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Milano, Italy

Moussafir J.,ARIA Technologies | Olry C.,ARIA Technologies | Castanier P.,ARIA Technologies | Tinarelli G.,ARIANET | Perdriel S.,CAIRN Developpement
HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes | Year: 2010

The MSS (Micro-SWIFT-SPRAY) model was originally developed for emergency response purposes, in order to provide a fast dispersion solution taking into account buildings in an Urban Environment, or else in an Industrial area with buildings. The model uses a simplified CFD solution (Micro-SWIFT) to represent the flow fields with metric resolution, and a Lagrangian Particle solution (Micro-SPRAY) to compute the 3D dispersion patterns among the obstacles. The present paper introduces first the current status of development of MSS. Then the results of the long-term applications of this modelling system to several real world cases are presented, where the model is applied sequentially, on an hourly basis, on a sequence of one to three years of meteorological data. This is exactly how a standard Long Term Gaussian or Puff model would be used. A parallel version of this system (PMSS) has been jointly developed by ARIA Technologies and CEA and is now under test for this type of applications. We present the advantages and disadvantages of this solution, which is being packaged as "ARIA Impact 3D". We show how it can make use of fully 3D time-dependent meteorological model solutions, and how it compares with Gaussian and Puff modeling systems. The CPU cost, the use of parallel versions, and the realistic dispersion patterns obtained by the Lagrangian Particle approach are discussed. Source


Nanni A.,ARIANET | Velay-Lasry F.,ARIA Technologies | Eriksson E.,ARIA Technologies | Soudani A.,ANPE | Abid S.,I2E
HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes | Year: 2010

The calculation of road traffic emissions to air has been performed in Tunisia as part of the national emission inventory and for air pollution dispersion modeling purposes. The emissions have been estimated on the basis of a traffic assignment model, including daily traffic volumes and average speeds on the road network and the origin/destination (O/D) values at the sources and sinks of traffic. The road network studied includes virtually all the motorways and main rural roads in Tunisia as well as the major urban roads of Tunis and other main cities. The traffic model simulation has been based on traffic counts taken at a large number of road sections. The availability of such rich experimental data is a guarantee for the accuracy of the traffic model simulation in order to assure coherence among the different measurements, to attribute values to links without traffic counts, and to estimate the O/D matrix (i.e. The boundary conditions capable to extrapolate at best the measured traffic flows over the entire network). An emission model, based on COPERT methodology, has further been used to estimate atmospheric emissions from "line sources" (the links corresponding to the main roads of the network) and "area sources" (zones of aggregation of O/D nodes giving the contribution of diffuse traffic on the secondary roads). Emissions from area sources, have been estimated from the average trip length inside the area and the extension of the secondary road network. Since the COPERT methodology includes fuel consumption factors, the modeling results have been compared to real data. The methodology shows a good correspondence with the national Tunisian statistics on fuel consumption declared for road traffic, with modeling results only 14% higher than the national fuel consumptions declared for the year 2006. The small differences could be explained by the uncertainties in the distribution of traffic densities and vehicle fleet as well as on the hypothesis made on the vehicle speeds. Source


Olry C.,ARIA Technologies | Moussafir J.,ARIA Technologies | Castanier P.,ARIA Technologies | Tinarelli G.,ARIANET | And 2 more authors.
HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes | Year: 2010

The MSS (Micro-SWIFT-SPRAY) model was originally developed for emergency response purposes, in order to provide a fast dispersion solution taking into account buildings in an Urban Environment, or else in an Industrial area with buildings. The model uses a simplified CFD solution (Micro-SWIFT) to represent the flow fields with metric resolution, and a Lagrangian Particle solution (Micro- SPRAY) to compute the 3D dispersion patterns among the obstacles. Photo-catalytic coating techniques (paint, cements) use the properties of TiO2 to produce a significant abatement of NOx in the vicinity of the surface where the coating is applied. An extended set of simulations was performed in cooperation between ARIA Technologies and ITALCEMENTI to examine the abatement performance in various urban situations, such as narrow streets or tunnels, when coating is applied on the ground or on facades or roofs, when traffic is moderate or strong. These simulations have been validated both with field experiments and real world situations (Roma, Berlin). The ensemble of the simulation results have been cast into a library of results which users at ITALCEMENTI can use through a Web interface. This software tool, called EXP'AIR, is presented. Source


Anfossi D.,CNR Institute of atmospheric Sciences and Climate | Tinarelli G.,ARIANET | Castelli S.T.,CNR Institute of atmospheric Sciences and Climate | Ferrero E.,University of Piemonte Orientale | And 3 more authors.
International Journal of Environment and Pollution | Year: 2010

Dispersion in low wind speed conditions is governed by meandering that disperses plumes over wide angular sectors, thus g.l.c. are lower than predicted by Gaussian models. It was proposed to model these dispersion situations in homogeneous conditions with two coupled Langevin equations, based on low wind speed turbulence analysis. Their parameters were derived from the autocorrelation functions of horizontal wind that exhibit an oscillations and large negative lobes. We propose a new equation system for: general case of inhomogeneous turbulence; total velocity; for the windy situations (based on the "Thomson simplest solution") and verify that these new solutions satisfy the "well-mixed condition". Copyright © 2010 Inderscience Enterprises Ltd. Source


Morabito A.,U.S. Environmental Protection Agency | Giua R.,U.S. Environmental Protection Agency | Tanzarella A.,U.S. Environmental Protection Agency | Spagnolo S.,U.S. Environmental Protection Agency | And 8 more authors.
Proceedings of the 15th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2013 | Year: 2013

Dispersion models based on emission inventories and meteorological fields are the primary tool of control agencies to support air quality assessment and source apportionment in complex industrial areas. In this work, a modelling system has been applied to estimate the annual contribution to the total concentrations of different pollutant sources in Taranto, one of the most industrialized areas in Italy, where typical urban emissions are superimposed on industrial ones located in proximity of the city boundary. Main industrial activities consist of an integrated steel plant (one of the largest in Europe) and an oil refinery, together with other smaller industrial facilities which use the Taranto harbour to unload primar y goods and to deliver final products. Modelling system includes the meteorological models SWIFT-SURFPRO and the Lagrangian particle dispersion model SPRAY. The air emissions inventory is partially established using local activity indicators and emission factors. The resolution level of the data is the municipality. In particular, in this study industrial sources (point sources and fugitive), traffic, domestic heating and harbour emissions have been taken into account. The meteorology in the studied area was reconstructed by the SWIFT model from the tridimensional meteorological products supplied, for the year 2007, by the national MINNI project. The annual simulation led to the identification of the main emitting sources and to the source-apportionment of primary pollutants at selected receptor sites, belonging to the air quality monitoring network. Industrial activities were found to be the principal contributor to SO2 emissions. Industry and traffic emissions were, for the most part, responsible for NOx simulated concentrations, while primary PM10 and PM2.5 simulated concentrations appeared to be linked to industrial emissions. Finally, in order to demonstrate the level of representativeness of the system used in this study, the model predictions were compared with measured air quality data. Source

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