5 concentrations in London for 2008–A modeling analysis of contributions from road traffic , 2014, Journal of the Air & Waste Management Association.

[39]  Renske Timmermans,et al.  The LOTOS?EUROS model: description, validation and latest developments , 2008 .