By Eugene L. Genikhovich (auth.), Carlos Borrego, Selahattin Incecik (eds.)
Carlos Borrego is Professor of Environmental Engineering and pollution Modeling on the college of Aveiro (Portugal). Former Minister of setting (Portuguese govt) and President of the eu Union delegation to the United international locations convention on atmosphere and improvement (Rio 1992). Chairman of the foreign Technical conferences of NATO/CCMS. Selahattin Incecik is Professor in Meteorology, pollution Meteorology and pollution Modeling. Former Head of division of Meteorology, ITU. consultant of Turkey in NATO ITM of pollution Modelling. consultant of college in nationwide Atmospheric examine Council. Lead writer of IPCC/TEAP Safeguarding the Ozone Layer and international weather procedure, 2005 (in preparation).
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Extra resources for Air Pollution Modeling and Its Application XVI
Suppan A. Ryaboshapko MODELLING OF PARTICULATE AIR POLLUTION IN NORTHERN ITALY S. Andreani-Aksoyoglu', J. H. Prevot', J. Dommen', U. P. Putaud' 1. INTRODUCTION The northern part of the Po basin is one of the densely populated and strongly industrialized areas in Europe. The PIPAPO experiment (Pianura Padana Produzione di Ozono) was designed to investigate the photooxidant production in the Milan metropolitan region of Italy in summer 1998, within the frame of the EUROTRAC-2 project LOOP. , 2002).
S, PM. o, secondary aerosols and precursor gases (S02, N02) were compared with observed data derived from a number of networks of monitoring stations operated in the USA and Canada during the episodes . Model evaluation techniques included scatter plots, calculation of temporal and spatial correlation coefficients, bias, index of agreement, RMSE, gross error and visual analysis. • J. Sloan, University of Waterloo, Waterloo, Canada, R. Bloxam, A. Chtcherbakov, S. K. Misra, Ontario Ministry of Environment, Toronto, Canada, M.
As it was in the 1995episodethere is almost exact match in the maximum locations and their values, which stay the same and are in the range 15-16 ug/m'. In general, the model demonstrates reasonably accurate predictions for particulate matter during the episodes, but some secondary aerosols and precursorgases were either higher or lower than the measured data (up to 50% for S02)' The time correlation coefficients for most species were very high and the model also captures the spatial distributions of the surface concentrations, the timing of the evolution of the episodes, and the chemical composition of the aerosols.