Integrating a street-canyon model with a regional Gaussian dispersion model for improved characterisation of near-road air pollution

Atmospheric Environment

Volumn 153, Issue , 2017, Pages 21-31

  Fallah Shorshani, Masoud ^a   Shekarrizfard, Maryam ^a   Hatzopoulou, Marianne ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

CALPUFF; Dispersion modelling; Gaussian model; Hybrid model; SIRANE; Street canyon; Traffic emissions

Indexed keywords

ATMOSPHERIC MOVEMENTS; GAUSSIAN DISTRIBUTION; NITROGEN OXIDES; ROADS AND STREETS; URBAN TRANSPORTATION;

CALPUFF; DISPERSION MODELLING; GAUSSIAN MODEL; HYBRID MODEL; SIRANE; STREET CANYON; TRAFFIC EMISSIONS;

AIR POLLUTION;

NITROGEN DIOXIDE;

ATMOSPHERIC MODELING; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); DISPERSION; GAUSSIAN METHOD; NITROGEN DIOXIDE; NUMERICAL MODEL; POLLUTANT TRANSPORT; POLLUTION EXPOSURE; ROAD; STREET CANYON; TRAFFIC EMISSION; URBAN REGION;

AIR POLLUTION; ARTICLE; ATMOSPHERIC DISPERSION; BUILDING; CANOPY; CONTROLLED STUDY; GAUSSIAN PUFF MODEL; METEOROLOGY; NEIGHBORHOOD; POPULATION EXPOSURE; PRIORITY JOURNAL; SIMULATION; STATISTICAL MODEL; TRAFFIC; URBAN AREA;

NEPTUNIA;

EID: 85009231240     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2017.01.006     Document Type: Article

References (31)

1. AMT, Agence Metropolitaine de Transport, La mobilite des personnes dans la region de Montreal: Faits Saillants. Enquete Origine-Destination 2008. 2010.
2. Berkowicz, R., Ketzel, M., Solvang Jensen, S., Hvidberg, M., Raaschou-Nielsen, O., Evaluation and application of OSPM for traffic pollution assessment for a large number of street locations. Environ. Model. Softw. 23 (2008), 296–303.
3. Brett, S.D., Gavin, F.B., Spatial distribution of bulk atmospheric deposition of heavy metals in metropolitan Sydney, Australia. Water Air Soil Pollut.(214), 2011, ,147–162.
4. Cimorelli, A.J., Perry, S.G., Venkatram, A., Weil, J.C., Paine, R.J., Wilson, R.B., Lee, R.F., Peters, W.D., Brode, R.W., AERMOD: a dispersion model for industrial source applications. Part I: general model formulation and boundary layer characterization. Appl. Meteorol. 44 (2005), 682–693.
5. Crouse, D.L., Goldberg, M.S., Ross, N.A., A prediction-based approach to modelling temporal and spatial variability of traffic-related air pollution in Montreal, Canada. Atmos. Environ. 43:32 (2009), 5075–5084.
6. Deville Cavellin, L., Weichenthal, S., Tack, R., Ragettli, M.S., Smargiassi, A., Hatzopoulou, M., 2016. Investigating the use of portable air pollution sensors to capture the spatial variability of traffic related air pollution, 95th Annual Meeting of the Transportation Research Board, January 10-14, 2016: Washington D.C.
7. Eichhorn, J., Kniffka, A., The numerical flow model MISKAM: state of development and evaluation of the basic version. Meteorol. Z. 19:1 (2010), 81–90.
8. Eluru, N., Chakour, V., El-Geneidy, A.M., Travel mode choice and transit route choice behavior in Montreal: insights from McGill University members commute patterns. Public Transp. 4:2 (2012), 129–149.
9. Fallah Shorshani, M., André, M., Bonhomme, C., Seigneur, C., Modelling chain for the effect of road traffic on air and water quality: techniques, current status and future prospects. Environ. Model. Softw. 64 (2015), 102–123.
10. Fellendorf Martin, K. Nokel, and Norbert Handke., 2000. VISUM-online-traffic management for the EXPO2000 based on a traffic model. Proceeding of the 7th world congress on intelligent system.
11. Fellendorf, M., Vortisch, P., Microscopic traffic flow simulator VISSIM. Int. Ser. Operations Res. Manag. Sci., 2010, 63–93.
12. Ghafghazi, G., Hatzopoulou, M., Simulating the environmental effects of isolated and area-wide traffic calming schemes using traffic simulation and microscopic emission modeling. Transportation 41:3 (2014), 633–649.
13. Hatzopoulou, M., Miller, E.J., Linking an activity-based travel demand model traffic emission and dispersion models: transport's contribution to air pollution in Toronto. Transp. Environ. 16:6 (2010), 316–325.
14. Hertel, O., Berkowicz, R., Modelling NO2 Concentrations in a Street Canyon. DMU Luft A-131. 1989 31p.
15. Hirtl, M., Baumann-Stanzer, K., Evaluation of two dispersion models (ADMS-Roads and LASAT) applied to street canyons in Stockholm, London and Berlin. Atmos. Environ. 41 (2007), 5959–5971.
16. Hülsmann, F., Gerike, R., Ketzel, M., Modelling traffic and air pollution in an integrated approach–the case of Munich. Urban Clim. 10 (2014), 732–744.
17. Koupal, J., Michaels, H., Cumberworth, M., Bailey, C., Brzezinski, D., EPA's plan for MOVES: a comprehensive mobile source emissions model. Proceedings of the 12th CRC On-road Vehicle Emissions Workshop, San Diego, CA, 2002, 15–17.
18. Latza, U., Gerdes, S., Baur, X., Effects of nitrogen dioxide on human health: systematic review of experimental and epidemiological studies conducted between 2002 and 2006. Int. J. Hyg. Environ. health 212:3 (2009), 271–287.
19. Lefebvre, W., Van Poppel, M., Maiheu, B., Janssen, S., Dons, E., Evaluation of the RIO-IFDM-street canyon model chain. Atmos. Environ. 77 (2013), 325–337.
20. Lefebvre, W., Vercauteren, J., Schrooten, L., Janssen, S., Degraeuwe, B., Maenhaut, W., de Vlieger, I., Vankerkom, J., Cosemans, G., Mensink, C., Veldeman, N., Validation of the MIMOSA-AURORA-IFDM model chain for policy support: modeling concentrations of elemental carbon in Flanders. Atmos. Environ. 45:37 (2011), 6705–6713.
21. Mensink, C., Cosemans, G., From traffic flow simulations to pollutant concentrations in street canyons and backyards. Environ. Model. Softw. 23:3 (2008), 288–295.
22. Milliez, M., Carissimo, B., Numerical simulations of flow and pollutant dispersion in an idealized urban area, for different meteorological conditions. Boundary-Layer Meteor. 122:2 (2007), 321–342.
23. Noth, E.M., Hammond, S.K., Biging, G.S., Tager, I.B., A spatial-temporal regression model to predict daily outdoor residential PAH concentrations in an epidemiologic study in Fresno, CA. Atmos. Environ. 45:14 (2011), 2394–2403.
24. Righi, S., Lucialli, P., Pollini, E., Statistical and diagnostic evaluation of the ADMS-Urban model compared with an urban air quality monitoring network. Atmos. Environ. 43:25 (2009), 3850–3857.
25. Shekarrizfard, M., Faghih-Imani, A., Hatzopoulou, M., An examination of population exposure to traffic related air pollution: comparing spatially and temporally resolved estimates against long-term average exposures at the home location. Environ. Res. 147 (2016), 435–444.
26. Shekarrizfard, M., Hatzopoulou, M., 2016. Development and validation of an exposure surface for traffic related air pollution using dispersion modelling against land use regression, 95th annual meeting of the transportation research board, January 10–14, 2016: Wahington DC.
27. Scire, J.S., Strimaitis, D.G., Yamartino, R.J., A User's Guide for the CALPUFF Dispersion Model. 2000, Earth Tech, Inc, 1–521.
28. Sider, T., Alam, A., Zukari, M., Dugum, H., Goldstein, N., Eluru, N., Hatzopoulou, M., Land-use and socio-economics as determinants of traffic emissions and individual exposure to air pollution. J. Transp. Geogr. 33 (2013), 230–239.
29. Soulhac, L., Salizzoni, P., Cierco, F.-X., Perkins, R., The model SIRANE for atmospheric urban pollutant dispersion; part I, presentation of the model. Atmos. Environ. 45 (2011), 7379–7395.
30. Ward-Caviness, C.K., Kraus, W.E., Blach, C., Haynes, C.S., Dowdy, E., Miranda, M.L., Devlin, R.B., Diaz-Sanchez, D., Cascio, W.E., Mukerjee, S., Stallings, C., Smith, L.A., Gregory, S.G., Shah, S.H., Hauser, E.R., Neas, L.M., Association of roadway proximity with fasting plasma glucose and metabolic risk factors for cardiovascular disease in a cross-sectional study of cardiac catheterization patients. Environ. Health Perspect. 123 (2015), 1007–1014.
31. Yu, S., Eder, B., Dennis, R., Chu, S.H., Schwartz, S.E., New unbiased symmetric metrics for evaluation of air quality models. Atmos. Sci. Lett. 7 (2006), 26–34.