Advances in Science and Research www.adv-sci-res.net 1992-0628 1992-0636 2 7th EMS Annual Meeting and 8th European Conference on Applications of Meteorology 2007 2008 10.5194/asr-2-119-2008 http://www.adv-sci-res.net/2/119/2008/ http://www.adv-sci-res.net/2/119/2008/asr-2-119-2008.html http://www.adv-sci-res.net/2/119/2008/asr-2-119-2008.pdf 119 126 2008-07-03 STAT-IMM, a statistical approach to determine local and background contributions to PM₁₀ levels W. Enke F. Kreienkamp A. Spekat arne.spekat@cec-potsdam.de Climate & Environment Consulting Potsdam GmbH, Potsdam, Germany When studying concentrations of particulate matter with a size of 10 µm or below (PM₁₀), measured locally, it becomes evident that two main portions need to be quantified: The concentration produced by sources in the vicinity of the station and the long range transports. The traditional approaches include analyses of the components of PM₁₀, comparisons upwind and downwind of a station, investigation of trajectories and complex chemical transport modelling. The development of an independent strategy which makes use of statistical methods, including regression and correlation analysis is a reasonable alternative. This method, presented here, does not apply the concept of PM₁₀ sources, but, rather, analyzes the relations between times series of PM₁₀ measurements and atmospheric properties. It is applied to identify the shares of the local portion and the large-scale background plus a stochastic portion that cannot be attributed to either of the two. Using regression analysis, a set of objectively chosen meteorological parameters is used to reconstruct the local PM₁₀ measurement series, defining the local portion. This weather-dependent part of the series is then removed and the residuum, which contains the large-scale PM₁₀ background and a stochastic portion is analyzed further with correlations. Results are shown for a three-year set of data which includes well over 250 PM₁₀ stations across Germany. The data is analyzed according to different stratifications, such as the PM₁₀ load and the wind direction as well as for the data set as a whole. In a further development of the method, a study of PM₁₀ transports across several border sections is shown. Danielsen, E. F.: Review of Trajectory Methods, Adv. Geophys., 18B, 73–94, 1974. Diegmann, V., Pfäfflin, F., Wiegand,, and Wursthorn: Maßnahmen zur Reduzierung von Feinstaub und Stickstoffdioxid, Endbericht, Grant 204 42 222, German Federal Environment Agency (UBA), 2006. Enke, W. and Spekat, A.: Downscaling Climate Model Outputs into local and regional Weather Elements by Classification and Regression, Clim. Res., 8, 195–207, 1997. EU: Council Directive 96/62/EC of September 27 on Ambient Air Quality Assessment and Management, Official Journal of the European Communities, L296/55, published: 21 November 1996. EU: Council Decision of 27 January 1997 Establishing a Reciprocal Exchange of Information and Data from Networks and Individual Stations Measuring Ambient Air Pollution Within the Member States (97/101/EC), Official Journal of the European Commission, L035, 0014–0022, published: 5 February 1997. EU: Council Directive 1999/30/EC of 22 April 1999 Relating to Limit Values for Sulphur Dioxide, Nitrogen Dioxide and Oxides of Nitrogen, Particulate Matter and Lead in Ambient Air, Official Journal of the European Commission, L163/41, published: 29 June 1999. % %EU, 2001: Commission Decision of 17 October 2001 Amending the Annexes to Council Decision 97/101/EC Establishing a Reciprocal Exchange of Information and Data from Networks and Individual Stations Measuring Ambient Air Polluton Within the Member States (2001/752/EC). – Official Journal of the European Commission, L282/69. Published 26 October 2001. % % %EU, 2002: Directive 2002/3/EC of the European Parliament and the Council of 12 February 2002 Relating to Ozone in Ambient Air. – Official Journal of the European Commission, L67/14. Published 9 March 2002. Flemming, J., Stern, R., and Yamartino, R. J.: A new air quality regime classification scheme for O₃, NO₂, SO₂ and PM$_10$ observation sites, Atmos. Environ., 39, 6121–6129, 2005. Garber, W., Colosio, J., Grittner, S., Larssen, S., Rasse, D., Schneider, J., and Houssiau, M.: Guidance to the Annexes to Decision 97/101/EC on Exchange of Information as revised by Decision 2001/752/EC, for the European Commission, DG Environment, 2002. Hainisch, A. and Neubauer, S.: Feinstaubimmissionen in Mecklenburg-Vorpommern, Materialien zur Umwelt, Schwerin, Mecklenburg-Vorpommern, Landesamt für Umwelt, Naturschutz und Geologie, 2004. Harris, J. M. and Kahl, J. D.: A Descriptive Atmospheric Transport Climatology for the Mauna Loa Oberservatory, using Clustered Trajectories, J. Geophys. Res., 95, 13 651–13 667, 1990. Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., Whitea, G., Woolen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R., Jenne, R., and Joseph, D.: The NCEP/NCAR 40-year Reanalysis Project, B. Am. Meteorol. Soc., 77, 437–471, 1996. Klein, W. H.: Computer predictions of precipitation probability in the United States, J. Appl. Meteorol., 10, 903–915, 1971. Kreienkamp, F. and Enke, W.: Nationale Luftreinhaltestrategie – Umsetzung von EU-Anforderungen. Teilprojekt 1: Entwicklung operationeller automatischer Verfahren zur Validierung von Immisionsmesswerten als Teil eines Qualitätssicherungssystems, Schlussbericht, FKZ 203 43 257/01, Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit, 2005. Kreienkamp, F., Enke, W., and Spekat, A.: Untersuchung des Einflusses des Wetters auf die Feinstaubbelastung in Deutschland, Abschlussbericht, Grant 205 43 223, German Federal Environment Angency (UBA), 2007. Kruizinga, S. and Murphy, A. H.: Use of an analogue procedure to formulate objective probabilistic temperature forecasts in the Netherlands, Mon. Weather Rev., 111, 2244–2254, 1989. Lenschow, P., Abraham, H.-J., Kutzner, K., Lutz, M., Preuß, J.-D., and Reichenbächer, W.: Some Ideas about the Sources of PM$_10$, Atmos. Environ., 35 Suppl. 1, S23–S33, 2001. Man, C. K. and Shih, M. Y.: Identification of sources of PM$_10$ aerosols in Hong Kong by wind trajectory analysis, J. Aerosol Sci., 32, 1213–1223, 2001. Merrill, J. T., Bleck, R., and Avila, L.: Modeling Armospheric Transport to the Marshal Islands, J. Geophys. Res., 90(D7), 12 927–12 936, 1985. Oltmans, S. J., Levy II, H., Harris, J. M., Merrill, J. T., Moody, J. L., Lathrap, J. A., Cuevas, E., Trainer, M., O'Neill, M. S., Prospero, J. M., Vömel, H., and Johnson, B. J.: Summer and Spring Ozone Profiles over the North Atlantic from Ozonesonde Measurements, J. Geophys. Res., 101(D22), 29 179–29 200, 1996. % %Putaud, J.P., F. Raes, R. van Dingenen, J.P.U. Baltensperger, E. Brüggemann, M.C. Fucchini, S. Decesari, S. Fuzzi, R. Gehrig, H.C. Hansson, G. Hüglin, P. Laj, G. Lorbeer, W. Maenhaut, N. Mihalopoulos, K. Müller, X. Querol, S. Rodriguez, J. Schneider, G. Spindler, H. ten Brink, K. Tørseth, B. Wehner and A. Wiedensohler, 2004: A European Aerosol Phenomenology – 2. Chemical Characteristics of Particulate Matter at Kerbsite, Urban, Rural and Background Sites in Europe. – Atm. Env., 38, 2579–2595. Querol, X., Alastuey, A., Ruiz, C. R., Artiñano, B., Hansson, H. C., Harrison, R. M., Buringh, E., Ten Brink, H. M., Lutz, M., Bruckmann, P., Staehl, P., and Schneider, J.: Speciation and Origin of PM$_10$ and PM$_2.5$ in Selected European Cities, Atmos. Environ., 38, 6547–6555, 2004. Querol, X., Viana, M., Alastuey, A., Amato, F., Moreno, T., Castillo, S., Pey, J., de la Rosa, J., Sánchez de la Campa, A., Artiñano, B., Salvador, P., Garcia Dos Dantos, S., Fernández-Patier, R., Moreno-Grau, S., Negrai, L., Minguillón, M. C., Monfort, E., Gif, J. L., Inza, A., Ortega, L. A., Santamaria, J. M., and Zabalza, J.: Source Origins of Trace Elements in PM from Regional Background, Urban and Industrial Sites of Spain, Atmos. Environ., 41, 7219–7231, 2007. Seibert, P.: Convergence and Accuracy of Numerical Methods for Trajectory Calculations, J. Appl. Meteorol., 32, 558–566, 1993. Stern, R.: Entwicklung und Anwendung des chemischen Transportmodells REM/CALGRID. Abschlussbericht zum Forschungs- und Entwicklungsverfahrens: Modellierung und Prüfung von Strategien zur Verminderung der Belastung durch Ozon, Grant 298 41 252, German Federal Environment Angency (UBA), 2003. Stern, R.: Der Beitrag des Ferntransports zu den PM$_10$- und den NO₂-Konzentrationen in Deutschland unter besonderer Betrachtung der polnischen Emissionen: Eine Modellstudie, Freie Universität Berlin, Institut für Meteorologie, Troposphärische Umweltforschung, 2006. Stohl, A. and Kromp-Kolb, H.: Origin Of Ozone In Vienna And Surroundings, Austria, Atmos. Environ., 28, 1255–1266, 1994. van Dingenen, R., Raes, F., Putaud, J.-P., Baltensperger, U., Charron, A., Facchini, M.-C., Descari, S., Fuzzi, S., Gehrig, R., Hansson, H. C., Harrison, R. M., Hüglin, C., Jones, A. M., Laj, P., Lorbeer, G., Maenhaut, W., Palmgren, F., Querol, X., Rodriguez, S., Schneider, J., ten Brink, H., Tunved, P., Tørseth, K., Wehner, B., Weingartner, E., Wiedensohler, A., and Wåhlin, P.: A European Aerosol Phenomenology – 1: Physical Characteristics of Particulate Matter at Kerbside, Urban, Rural and Background Sites in Europe, Atmos. Environ., 38, 2561–2577, 2004. van Loon, M., Roemer, M., and Builtjes, P.: Model intercomparison in the framework of the review of the Unified EMEP, TNO Report R 2004/282, Delft, The Netherlands, 2004. Warnecke, C., Wouters, F., Kuhlbusch, Th., Hugo, A., Rating, U., and Koch, M.: PM$_10$ Quellgruppenanalyse als Teilvorhaben TV4 der Analyse der Immissionsbelastung in Deutschland durch Ferntransporte (Final Report), Grant 204 42 202/04, German Federal Environment Agency (UBA), 2006. Yamartino, R. J., Scire, J. S., Carmichael, G. R., and Chang, Y. S.: The CALGRID Mesoscale Photochemical Model – I: Model Formulation, Atmos. Environ., 26A, 1493–1512, 1992.