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Validation of the MIMOSA-AURORA-IFDM model chain for policy support: Modeling concentrations of elemental carbon in Flanders
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“Further, the Leuven.cooldataset could be a useful input in air pollution prediction models (e.g.Immission Frequency Distribution, IFD, model, Lefebvre et al., 2011).”
From Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium (2022) · cites this paper as Lefebvre et al., 2011
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- Beckx, 2009, The contribution of activity-based transport models to air quality modelling: a validation of the ALBATROSS-AURORA model chain, Sci. Total. Environ., 407, 3814, 10.1016/j.scitotenv.2009.03.015 · DOI
- Bultynck, 1972, Evaluation of atmospheric dilution factors for effluents diffused from an elevated continuous point source, Tellus, 24, 453, 10.1111/j.2153-3490.1972.tb01572.x · DOI
- De Ridder, 2008, Simulating the impact of urban sprawl on air quality and population exposure in the German Ruhr area. Part I: reproducing the base state, Atmos. Environ., 42, 7059, 10.1016/j.atmosenv.2008.06.045 · DOI
- Deutsch, 2008, Application and validation of a comprehensive model for PM10 and PM2.5 concentrations in Belgium and Europe, Appl. Math. Model., 32, 1501, 10.1016/j.apm.2007.04.011 · DOI
- Deutsch, 2008, Modeling changes of aerosol compositions over Belgium and Europe, Int. J. Environ. Pollut., 32, 162, 10.1504/IJEP.2008.017101 · DOI
- Dijkema, 2008, Air quality effects of an urban highway speed limit reduction, Atmos. Environ., 42, 9098, 10.1016/j.atmosenv.2008.09.039 · DOI
- Gauderman, 2007, Effect of exposure to traffic on lung development from 10 to 18 years of age: a cohort study, Lancet, 369, 571, 10.1016/S0140-6736(07)60037-3 · DOI
- Gery, 1989, A photochemical kinetics mechanism for urban and regional scale computer modeling, J. Geophys. Res., 94, 925, 10.1029/JD094iD10p12925 · DOI
- Hitzenberger, 2006, Intercomparison of thermal and optical measurement methods for elemental carbon and black carbon at an urban location, Environ. Sci. Technol., 40, 6377, 10.1021/es051228v · DOI
- Hoek, 2002, Association between mortality and indicators of traffic-related air pollution in the Netherlands: a cohort study, The Lancet, 360, 1203, 10.1016/S0140-6736(02)11280-3 · DOI
- Lefebvre, 2011, Modeling the effects of a speed limit reduction on traffic-related elemental carbon (EC) concentrations and population exposure to EC, Atmos. Environ., 45, 197, 10.1016/j.atmosenv.2010.09.026 · DOI
- Maes, 2009, Spatial surrogates for the disaggregation of CORINAIR emission inventories, Atmos. Environ., 43, 1246, 10.1016/j.atmosenv.2008.11.040 · DOI
- Mensink, 2000, An urban transport emission model for the Antwerp area, Atmos. Environ., 34, 4595, 10.1016/S1352-2310(00)00215-6 · DOI
- Mensink, 2001, Computational Aspects of Air Quality Modelling in Urban Regions Using an Optimal Resolution Approach (AURORA), vol. 2179
- Mills, 2007, Ischemic and thrombotic effects of dilute diesel-exhaust inhalation in men with coronary heart disease, N. Engl. J. Med., 357, 1075, 10.1056/NEJMoa066314 · DOI
- Olesen, 1995, The model validation exercise at Mol: overview of results, Int. J. Environ. Pollut., 5, 761
- Patel, 2009, Spatial and temporal variations in traffic-related particulate matter at New York City high schools, Atmos. Environ., 43, 4975, 10.1016/j.atmosenv.2009.07.004 · DOI
- PROMOTE, 2009a. GMES service element Promote 2; C6 Validation Report, Chapter 9: Local air quality forecast service, Version 3, http://www.oma.be/PROMOTE_validation_office/Documents/C6_2009/C6-09_AQ-LocForecast_v3.pdf.
- PROMOTE, 2009b. GMES service element Promote 2; C6 Validation Report, Chapter 10: Urban and Regional Air Quality Assessment Service, Version 3, http://www.oma.be/PROMOTE_validation_office/Documents/C6_2009/C6-10_AQ-Assessment_v3.pdf.
- Putaud, 2010, A European aerosol phenomenology – 3: physical and chemical characteristics of particulate matter from 60 rural, urban and kerbside sites across Europe, Atmos. Environ., 44, 1308, 10.1016/j.atmosenv.2009.12.011 · DOI
- Quincey, 2009, An evaluation of measurement methods for organic, elemental and black carbon in ambient air monitoring sites, Atmos. Environ., 43, 5085, 10.1016/j.atmosenv.2009.06.041 · DOI
- Schaap, 2004, Anthropogenic black carbon and fine aerosol distributions over Europe, J. Geophys. Res., 109
- Van de Vel, 2010, Air-quality modelling in the Lake Baikal region, Environ. Monit. Assess., 165, 665, 10.1007/s10661-009-0977-7 · DOI
- Venkatachari, 2006, An intercomparison of measurement methods for carbonaceous aerosol in the ambient air in New York city, Aerosol. Sci. Technol., 40, 788, 10.1080/02786820500380289 · DOI
- Venkatram, 2006, Approximating dispersion from a finite line source, Atmos. Environ., 40, 2401, 10.1016/j.atmosenv.2005.12.014 · DOI
- Vercauteren, 2011, Chemkar PM10: an extensive look at the local differences in chemical composition of PM10 in Flanders, Belgium, Atmos. Environ., 45, 108, 10.1016/j.atmosenv.2010.09.040 · DOI
- Walcek, 2000, Minor flux adjustment near mixing ratio extremes for simplified yet highly accurate monotonic calculation of tracer advection, J. Geophys. Res., 105, 9335, 10.1029/1999JD901142 · DOI
- Xue, 2000, The Advanced Regional Prediction System (ARPS) – a multiscale non-hydrostatic atmospheric simulation and prediction tool. Part I: model dynamics and verification, Meteor. Atmos. Phys., 75, 161, 10.1007/s007030070003 · DOI
- Xue, 2001, The Advanced Regional Prediction System (ARPS) – a multiscale non-hydrostatic atmospheric simulation and prediction tool. Part II: model physics and applications, Meteor. Atmos. Phys., 76, 134, 10.1007/s007030170027 · DOI
Cited by
Sorted by citations
Janssen, B. G., Byun, H.-M., Gyselaers, W., Lefebvre, W., Baccarelli, A. A., & Nawrot, T. S. (2015) · Epigenetics · doi:10.1080/15592294.2015.1048412 · Cited by 187
Self-citationSaenen, N. D., Bové, H., Steuwe, C., Roeffaers, M. B. J., Provost, E. B., Lefebvre, W., Vanpoucke, C., Ameloot, M., & Nawrot, T. S. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201704-0797oc · Cited by 144
Self-citationMitochondrial oxidative DNA damage and exposure to particulate air pollution in mother-newborn pairs
Grevendonk, L., Janssen, B. G., Vanpoucke, C., Lefebvre, W., Hoxha, M., Bollati, V., & Nawrot, T. S. (2016) · Environmental Health · doi:10.1186/s12940-016-0095-2 · Cited by 145
“5 and PM10 (μg/m (3)) using a spatial temporal interpolation method (Krigin) [18] that uses pollution data collected in the official fixed site monitoring and land cover data obtained from satellite images (CORINE land cover data set) in combination with a dispersion model [19, 20]).”
MethodSelf-citationAir pollution-induced placental epigenetic alterations in early life: a candidate miRNA approach
Tsamou, M., Vrijens, K., Madhloum, N., Lefebvre, W., Vanpoucke, C., & Nawrot, T. S. (2018) · Epigenetics · doi:10.1080/15592294.2016.1155012 · Cited by 107
Self-citationNeven, K. Y., Saenen, N. D., Tarantini, L., Janssen, B. G., Lefebvre, W., Vanpoucke, C., Bollati, V., & Nawrot, T. S. (2018) · The Lancet Planetary Health · doi:10.1016/s2542-5196(18)30049-4 · Cited by 103
Self-citationBeele, E., Reyniers, M., Aerts, R., & Somers, B. (2022) · Earth System Science Data Discussions · doi:10.5194/essd-2022-113 · Cited by 44
Metadata
- Authors
- Lefebvre, W., Vercauteren, J., Schrooten, L., Janssen, S., Degraeuwe, B., Maenhaut, W., de Vlieger, I., Vankerkom, J., Cosemans, G., Mensink, C., Veldeman, N., Deutsch, F., Van Looy, S., Peelaerts, W., & Lefebre, F.
- Venue
- Atmospheric Environment
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 45
- Issue
- 37
- Pages
- 6705-6713
- ISSN
- 1352-2310
- Cited by
- 107
- References
- 0
- Language
- en
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