POEM-PM: an emission model for secondary pollution control scenarios

Carnevale, Claudio; Gabusi, Veronica; Volta, Marialuisa

doi:10.1016/j.envsoft.2004.11.003

Cited by 46 publications

(14 citation statements)

References 22 publications

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“…This task requires a proper spatial/temporal modulation and a chemical profile for each emission source. Therefore, CORINAIR data were pre-processed using the software tool GEM-PP developed by Conte et al (2008) following the methodology suggested by EPA (2002), APAT (2004), Monforti and Pederzoli (2005), Carnevale et al, (2006). Figure 5 depicts the distribution of annual NO X , biogenic and nonbiogenic NMVOC emissions for all macro-sectors, over the simulated domain.…”

Section: Emission Datamentioning

confidence: 99%

A numerical study of the effect of sea breeze circulation on photochemical pollution over a highly industrialized peninsula

Mangia

Schipa

Tanzarella

et al. 2009

Meteorological Applications

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Numerical simulations compared with measurements are used to investigate the effect of sea breeze circulation on the ozone accumulation over a highly industrialized peninsula in southern Italy, where high levels of ozone concentration are often registered. A frequent meteorological phenomenon in this region during weak summer synoptic conditions is the development of complex sea breeze systems from the coastlines, with convergence areas within the peninsula. A case study characterized by strong winds alternating with sea breeze circulations was selected. The simulations show that during weak synoptic conditions, sea breezes transport ozone and its precursors over land from the sea, as well as from the coastlines where the largest industrialized districts are localized. The overlapping breezes lead to ozone accumulation in the area where sea breeze convergence occurs. This may explain the high values of ozone registered close to the sea breeze convergence lines. The comparison between predictions and experimental data indicates that the numerical system successfully reproduces both weather and ground level ozone concentration in different meteorological conditions, resulting in a fundamental tool for both scientific comprehension of the evolution of air contaminants and interpretation of the monitoring data.

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Section: Emission Datamentioning

confidence: 99%

A numerical study of the effect of sea breeze circulation on photochemical pollution over a highly industrialized peninsula

Mangia

Schipa

Tanzarella

et al. 2009

Meteorological Applications

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“…TCAM is a part of the Gas Aerosol Modeling Evaluation System (GAMES) [7] (Figure 2) including also: the meteorological pre-processor PROMETEO, that provides TCAM all the meteorological input fields in the correct spatial-temporal resolution, starting from the output of continental scale models; the emission processor POEM-PM [8]; a boundary condition preprocessor, that computes the boundary conditions for TCAM model in the application domain starting from the simulation of continental scale models. The emission fields are estimated by POEM-PM preprocessor starting from the 2004 CTN emission inventory [9].…”

Section: A Background Fieldmentioning

confidence: 99%

Off-line Data Assimilation to provide the best estimate of tropospheric ozone concentrations by means of EnKF

Candiani

Carnevale

Finzi

et al. 2010

49th IEEE Conference on Decision and Control (CDC)

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Different Data Assimilation techniques have been formalized and applied in the context of complex nonlinear models, to describe chemistry and physics of the atmosphere. In the literature the main approaches presented are based on a) statistical interpolation (SI) techniques, including optimal interpolation methods, residual kriging methods, regression, etc... and on b) variational methods, as well as ensemble methods such as Ensemble Kalman filters (EnKF). The aim of all these methods is to combine various data sources, to provide an optimal estimate of the spatial distribution of a particular pollutant, considering the uncertainties in the measurements as well as in the models. This paper presents the Ensemble Kalman Filter (EnKF) scheme used to assimilate ozone measurements from ground monitoring stations in the simulations performed by an air quality model system. The Data Assimilation scheme has been applied to Northern Italy. Results show that the methodology highly improves the ozone estimation.

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“…& the POEM-PM [4] emission pre-processor & a meteorological chain based on the prognostic Aladin [3] output and the diagnostic CALMET [27] model & an initial and boundary condition pre-processor All the main input data for the pre-processing (emissions, Aladin data and boundary conditions) have been provided to all CityDelta participants by JRC-IES. Table 1 shows the main features of the two CTMs used for the simulations.…”

Section: The Modeling Systemmentioning

confidence: 99%

PM10 Chemical Model Simulations Over Northern Italy in the Framework of the CityDelta Exercise

Angelino

Bedogni²,

Carnevale

et al. 2007

Environ Model Assess

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Within the framework of CityDelta open model inter-comparison exercise, two different atmospheric chemical transport models, comprehensive air quality model with extension and transport chemical aerosol model, have been applied over a domain centred on Milan (North of Italy) as a result of a cooperation of five Italian groups. The two models have shared the same input fields for yearly PM10 simulations. The paper illustrates the analysis of the particulate matter-simulated concentrations and the comparison with the available experimental data.

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POEM-PM: an emission model for secondary pollution control scenarios

Cited by 46 publications

References 22 publications

A numerical study of the effect of sea breeze circulation on photochemical pollution over a highly industrialized peninsula

A numerical study of the effect of sea breeze circulation on photochemical pollution over a highly industrialized peninsula

Off-line Data Assimilation to provide the best estimate of tropospheric ozone concentrations by means of EnKF

PM10 Chemical Model Simulations Over Northern Italy in the Framework of the CityDelta Exercise

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