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Martín F, Janssen S, Rodrigues V, Sousa J, Santiago JL, Rivas E, Stocker J, Jackson R, Russo F, Villani MG, Tinarelli G, Barbero D, José RS, Pérez-Camanyo JL, Santos GS, Bartzis J, Sakellaris I, Horváth Z, Környei L, Liszkai B, Kovács Á, Jurado X, Reiminger N, Thunis P, Cuvelier C. Using dispersion models at microscale to assess long-term air pollution in urban hot spots: A FAIRMODE joint intercomparison exercise for a case study in Antwerp. Sci Total Environ 2024; 925:171761. [PMID: 38494008 DOI: 10.1016/j.scitotenv.2024.171761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/08/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
In the framework of the Forum for Air Quality Modelling in Europe (FAIRMODE), a modelling intercomparison exercise for computing NO2 long-term average concentrations in urban districts with a very high spatial resolution was carried out. This exercise was undertaken for a district of Antwerp (Belgium). Air quality data includes data recorded in air quality monitoring stations and 73 passive samplers deployed during one-month period in 2016. The modelling domain was 800 × 800 m2. Nine modelling teams participated in this exercise providing results from fifteen different modelling applications based on different kinds of model approaches (CFD - Computational Fluid Dynamics-, Lagrangian, Gaussian, and Artificial Intelligence). Some approaches consisted of models running the complete one-month period on an hourly basis, but most others used a scenario approach, which relies on simulations of scenarios representative of wind conditions combined with post-processing to retrieve a one-month average of NO2 concentrations. The objective of this study is to evaluate what type of modelling system is better suited to get a good estimate of long-term averages in complex urban districts. This is very important for air quality assessment under the European ambient air quality directives. The time evolution of NO2 hourly concentrations during a day of relative high pollution was rather well estimated by all models. Relative to high resolution spatial distribution of one-month NO2 averaged concentrations, Gaussian models were not able to give detailed information, unless they include building data and street-canyon parameterizations. The models that account for complex urban geometries (i.e. CFD, Lagrangian, and AI models) appear to provide better estimates of the spatial distribution of one-month NO2 averages concentrations in the urban canopy. Approaches based on steady CFD-RANS (Reynolds Averaged Navier Stokes) model simulations of meteorological scenarios seem to provide good results with similar quality to those obtained with an unsteady one-month period CFD-RANS simulations.
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Affiliation(s)
- F Martín
- CIEMAT, Research Center for Energy, Environment and Technology, Avenida Complutense 40, 28040 Madrid, Spain.
| | - S Janssen
- VITO NV, Flemish Institute for Research and Technology, Boeretang 200, 2400 Mol, Belgium
| | - V Rodrigues
- CESAM & Department of Environment and Planning, University of Aveiro, 3810-193 Aveiro, Portugal
| | - J Sousa
- VITO NV, Flemish Institute for Research and Technology, Boeretang 200, 2400 Mol, Belgium
| | - J L Santiago
- CIEMAT, Research Center for Energy, Environment and Technology, Avenida Complutense 40, 28040 Madrid, Spain
| | - E Rivas
- CIEMAT, Research Center for Energy, Environment and Technology, Avenida Complutense 40, 28040 Madrid, Spain
| | - J Stocker
- Cambridge Environmental Research Consultants (CERC), UK
| | - R Jackson
- Cambridge Environmental Research Consultants (CERC), UK
| | - F Russo
- ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 40129 Bologna, Italy
| | - M G Villani
- ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 40129 Bologna, Italy
| | - G Tinarelli
- ARIANET S.r.l., via Crespi 57, 20159 Milano, Italy
| | - D Barbero
- ARIANET S.r.l., via Crespi 57, 20159 Milano, Italy
| | - R San José
- Computer Science School, Technical University of Madrid (UPM), Campus de Montegancedo, s/n, 28660 Madrid, Spain
| | - J L Pérez-Camanyo
- Computer Science School, Technical University of Madrid (UPM), Campus de Montegancedo, s/n, 28660 Madrid, Spain
| | - G Sousa Santos
- NILU - The Climate and Environmental Research Institute, Norway
| | - J Bartzis
- University of Western Macedonia (UOWM), Dept. of Mechanical Engineering, Sialvera & Bakola Str., 50132 Kozani, Greece
| | - I Sakellaris
- University of Western Macedonia (UOWM), Dept. of Mechanical Engineering, Sialvera & Bakola Str., 50132 Kozani, Greece
| | - Z Horváth
- SZE, Széchenyi István University, Győr, Hungary
| | - L Környei
- SZE, Széchenyi István University, Győr, Hungary
| | - B Liszkai
- SZE, Széchenyi István University, Győr, Hungary
| | - Á Kovács
- SZE, Széchenyi István University, Győr, Hungary
| | | | - N Reiminger
- AIR&D, Strasbourg, France; ICUBE Laboratory, UMR 7357, CNRS/University of Strasbourg, F-67000 Strasbourg, France
| | - P Thunis
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | - C Cuvelier
- European Commission, Joint Research Centre (JRC), Ispra, Italy
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Renzi M, Tinarelli G, Bauleo L, Maio S, Gariazzo C, Stafoggia M, Galise I, Serinelli M, Morabito A, Nocioni A, Viegi G, Michelozzi P, Ancona C. [Short-term effects of PM10 on cause-specific mortality and the role of long-term environmental pressures in the industrial areas of Brindisi and Civitavecchia]. Epidemiol Prev 2023; 47:27-34. [PMID: 38639298 DOI: 10.19191/ep23.6.s3.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
OBJECTIVES the health status of people living near industrial plants is often exposed to several environmental risk factors, including air pollution. The aim of this study is to assess the relationship between daily PM10 levels and cause-specific mortality in a selection of municipalities near two industrial plants from 2006 to 2015. DESIGN a time-series design with Poisson regression adjusted for a predefined set of confounders was used to quantify the association between exposure, calculated as daily PM10 levels extrapolated from machine-learning models using satellite data, and cause-specific mortality. SETTING AND PARTICIPANTS twenty municipalities near the thermal power plants in Civitavecchia and Brindisi were selected. The municipalities were then divided into three scenarios of chronic exposure derived from SPRAY simulation models of pollutant deposition. MAIN OUTCOME MEASURES daily cause-specific non-accidental, cardiovascular, and respiratory deaths defined according to the International Classification of Diseases code at the municipality level. RESULTS a total of 41,942 deaths were observed in the entire area (10,503 in the Civitavecchia area and 31,439 in the Brindisi area), of which approximately 41% were due to cardiovascular causes and 8% due to respiratory causes. The association showed an increase in shortterm effects in municipalities with higher chronic levels of pollution exposure. For example, risk estimates reported as percentage increases per 10-unit increase in PM10 were 6.7% (95% CI 0.9, 12.7%) in scenario 3 (highest exposure) compared to 4.2% (-1.2, 9.9%) and 2.7% (-4.2, 10.2%) in scenarios 2 and 1, respectively, in the area near the Civitavecchia plant. Similar effects were observed for the Brindisi area. CONCLUSIONS despite the well-documented relationship between short-term pollution and mortality, it appears that greater chronic exposure to industrial pollutants leads to increased short-term effects of PM10. The limited number of events suggests that this study could serve as a starting point for a larger investigation.
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Affiliation(s)
- Matteo Renzi
- Dipartimento di Epidemiologia SSR Lazio, ASL Roma1, Roma;
| | | | - Lisa Bauleo
- Dipartimento di Epidemiologia SSR Lazio, ASL Roma1, Roma
| | - Sara Maio
- Istituto di fisiologia clinica, CNR, Pisa
| | - Claudio Gariazzo
- Dipartimento di medicina, epidemiologia, igiene del lavoro e ambientale, Inail, Roma
| | | | - Ida Galise
- Agenzia regionale per la prevenzione e protezione dell'ambiente della Regione Puglia, Bari
| | - Meri Serinelli
- Agenzia regionale per la prevenzione e protezione dell'ambiente della Regione Puglia, Bari
| | - Angela Morabito
- Agenzia regionale per la prevenzione e protezione dell'ambiente della Regione Puglia, Bari
| | - Alessandra Nocioni
- Agenzia regionale per la prevenzione e protezione dell'ambiente della Regione Puglia, Bari
| | | | | | - Carla Ancona
- Dipartimento di Epidemiologia SSR Lazio, ASL Roma1, Roma
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Renzi M, Scortichini M, Forastiere F, De' Donato F, Michelozzi P, Davoli M, Gariazzo C, Viegi G, Stafoggia M, Ancona C, Bucci S, De' Donato F, Michelozzi P, Renzi M, Scortichini M, Stafoggia M, Bonafede M, Gariazzo C, Marinaccio A, Argentini S, Sozzi R, Bonomo S, Fasola S, Forastiere F, La Grutta S, Viegi G, Cernigliaro A, Scondotto S, Baldacci S, Maio S, Licitra G, Moro A, Angelini P, Bonvicini L, Broccoli S, Ottone M, Rossi PG, Colacci A, Parmagnani F, Ranzi A, Galassi C, Migliore E, Bisceglia L, Chieti A, Brusasca G, Calori G, Finardi S, Nanni A, Pepe N, Radice P, Silibello C, Tinarelli G, Uboldi F, Carlino G. A nationwide study of air pollution from particulate matter and daily hospitalizations for respiratory diseases in Italy. Sci Total Environ 2022; 807:151034. [PMID: 34666080 DOI: 10.1016/j.scitotenv.2021.151034] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 10/05/2021] [Accepted: 10/13/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND/AIM The relationship between air pollution and respiratory morbidity has been widely addressed in urban and metropolitan areas but little is known about the effects in non-urban settings. Our aim was to assess the short-term effects of PM10 and PM2.5 on respiratory admissions in the whole country of Italy during 2006-2015. METHODS We estimated daily PM concentrations at the municipality level using satellite data and spatiotemporal predictors. We collected daily counts of respiratory hospital admissions for each Italian municipality. We considered five different outcomes: all respiratory diseases, asthma, chronic obstructive pulmonary disease (COPD), lower and upper respiratory tract infections (LRTI and URTI). Meta-analysis of province-specific estimates obtained by time-series models, adjusting for temperature, humidity and other confounders, was applied to extrapolate national estimates for each outcome. At last, we tested for effect modification by sex, age, period, and urbanization score. Analyses for PM2.5 were restricted to 2013-2015 cause the goodness of fit of exposure estimation. RESULTS A total of 4,154,887 respiratory admission were registered during 2006-2015, of which 29% for LRTI, 12% for COPD, 6% for URTI, and 3% for asthma. Daily mean PM10 and PM2.5 concentrations over the study period were 23.3 and 17 μg/m3, respectively. For each 10 μg/m3 increases in PM10 and PM2.5 at lag 0-5 days, we found excess risks of total respiratory diseases equal to 1.20% (95% confidence intervals, 0.92, 1.49) and 1.22% (0.76, 1.68), respectively. The effects for the specific diseases were similar, with the strongest ones for asthma and COPD. Higher effects were found in the elderly and in less urbanized areas. CONCLUSIONS Short-term exposure to PM is harmful for the respiratory system throughout an entire country, especially in elderly patients. Strong effects can be found also in less urbanized areas.
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Affiliation(s)
- Matteo Renzi
- Department of Epidemiology, ASL Rome 1, Local Health Authority, Lazio Region, Italy.
| | - Matteo Scortichini
- Department of Epidemiology, ASL Rome 1, Local Health Authority, Lazio Region, Italy
| | - Francesco Forastiere
- CNR Institute of Biomedical Research and Innovation (IRIB), Palermo, Italy; Environmental Research Group, School of Public Health, Imperial College, London, UK
| | - Francesca De' Donato
- Department of Epidemiology, ASL Rome 1, Local Health Authority, Lazio Region, Italy
| | - Paola Michelozzi
- Department of Epidemiology, ASL Rome 1, Local Health Authority, Lazio Region, Italy
| | - Marina Davoli
- Department of Epidemiology, ASL Rome 1, Local Health Authority, Lazio Region, Italy
| | - Claudio Gariazzo
- Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Monteporzio Catone (RM), Italy
| | - Giovanni Viegi
- CNR Institute of Biomedical Research and Innovation (IRIB), Palermo, Italy; CNR Institute of Clinical Physiology (IFC), Pisa, Italy
| | - Massimo Stafoggia
- Department of Epidemiology, ASL Rome 1, Local Health Authority, Lazio Region, Italy
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Invernizzi M, Tagliaferri F, Sironi S, Tinarelli G, Capelli L. Simulating Pollutant Dispersion from Accidental Fires with a Focus on Source Characterization. J Health Pollut 2021; 11:210612. [PMID: 34267999 PMCID: PMC8276722 DOI: 10.5696/2156-9614-11.30.210612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 04/05/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Storage tanks in oil and gas processing facilities contain large volumes of flammable compounds. Once the fuel-air mixture is ignited, it may break out into a large fire or explosion. The growing interest in monitoring air quality and assessing health risks makes the evaluation of the consequences of a fire an important issue. Atmospheric dispersion models, which allow for simulation of the spatial distribution of pollutants, represent an increasingly widespread tool for this type of evaluations. OBJECTIVES The present study discusses the set up and results of a modeling study relevant to a hypothesized fire in an oil refinery. METHODS After choosing the most suitable dispersion models, i.e. the Lagrangian model SPRAY and the puff model CALPUFF, estimation of the required input data is discussed, focusing on the source variables, which represent the most uncertain input data. The results of the simulations were compared to regulatory limits to effectively evaluate the environmental consequences. Finally, a sensitivity analysis was employed to identify the most influential variables. RESULTS The simulation results revealed that ground concentration values were far below the cited long-term limits. However, the most interesting outcome is that depending on the dispersion model and the source type modeled, different results may be obtained. In addition, the sensitivity study indicates that the source area is the most critical variable, since it determines a significantly different behavior depending on the modeled source types, producing, in some cases, variability in the pollutant ground concentrations on selected receptors up to +/- 60%. CONCLUSIONS Depending on the selected model and the algorithms available to describe the physics of emission, the results showed a different sensitivity to the input variables. Although this can be explained from a mathematical point of view, the problem remains of choosing case by case the option that best approximates the real behavior of the incidental source under investigation. COMPETING INTERESTS The authors declare no competing financial interests.
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Affiliation(s)
- Marzio Invernizzi
- Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Milan, Italy
| | - Francesca Tagliaferri
- Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Milan, Italy
| | - Selena Sironi
- Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Milan, Italy
| | | | - Laura Capelli
- Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Milan, Italy
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Gariazzo C, Carlino G, Silibello C, Tinarelli G, Renzi M, Finardi S, Pepe N, Barbero D, Radice P, Marinaccio A, Forastiere F, Michelozzi P, Viegi G, Stafoggia M. Impact of different exposure models and spatial resolution on the long-term effects of air pollution. Environ Res 2021; 192:110351. [PMID: 33130163 DOI: 10.1016/j.envres.2020.110351] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 09/21/2020] [Accepted: 10/13/2020] [Indexed: 06/11/2023]
Abstract
Long-term exposure to air pollution has been related to mortality in several epidemiological studies. The investigations have assessed exposure using various methods achieving different accuracy in predicting air pollutants concentrations. The comparison of the health effects estimates are therefore challenging. This paper aims to compare the effect estimates of the long-term effects of air pollutants (particulate matter with aerodynamic diameter less than 10 μm, PM10, and nitrogen dioxide, NO2) on cause-specific mortality in the Rome Longitudinal Study, using exposure estimates obtained with different models and spatial resolutions. Annual averages of NO2 and PM10 were estimated for the year 2015 in a large portion of the Rome urban area (12 × 12 km2) applying three modelling techniques available at increasing spatial resolution: 1) a chemical transport model (CTM) at 1km resolution; 2) a land-use random forest (LURF) approach at 200m resolution; 3) a micro-scale Lagrangian particle dispersion model (PMSS) taking into account the effect of buildings structure at 4 m resolution with results post processed at different buffer sizes (12, 24, 52, 100 and 200 m). All the exposures were assigned at the residential addresses of 482,259 citizens of Rome 30+ years of age who were enrolled on 2001 and followed-up till 2015. The association between annual exposures and natural-cause, cardiovascular (CVD) and respiratory (RESP) mortality were estimated using Cox proportional hazards models adjusted for individual and area-level confounders. We found different distributions of both NO2 and PM10 concentrations, across models and spatial resolutions. Natural cause and CVD mortality outcomes were all positively associated with NO2 and PM10 regardless of the model and spatial resolution when using a relative scale of the exposure such as the interquartile range (IQR): adjusted Hazard Ratios (HR), and 95% confidence intervals (CI), of natural cause mortality, per IQR increments in the two pollutants, ranged between 1.012 (1.004, 1.021) and 1.018 (1.007, 1.028) for the different NO2 estimates, and between 1.010 (1.000, 1.020) and 1.020 (1.008, 1.031) for PM10, with a tendency of larger effect for lower resolution exposures. The latter was even stronger when a fixed value of 10 μg/m3 is used to calculate HRs. Long-term effects of air pollution on mortality in Rome were consistent across different models for exposure assessment, and different spatial resolutions.
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Affiliation(s)
- Claudio Gariazzo
- Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Monte Porzio Catone (RM), Italy.
| | | | | | | | - Matteo Renzi
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | | | | | | | | | - Alessandro Marinaccio
- Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Monte Porzio Catone (RM), Italy
| | - Francesco Forastiere
- Institute for Biomedical Research and Innovation (IRIB), National Research Council, Palermo, Italy; Environmental Research Group, School of Public Health, Imperial College, London, UK
| | - Paola Michelozzi
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Giovanni Viegi
- Institute for Biomedical Research and Innovation (IRIB), National Research Council, Palermo, Italy; Institute of Clinical Physiology (IFC), National Research Council, Pisa, Italy
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy
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Carriero G, Neri L, Famulari D, Di Lonardo S, Piscitelli D, Manco A, Esposito A, Chirico A, Facini O, Finardi S, Tinarelli G, Prandi R, Zaldei A, Vagnoli C, Toscano P, Magliulo V, Ciccioli P, Baraldi R. Composition and emission of VOC from biogas produced by illegally managed waste landfills in Giugliano (Campania, Italy) and potential impact on the local population. Sci Total Environ 2018; 640-641:377-386. [PMID: 29864655 DOI: 10.1016/j.scitotenv.2018.05.318] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 05/25/2018] [Accepted: 05/25/2018] [Indexed: 06/08/2023]
Abstract
The composition in Volatile Organic Compounds (VOC) of the biogas produced by seven landfills of Giugliano (Naples, Campania, Italy) was determined and VOC emission rates assessed to verify if these compounds represent a potential threat to the population living nearby. VOC composition in the biogas could not be predicted, as heterogeneous waste was dumped from the late 1980s to the early 2000s and then underwent biological degradation. No data are available on the amount and composition of VOC in the biogas before the landfills closure as no operational biogas collection system was present. In this study, VOC composition was determined by gas chromatography-mass spectrometry (GC-MS), after collecting samples from collection pipes and from soil fractures in cover soil or capping. Individual VOC were quantified and data compared with those collected at two landfills in Latium, when they were still in operation. Relevant differences were observed, mainly due to waste aging, but no specific VOC revealing toxic waste dumping was found, although the concurrent presence of certain compounds suggested that dumping of industrial wastes might have occurred. The average VOC emission was assessed and a dispersion model was run to find out if the emitted plume could affect the health of population. The results suggested that fugitive emissions did not represent a serious danger, since the concentrations simulated at the neighboring cities were below the threshold limits for acute and chronic diseases. However, VOC plume could cause annoyance at night when the steady state conditions of the atmosphere enhance pollutants accumulation in the lower layers. In addition, some of the emitted VOC, such as alkylbenzenes and monoterpenes, can contribute to tropospheric ozone formation.
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Affiliation(s)
- Giulia Carriero
- CNR-IBIMET, Istituto di Biometeorologia, via Piero Gobetti 101, I-40129 Bologna, Italy.
| | - Luisa Neri
- CNR-IBIMET, Istituto di Biometeorologia, via Piero Gobetti 101, I-40129 Bologna, Italy.
| | - Daniela Famulari
- CNR-ISAFOM, Istituto per i Sistemi Agricoli e Forestali del Mediterraneo, via Patacca 85, 80056 Ercolano, NA, Italy.
| | - Sara Di Lonardo
- CNR-IBIMET, Istituto di Biometeorologia, via Giovanni Caproni 8, 50145 Firenze, Italy.
| | - Daniela Piscitelli
- CNR-ISAFOM, Istituto per i Sistemi Agricoli e Forestali del Mediterraneo, via Patacca 85, 80056 Ercolano, NA, Italy.
| | - Antonio Manco
- CNR-ISAFOM, Istituto per i Sistemi Agricoli e Forestali del Mediterraneo, via Patacca 85, 80056 Ercolano, NA, Italy
| | - Andrea Esposito
- CNR-ISAFOM, Istituto per i Sistemi Agricoli e Forestali del Mediterraneo, via Patacca 85, 80056 Ercolano, NA, Italy.
| | - Adriano Chirico
- CNR-ISAFOM, Istituto per i Sistemi Agricoli e Forestali del Mediterraneo, via Patacca 85, 80056 Ercolano, NA, Italy
| | - Osvaldo Facini
- CNR-IBIMET, Istituto di Biometeorologia, via Piero Gobetti 101, I-40129 Bologna, Italy.
| | | | | | | | - Alessandro Zaldei
- CNR-IBIMET, Istituto di Biometeorologia, via Giovanni Caproni 8, 50145 Firenze, Italy.
| | - Carolina Vagnoli
- CNR-IBIMET, Istituto di Biometeorologia, via Giovanni Caproni 8, 50145 Firenze, Italy.
| | - Piero Toscano
- CNR-IBIMET, Istituto di Biometeorologia, via Giovanni Caproni 8, 50145 Firenze, Italy.
| | - Vincenzo Magliulo
- CNR-ISAFOM, Istituto per i Sistemi Agricoli e Forestali del Mediterraneo, via Patacca 85, 80056 Ercolano, NA, Italy.
| | - Paolo Ciccioli
- CNR-IMC, Istituto di Metodologie Chimiche, via Salaria 0015, Monterotondo, RM, Italy.
| | - Rita Baraldi
- CNR-IBIMET, Istituto di Biometeorologia, via Piero Gobetti 101, I-40129 Bologna, Italy.
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Tinarelli G, Mortarini L, Castelli ST, Carlino G, Moussafir J, Olry C, Armand P, Anfossi D. Review and Validation of MicroSpray, a Lagrangian Particle Model of Turbulent Dispersion. Lagrangian Modeling of the Atmosphere 2013. [DOI: 10.1029/2012gm001242] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Tinarelli G, Piersanti A, Radice P, Clemente M, De Maria R. Microscale modelling simulations for the site characterization of air quality stations in an urban environment. Radiat Prot Dosimetry 2009; 137:294-299. [PMID: 19864332 DOI: 10.1093/rpd/ncp225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
The presence of natural or artificial barriers placed near the air quality measuring stations located in an urban environment poses some problems in the assessment of their siting and significance. The atmospheric flow distortion induced by these structures can create situations that affect the concentration levels of measured pollutants. A modelling study at microscale of the pollutant dispersion in an urban environment has been performed to quantify these possible effects on measurements. The target domain is located in a central section of the city of Turin (northern Italy) around via della Consolata, near the location of an existing station of the regional monitoring network. The study involved the use of the modelling system Micro-Swift-Spray, which takes into account the presence of complex topographical barriers, including street canyons and squares surrounded by buildings. Two entire days have been simulated, to characterise both a critical and a more standard condition, with reconstruction of average flow, turbulence and hourly ground-level pollutant concentrations. Contributions from both traffic and building-heating sources have been considered and a comparison with measured concentrations has been performed to verify the representativeness of the measuring station with respect to both average conditions and spatial variability inside the considered region, otherwise very difficult to asses through a single and isolated measuring point.
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Affiliation(s)
- G Tinarelli
- Arianet S.r.l., via Gilino 9, 20134 Milano, Italy.
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9
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Nanni A, Brusasca G, Calori G, Finardi S, Tinarelli G, Zublena M, Agnesod G, Pession G. Integrated assessment of traffic impact in an Alpine region. Sci Total Environ 2004; 334-335:465-471. [PMID: 15504532 DOI: 10.1016/j.scitotenv.2004.04.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/01/2004] [Indexed: 05/24/2023]
Abstract
This paper reports the results of an integrated assessment of traffic impact on a tourist-popular high altitude region which includes mountain passes and road tunnels. A modeling system for air quality assessment and management has been established and revised. The system has been used to evaluate the impact of traffic due to the re-opening of the Mont Blanc tunnel: the increase in NO(x) concentrations ranges from 50% at the bottom of the upper valley to 150% near to tunnel entrance.
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Affiliation(s)
- A Nanni
- ARIANET Srl, Via Gilino, 9-20128 Milano, Italy.
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10
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Tinarelli G, Anfossi D, Brusasca G, Ferrero E, Giostra U, Morselli MG, Moussafir J, Trombetti F, Tampieri F. Lagrangian Particle Simulation of Tracer Dispersion in the Lee of a Schematic Two-Dimensional Hill. ACTA ACUST UNITED AC 1994. [DOI: 10.1175/1520-0450(1994)033<0744:lpsotd>2.0.co;2] [Citation(s) in RCA: 52] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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11
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Anfossi D, Ferrero E, Brusasca G, Marzorati A, Tinarelli G. A simple way of computing buoyant plume rise in Lagrangian stochastic dispersion models. ACTA ACUST UNITED AC 1993. [DOI: 10.1016/0960-1686(93)90130-q] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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12
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Anfossi D, Ferrero E, Brusasca G, Tinarelli G, Tampieri F, Trombetti F, Giostra U. Dispersion simulation of a wind tunnel experiment with Lagrangian particle models. ACTA ACUST UNITED AC 1992. [DOI: 10.1007/bf02507609] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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13
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Anfossi D, Brusasca G, Tinarelli G. Simulation of atmospheric diffusion in low windspeed meandering conditions by a Monte Carlo dispersion model. ACTA ACUST UNITED AC 1990. [DOI: 10.1007/bf02514787] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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14
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Brusasca G, Tinarelli G, Anfossi D. Comparison between the results of a Monte Carlo atmospheric diffusion model and tracer experiments. ACTA ACUST UNITED AC 1989. [DOI: 10.1016/0004-6981(89)90151-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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15
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Bracchetti A, Tinarelli G, Bracchetti G, Olivi C, Bracchetti V. [Analysis of the frontal plane]. Attual Dent 1988; 4:43, 45. [PMID: 3250591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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16
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Bracchetti A, Tinarelli G, Bracchetti G, Bracchetti V, Olivi C. [Analysis of the sagittal plane]. Attual Dent 1987; 3:52-9. [PMID: 3483627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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17
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Bracchetti A, Tinarelli G, Olivi C, Bracchetti C, Bracchetti V. [Occlusal relations in excursive movements]. Attual Dent 1987; 3:67-8, 70-1. [PMID: 3483618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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18
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Bracchetti A, Tinarelli G, Bracchetti V, Olivi C, Bracchetti G. [Occlusal morphology in the position of maximum intercuspidization]. Attual Dent 1987; 3:56-7, 59-61. [PMID: 3483612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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19
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Brusasca G, Tinarelli G, Anfossi D, Zannetti P. Particle modeling simulation of atmospheric dispersion using the MC-LAGPAR package. ACTA ACUST UNITED AC 1987. [DOI: 10.1016/0266-9838(87)90017-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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20
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Bracchetti A, Tinarelli G, Bracchetti G, Olivi C, Bracchetti V. [Occlusal determinants]. Attual Dent 1987; 3:47-9. [PMID: 3483608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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21
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Borozzino G, Pinatti C, Tinarelli G, Frascella P, Olivi C. [To the root of caries]. Attual Dent 1985; 1:48-9, 51-3. [PMID: 3869042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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22
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Frezza FM, Frascella P, Tinarelli G, Olivi C. [Carcinoma of the tongue]. Attual Dent 1985; 1:56-8. [PMID: 3869038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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23
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Vaeriani A, Pignatti C, Tinarelli G, Olivi C. [Biochemical and organoleptic characteristics of maltitol. A non-cariogenic sweetener]. Attual Dent 1985; 1:62-3, 65. [PMID: 3869032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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24
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Bracchetti A, Tinarelli G, Bracchetti G, De Risky C. [Mastication using the computer]. Attual Dent 1985; 1:17-23. [PMID: 3867385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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25
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Bracchetti A, Bracchetti G, De Risky G, Tinarelli G. [Fixed rule: variability]. Attual Dent 1985; 1:24-5, 27. [PMID: 3867386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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26
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Bracchetti A, De Risky C, Tinarelli G, Bracchetti G. [A small magnet spies on mastication]. Attual Dent 1985; 1:10-1, 14-6. [PMID: 3867384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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27
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Bracchetti A, Bracchetti G, De Risky C, Tinarelli G. [Electronics for the study of mandibular kinematics]. Attual Dent 1985; 1:7-9. [PMID: 3867392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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28
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Bertoia B, Marin MG, Tinarelli G. [Acquired systemic amyloidosis associated with monoclonal gammopathy]. Minerva Med 1985; 76:1289-92. [PMID: 4011023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
A case of acquired systemic amyloidosis with monoclonal gammopathy in a woman aged 67 years is reported. Clinical features included macroglossia, restrictive cardiomyopathy, cutaneous purpura and carpal-tunnel syndrome. A short review on amyloidosis appears in the case discussion.
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29
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Fidenzoni L, Tinarelli G. [Post-operative intrarenal suppurative cyst]. Policlinico Prat 1967; 74:653-60. [PMID: 5611153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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