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Particulate matter air pollution in an urban area : a case study

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Many European agglomerations suffer from high concentrations of particulate matter (PM), which is now one of the most detrimental pollutants characterizing the urban atmospheric environment. This paper addresses the problem of PM10 pollution in the Warsaw metropolitan area, including very harmful fine fractions (PM2.5), and also some heavy metals. The analysis of air quality in the Warsaw agglomeration discussed in this study is based on results from computer modeling presented elsewhere, and refers to emission and meteorological data for the year 2012. The range of emissions considered in this analysis includes the main sectors of municipal activity: energy generation, industry, urban transport, residential sector. The trans-boundary inflow of the main pollutants coming from distant sources is also taken into account. The regional scale computer model CALPUFF was used to assess the annual mean concentrations of major pollutants in the urban area. The results show the regions where the air quality limits are exceeded and indicate the dominant sources of emission which are responsible for these vio-lations (source apportionment). These are the key data required to implement efficient regulatory actions.
Rocznik
Strony
43--56
Opis fizyczny
Bibliogr. 30 poz., rys.
Twórcy
autor
  • Systems Research Institute of the Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
autor
  • Systems Research Institute of the Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
  • Warsaw School of Information Technology, ul. Newelska 6, 01-447 Warsaw, Poland
Bibliografia
  • [1] APSIMON H.M., WARREN R.F. KAYIN S., Addressing uncertainty in environmental modeling: a case study of integrated assessment of strategies to combat long-range transboundary air pollution, Atmos. Environ., 2002, 36, 5417.
  • [2] BARNA M.G., GIMSON N.R., Dispersion modelling of a wintertime particulate pollution episode in Christchurch, New Zealand. Atmos. Environ., 2002, 36, 3531.
  • [3] BUCHHOLZ S., KREIN A., JUNK J., HEINEMANN G., HOFFMANN L., Simulation of urban-scale air pollu-tion patterns in luxembourg: contributing sources and emission scenarios, Environ. Model. Assess., 2013, 18, 271.
  • [4] CARNEVALE C., FINZI G., PISONI E., VOLTA M., GUARISO G., GIANFREDA R., MAFFEIS G., THUNIS P., WHITE L., TRIACCHINI G., An integrated assessment tool to define effective air quality policies at re-gional scale, Environ. Model. Softw., 2012, 38, 306.
  • [5] CALORI G., CLEMENTE M., DE MARIA R., FINARDI S., LOLLOBRIGIDA F., TINARELLI G., Air quality inte-grated modelling in Turin urban area, Environ. Model. Softw., 2006, 21, 468.
  • [6] DUQUE L., RELVAS H., SILVEIRA C., FERREIRA J., MONTEIRO A., GAMA C., RAFAEL S., FREITAS S., BORREGO C., MIRANDA A.I., Evaluating strategies to reduce urban air pollution, Atmos. Environ., 2016, 127, 196.
  • [7] EEA Report, No. 4/2012. Air quality in Europe 2012, 2012.
  • [8] EEA Technical Report, No. 12/2014, European Union emission inventory report 1990–2012 under the UNECE Convention on long-range transboundary air pollution (LRTAP), 2014.
  • [9] ELBIR T., Comparison of model predictions with the data of an urban air quality monitoring network in Izmir, Turkey, Atmos. Environ., 2003, 37, 2149.
  • [10] EMEP/EEA, Air Pollutant Emission Inventory Guidebook 2013, 2013.
  • [11] ETC/ACM, Technical Paper 2013/11, How to start with PM modelling for air quality assessment and planning relevant to AQD, 2013.
  • [12] EU Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe, 2008.
  • [13] HOLNICKI P., NAHORSKI Z., Emission data uncertainty in urban air quality modeling. Case Study, En-viron. Model. Assess., 2015, 20, 583.
  • [14] HOLNICKI P., KAŁUSZKO A., TRAPP W., An urban scale application and validation of the CALPUFF model, Atmos. Pol. Res., 2016, 7, 393.
  • [15] HOLNICKI P., KAŁUSZKO A., NAHORSKI Z., STANKIEWICZ K., TRAPP W., Air quality modeling for War-saw agglomeration, Arch. Environ. Prot. (to be published).
  • [16] JUDA-REZLER K., Environmental impact of air pollution, Oficyna Wydawnicza Politechniki War-szawskiej, Warsaw 2000 (in Polish).
  • [17] KASSOMENOS P., VARDOULAKIS S., CHALOULAKOU A., GRIVAS G., BORGE R., LUMBRERAS J., Levels, sources and seasonality of coarse particles (PM10–PM2.5) in three European capitals. Implications for particulate pollution control, Atmos. Environ., 2012, 54, 337.
  • [18] MAXIM L., VAN DER SLUIJS J., Quality in environmental science for policy: Assessing uncertainty as a component of policy analysis, Environ. Sci. Policy, 2011, 14, 482.
  • [19] MEDIAVILLA-SAHAGÚN A., APSIMON H.M., Urban scale integrated assessment for London: Which emission reduction strategies are more effective in attaining prescribed PM10 air quality standards by 2005?, Environ. Model. Softw., 2006, 21, 501.
  • [20] Ministry of the Environment, Decree No. 47 par. 281 of 3rd March 2008 on the level of certain sub-stances in the atmosphere, 2008 (in Polish).
  • [21] Ministry of the Environment, Decree No. 16 par. 87 of 26th January 2010 on benchmark values for various substances in the atmosphere, 2010 (in Polish).
  • [22] Ministry of the Environment, Decree par.1031 of 24th August 2012 on the level of certain substances in the atmosphere, 2012 (in Polish).
  • [23] MOORE G.E., LONDERGAN R.J., Sampled Monte Carlo uncertainty analysis for photochemical grid models, Atmos. Environ., 2001, 35, 4863.
  • [24] OXLEY T., VALIANTIS M., ELSHKAKI A., APSIMON H.M., Background, road and urban transport mod-eling of air quality limit values (the BRUTAL model), Environ. Model. Softw., 2009, 24, 1036.
  • [25] RUSSEL A., DENNIS D., NASTRO critical review of photochemical models and modeling, Atmos. Environ., 2000, 34, 2283.
  • [26] SAX T., ISAKOV V., A case study for assessing uncertainty in local-scale regulatory air quality model-ing applications, Atmos. Environ., 2003, 37, 3481.
  • [27] SCIRE J.S., STRIMAITIS D.G., YAMARTINO R.J., A User’s Guide for the CALPUFF Dispersion Model, Earth Technology, Inc., 2000.
  • [28] SPORTISSE B., A review of current issues in air pollution modeling and simulation, Comput. Geosci., 2007, 11, 159.
  • [29] WIOŚ (Voivodship Inspectorate of Environmental Protection), Environment Quality in the Mazovian Voivodship in the year 2012. Report for the Year 2012, Warsaw 2012 (in Polish).
  • [30] WHO Report Air pollution levels rising in many of the world’s poorest cities, http://www.who.int /mediacentre/news/releases/2016/air-pollution-rising/en/
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7dcddd96-b59a-4c54-818c-70066cb54f7e
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