Szczegóły

Tytuł artykułu

Air quality modeling for Warsaw agglomeration

Tytuł czasopisma

Archives of Environmental Protection

Rocznik

2017

Numer

No 1

Autorzy publikacji

Wydział PAN

Nauki Techniczne

Wydawca

Polish Academy of Sciences

Data

2017

Identyfikator

ISSN 2083-4772 ; eISSN 2083-4810

Referencje

Tartakovsky (2013), Evaluation of AERMOD and CALPUFF for predicting ambient concentrations of total suspended particulate matter ( TSP ) emissions from a quarry in complex terrain, Environmental Pollution, 179, 138, doi.org/10.1016/j.envpol.2013.04.023 ; Chafe (2014), van Dingenen Household cooking with solid fuels contributes to ambient PM air pollution and the burden of disease, Environmental Health Perspectives Software, 122, 1. ; Park (2006), Uncertainty in air quality model evaluation for particulate matter due to spatial variations in pollutant concentrations, Atmospheric Environment, 40, 563, doi.org/10.1016/j.atmosenv.2005.11.078 ; Dresser (2011), CALPUFF and AERMOD model validation study in the near field : Martins Creek revisited of the Air &, Journal Waste Management Association, 61, 641. ; Villasenor (2003), A mesoscale modeling study of windblown dust on the Mexico City Basin, Atmospheric Environment, 37, 2451, doi.org/10.1016/S1352-2310(03)00182-1 ; ApSimon (2002), Addressing uncertainty in environmental modeling : a case study of integrated assessment of strategies to combat long - range transboundary air pollution, Atmospheric Environment, 36, 5417, doi.org/10.1016/S1352-2310(02)00659-3 ; NCAR (2008), A description of the advanced research WRF Version NCAR Technical Note TN Boulder Colorado, USA, 475. ; Buchholz (2013), Simulation of urban - scale air pollution patterns in Luxembourg : contributing sources and emission scenarios Environmental Modelling, Assessment, 18, 271. ; Hryniewicz (2014), Compliance for uncertain inventories via probabilistic / fuzzy comparison of alternatives, Climatic Change, 124, 519, doi.org/10.1007/s10584-013-1031-x ; Holnicki (2013), Air quality modeling in Warsaw Metropolitan Area Journal of Theoretical and Applied Computer, Science, 7, 56. ; Sax (2003), A case study for assessing uncertainty in local - scale regulatory air quality modeling applications, Atmospheric Environment, 37, 3481, doi.org/10.1016/S1352-2310(03)00411-4 ; Oshan (2006), Application of the USEPA s CALPUFF model to an urban area, Environmental Progress Sustainable Energy, 25, 12. ; Maxim (2011), van der Sluijs Quality in environmental science for policy : Assessing uncertainty as a component of policy analysis, Environmental Science Policy, 14, 482, doi.org/10.1016/j.envsci.2011.01.003 ; Elbir (2003), Comparison of model predictions with the data of an urban air quality monitoring network in Izmir Turkey, Atmospheric Environment, 37, 2149, doi.org/10.1016/S1352-2310(03)00087-6 ; Thunis (2007), Analysis of model responses to emission - reduction scenarios within the CityDelta project, Atmospheric Environment, 41, 208, doi.org/10.1016/j.atmosenv.2006.09.001 ; Patton (2014), Spatial and temporal differences in traffic - related air pollution in three urban neighborhoods near an interstate highway, Atmospheric Environment, 99, 309, doi.org/10.1016/j.atmosenv.2014.09.072 ; Holmes (2006), A review of dispersion modelling and its application to the dispersion of particles : An overview of different dispersion models available, Atmospheric Environment, 40, 5902, doi.org/10.1016/j.atmosenv.2006.06.003

DOI

10.1515/aep-2017-0005

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