Technical Note: The air quality modeling system Polyphemus

Mallet, Vivien; Quélo, Denis; Sportisse, Bruno; Biasi, M. Ahmed de; Debry, &amp;Eacute;.; Korsakissok, Irène; Wu, Lin; Roustan, Yelva; Sartelet, Karine; Tombette, M.; Foudhil, Hadjira

doi:10.5194/acpd-7-6459-2007

Cited by 57 publications

(66 citation statements)

References 25 publications

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“…In the usual configuration, SIREAM includes 5 bins logarithmically distributed over the size spectrum, that ranges from 0.01 µm to 10 µm. All these models are embedded in the POLYPHEMUS system, available at the web adress http://www.enpc.fr/cerea/polyphemus and which is described in Mallet et al (2007). The top height of the model is considered as sufficient as a simple calculation gives that 90% of the aerosol mass is under 3 km of altitude.…”

Section: General Configurationmentioning

confidence: 99%

“…In this paper, we use a 3-D CTM (Polair3D, Boutahar et al, 2004) coupled with a size-resolved aerosol model (SIREAM, Debry et al, 2007) in the framework of the POLYPHEMUS system (Mallet et al, 2007). The system has been evaluated for aerosol outputs (PM 10 , PM 2.5 and chemical composition) and gas-phase species at the ground level for year 2001 over Europe and over Greater Paris .…”

Section: Introductionmentioning

confidence: 99%

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Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

et al. 2008

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Abstract. This paper aims at presenting a model-to-data comparison of the Aerosol Optical Thickness (AOT) and of a few sparse data for Single Scattering Albedo (SSA) over Europe for one year. The main contribution of this paper is the sensitivity study to a large number of parameters, including physical and numerical parameters of the aerosol model itself. The optical parameters are computed from a sizeresolved aerosol model embedded in the POLYPHEMUS system. The methodology is first described, showing that several hypothesis can be made for micro-physical aerosol properties. The simulation is made over one year (2001); statistics and monthly time series for the simulation and AERONET data are used to evaluate the ability of the model to reproduce AOT and vertically averaged SSA fields and their variability. The relation with the uncertainties of measurements is discussed. Then a sensitivity study with respect to the mixing state of the particle, the way to take into account water uptake, numerical parameters and physical parameterizations of the model is carried out. The results indicate that the mixing state of particles has an influence on optical parameters, as well as the computation of the wet diameter. But some physical and numerical parameters associated with the aerosol model itself have even more influence under certain conditions, through the uncertainties on the aerosol chemical composition, and their size distribution.

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Section: General Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

et al. 2008

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“…These socalled plume-in-grid models consist in embedding a localscale model (usually a Gaussian plume or puff model) within an Eulerian 3-D model, in order to treat the plumes at subgrid scale, thus eliminating some of the aforementioned er8918 I. Korsakissok and V. Mallet: Plume-in-grid modeling over Paris employed here has been developed on the air quality modeling system Polyphemus (Mallet et al, 2007). The aim is to provide an easy-to-use, modular model, fit for applications from regional to continental scales, and both for reactive and non-reactive pollutants.…”

Section: Introductionmentioning

confidence: 99%

Development and application of a reactive plume-in-grid model: evaluation over Greater Paris

Korsakissok

Mallet

2010

Atmos. Chem. Phys.

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Abstract.Emissions from major point sources are badly represented by classical Eulerian models. An overestimation of the horizontal plume dilution, a bad representation of the vertical diffusion as well as an incorrect estimate of the chemical reaction rates are the main limitations of such models in the vicinity of major point sources. The plume-in-grid method is a multiscale modeling technique that couples a local-scale Gaussian puff model with an Eulerian model in order to better represent these emissions. We present the plume-in-grid model developed in the air quality modeling system Polyphemus, with full gaseous chemistry. The model is evaluated on the metropolitanÎle-de-France region, during six months (summer 2001). The subgrid-scale treatment is used for 89 major point sources, a selection based on the emission rates of NO x and SO 2 . Results with and without the subgrid treatment of point emissions are compared, and their performance by comparison to the observations on measurement stations is assessed. A sensitivity study is also carried out, on several local-scale parameters as well as on the vertical diffusion within the urban area.Primary pollutants are shown to be the most impacted by the plume-in-grid treatment. SO 2 is the most impacted pollutant, since the point sources account for an important part of the total SO 2 emissions, whereas NO x emissions are mostly due to traffic. The spatial impact of the subgrid treatment is localized in the vicinity of the sources, especially for reactive species (NO x and O 3 ). Ozone is mostly sensitive to the time step between two puff emissions which influences the in-plume chemical reactions, whereas the almost-passive species SO 2 is more sensitive to the injection time, which determines the duration of the subgrid-scale treatment.Correspondence to: I. Korsakissok (korsakissok@cerea.enpc.fr) Future developments include an extension to handle aerosol chemistry, and an application to the modeling of line sources in order to use the subgrid treatment with road emissions. The latter is expected to lead to more striking results, due to the importance of traffic emissions for the pollutants of interest.

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“…over Europe [14]. Its main element is an Eulerian chemistry-transport-model, Polair3D, used for both gaseous and aerosol species.…”

Section: Polyphemusmentioning

confidence: 99%

Benefits of European Climate Policies for Mercury Air Pollution

Rafaj

Cofała

Kuenen³

et al. 2014

Atmosphere

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This paper presents the methodology and results of impact assessment of renewable energy policies on atmospheric emissions of mercury in Europe. The modeling exercise described here involves an interaction of several models. First, a set of energy scenarios has been developed with the REMix (Renewable Energy Mix) model that simulates different levels of penetration of renewable energies in the European power sector. The energy scenarios were input to the GAINS (Greenhouse Gas and Air Pollution Interactions and Synergies) model, which prepared projections of mercury releases to the atmosphere through 2050, based on the current air pollution control policies in each country. Data on mercury emissions from individual sectors were subsequently disaggregated to a fine spatial resolution using various proxy parameters. Finally, the dispersion of mercury in the atmosphere was computed by the chemistry transport model, implemented to the air quality system, Polyphemus. The simulations provided information on changes in concentrations and depositions of various forms of mercury over Europe. Scenarios that simulate a substantial expansion of renewable energies within the power sector indicate extensive co-benefits for mercury abatement, due to the restructuring of the energy system and changes in the fuel mix. The potential for mercury reductions in Europe depends on the rate of fuel switches and renewable technology deployment, but is also influenced by the stringency and timing of the air quality measures. The overall scope for co-benefits is therefore higher in regions relying on coal combustion as a major energy source. OPEN ACCESSAtmosphere 2014, 5 46

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Technical Note: The air quality modeling system Polyphemus

Cited by 57 publications

References 25 publications

Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

Development and application of a reactive plume-in-grid model: evaluation over Greater Paris

Benefits of European Climate Policies for Mercury Air Pollution

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