Assessment of the AMS-MINNI system capabilities to simulate air quality over Italy for the calendar year 2005

Mircea, Mihaela; Ciancarella, Luisella; Briganti, Gino; Calori, G.; Cappelletti, Andrea; Cionni, Irene; Costa, M.P.; Cremona, Giuseppe; D’Isidoro, Massimo; Finardi, S.; Pace, Giandomenico; Piersanti, Antonio; Righini, Gaia; Silibello, Camillo; Vitali, Lina; Zanini, Gabriele

doi:10.1016/j.atmosenv.2013.11.006

Cited by 62 publications

(28 citation statements)

References 46 publications

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“…Since a large part of the contribution to many impacts (especially AP, PM/RI and POFP) actually is due to emissions derived from biogas production and combustion, these should be tackled with technological improvements such as higher conversion efficiencies and better combustion technologies to reduce NOx and methane slip. This is particularly relevant in the area under analysis given the specific issues of PM concentration and ozone formation in the Po Valley [72].…”

Section: Discussionmentioning

confidence: 99%

Environmentally Sustainable Biogas? The Key Role of Manure Co-Digestion with Energy Crops

et al. 2015

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Abstract:We analysed the environmental impacts of three biogas systems based on dairy manure, sorghum and maize. The geographical scope of the analysis is the Po valley, in Italy. The anaerobic digestion of manure guarantees high GHG (Green House Gases) savings thanks to the avoided emissions from the traditional storage and management of raw manure as organic fertiliser. GHG emissions for maize and sorghum-based systems, on the other hand, are similar to those of the Italian electricity mix. In crop-based systems, the plants with open-tank storage of digestate emit 50% more GHG than those with gas-tight tanks. In all the environmental impact categories analysed (acidification, particulate matter emissions, and eutrophication), energy crops based systems have much higher impacts than the Italian electricity mix. Maize-based systems cause higher impacts than sorghum, due to more intensive cultivation. Manure-based pathways have always lower impacts than the energy crops based pathways, however, all biogas systems cause much higher impacts than the current Italian electricity mix. We conclude that manure digestion OPEN ACCESSEnergies 2015, 8 5235 is the most efficient way to reduce GHG emissions; although there are trade-offs with other local environmental impacts. Biogas production from crops; although not providing environmental benefits per se; may be regarded as an option to facilitate the deployment of manure digestion.

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Section: Discussionmentioning

confidence: 99%

Environmentally Sustainable Biogas? The Key Role of Manure Co-Digestion with Energy Crops

et al. 2015

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“…This study uses the air quality model Flexible Air quality Regional Model (FARM; Silibello et al 2008Silibello et al , 2012Gariazzo et al 2007;Kukkonen et al 2012), part of the AMS-MINNI (Mircea et al 2014) which includes other components such as the meteorological model Regional Atmospheric Modelling System (RAMS, version 6.0; Cotton et al 2003), SURFace-atmosphere interface PROcessor (SURFPro; Finardi et al 2005) and the emission processor EMission MAnager (EMMA; ARIA/ARIANET 2006).…”

Section: Model Description and Simulation Setupmentioning

confidence: 99%

“…The inventory contains emissions of NO X , SO X , PM10, CO, NMVOC, PAHs and HMs associated to point and diffuse sources, subdivided by activity sectors. Anthropogenic HM emissions have been prepared with the same methodology used by Silibello et al (2012) and Mircea et al (2014) for PAHs and the other pollutants, respectively. For the surrounding countries included in the domains of simulations, the emissions have been based on the official data retrieved from the EMEP Centre on Emission Inventories and Projections (CEIP) [http://www.ceip.at]: the EMEP MSC-E for PAHs and HMs (Ilyin et al 2011), and MSC-W for all other pollutants.…”

Section: Model Description and Simulation Setupmentioning

confidence: 99%

Heavy Metal Modelling Study over Italy: Effects of Grid Resolution, Lateral Boundary Conditions and Foreign Emissions on Air Concentrations

Adani

Mircea

D’Isidoro

et al. 2015

Water Air Soil Pollut

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Heavy metals (HMs) are pollutants that have both anthropogenic and natural sources. In the last decade, the European Commission (EC) has imposed limit and target values for some of them that are toxic both for humans and for the environment. This study aims to assess the HM concentrations over Italy by means of the atmospheric modelling system (AMS) of the MINNI project. The AMS is based on the chemical transport model (CTM) FARM. The sensitivity of model simulations to horizontal grid resolution, lateral boundary conditions and the contribution of emissions from neighbouring countries has been also evaluated. The simulations have been carried out for the year 2005 considering a spatial resolution of 20 km over the Italian domain and 4 km over northern Italy (Po Valley). The CTM has been extended to take into account the HMs considered by EC directives such as arsenic (As), cadmium (Cd), nickel (Ni) and lead (Pb). Both anthropogenic and natural emissions have been considered in this study. Model results have been compared with available observations. Results show realistic concentration of HMs and suggest the importance of using boundary conditions, while foreign emissions have less impact. In addition, the present work highlights the necessity of more observations in space and time for a comprehensive validation of the model. High-resolution simulation gives more realistic pattern with respect to the lowresolution one for the highly polluted areas. However, future improvements require a better knowledge of the space/time distribution of the emissions, currently not available.

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“…Annual mean PM 10 and O 3 concentration data for the year 2010 with a spatial resolution of 4 km were produced by the AMS-MINNI modelling system [46]. Starting from institutional emission inventories and simulated meteorological data, the model simulates atmospheric chemical and physical processes, providing air pollutant concentrations.…”

Section: Air Pollutant Concentrationmentioning

confidence: 99%

Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level

et al. 2017

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This study is the follow up of the URBAN-MAES pilot implemented in the framework of the EnRoute project. The study aims at mapping and assessing the process of particulate matter (PM 10 ) and tropospheric ozone (O 3 ) removal by various forest and shrub ecosystems. Different policy levels and environmental contexts were considered, namely the Metropolitan city of Rome and, at a wider level, the Latium region. The approach involves characterization of the main land cover and ecosystems using Sentinel-2 images, enabling a detailed assessment of Ecosystem Service (ES), and monetary valuation based on externality values. The results showed spatial variations in the pattern of PM 10 and O 3 removal inside the Municipality and in the more rural Latium hinterland, reflecting the spatial dynamics of the two pollutants. Evergreen species displayed higher PM 10 removal efficiency, whereas deciduous species showed higher O 3 absorption in both rural and urban areas. The overall pollution removal accounted for 5123 and 19,074 Mg of PM 10 and O 3 , respectively, with a relative monetary benefit of 161 and 149 Million Euro for PM 10 and O 3 , respectively. Our results provide spatially explicit evidence that may assist policymakers in land-oriented decisions towards improving Green Infrastructure and maximizing ES provision at different governance levels.

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Assessment of the AMS-MINNI system capabilities to simulate air quality over Italy for the calendar year 2005

Cited by 62 publications

References 46 publications

Environmentally Sustainable Biogas? The Key Role of Manure Co-Digestion with Energy Crops

Environmentally Sustainable Biogas? The Key Role of Manure Co-Digestion with Energy Crops

Heavy Metal Modelling Study over Italy: Effects of Grid Resolution, Lateral Boundary Conditions and Foreign Emissions on Air Concentrations

Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level

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