- Atmospheric chemistry and aerosols
- Atmospheric and Environmental Gas Dynamics
- Air Quality and Health Impacts
- Wind and Air Flow Studies
- Maritime Transport Emissions and Efficiency
- Fire effects on ecosystems
- Atmospheric Ozone and Climate
- Vehicle emissions and performance
- Complex Systems and Time Series Analysis
- Fluid Dynamics and Turbulent Flows
- Climate Change Policy and Economics
- Maritime Ports and Logistics
- Air Quality Monitoring and Forecasting
- Maritime Navigation and Safety
- Plant Water Relations and Carbon Dynamics
- Advanced Thermodynamics and Statistical Mechanics
- Statistical Mechanics and Entropy
- Climate variability and models
- Fractional Differential Equations Solutions
- Ecosystem dynamics and resilience
- Cloud Computing and Resource Management
- Meteorological Phenomena and Simulations
- Social Media and Politics
- Environmental Impact and Sustainability
- Geophysics and Gravity Measurements
National Research Council
2017-2024
Institute of Atmospheric Sciences and Climate
2004-2024
National Academies of Sciences, Engineering, and Medicine
2024
Istituto Nazionale di Fisica Nucleare, Sezione di Lecce
2014
Agenzia Regionale Prevenzione e Ambiente della Regione Emilia-Romagna
2001
Abstract. We investigate the time intermittency of turbulent transport associated with birth-death self-organized coherent structures in atmospheric boundary layer. apply a threshold analysis on increments fluctuations to extract sequences rapid acceleration events, which is marker transition between structures. The inter-event distributions show power-law decay ψ(τ) ~ 1/τμ, strong dependence index μ threshold. A recently developed method based application event-driven walking rules generate...
Abstract An approach to intermittent systems based on renewal processes is reviewed. The Waiting Times (WTs) between events are the main variables of interest in systems. A crucial role played by class critical events, characterized Non-Poisson statistics and non-exponential WT distribution. particular important case given distributions with power tail. Critical play a behavior property known as Renewal Aging. Focusing relation superstatistics non-homogeneous Poisson discussed, Aging...
Back-trajectory techniques are extensively used to identify the most probable source locations, starting from known pollutants concentration data at some receptor sites. In this paper, we review trajectory statistical methods (TSMs) that in literature for identification, which essentially based on concept of residence time (RT), and introduce a novel method. To validate method, artificial two sites derived numerical simulations with given aerial source, using Lagrangian dispersion model...
We present a modelling approach to investigate the impact of ship emissions in port Brindisi (IT) on local air quality. The focus is pollutant concentrations due implementation MARPOL Annex VI and associated NOx technical code 2008 (concerning emissions) Directives 2005/33/EU-2012/33/EU sulphur content maritime fuels). Emissions are estimated through an adapted MEET methodology using appropriate emission factors for manoeuvring hotelling phases. Numerical simulations NOx, SO2 primary PM10...
We present a modelling system for the estimation of forest fire emissions ( prebolchem-fire ) and their inclusion in atmospheric composition model BOLCHEM. Emission fluxes have been estimated following methodology proposed by Seiler Crutzen (1980) using MODIS 'burned area product'. Then they are modulated WRAP approach (WRAP, 2005). This is also used estimations emission height. Model simulations performed period 22–30 August 2007, which fires were most severe Greece, Albania Algeria. The...
We present the model performance of online air quality BOLCHEM on seasonal period (year 2010) in an pollution hot spot located Northern Italy. Simulated surface concentrations pollutants are compared with those measured at background AirBase stations. Particulate matter (PM10 and PM2.5) is investigated for winter summer period. The correlation coefficient R 0.6 both seasons. In period, PM2.5 ground concentration underestimated by 6.5% average, PM10 7.8% average. average 0.7% while 20% last...
Hydrofluorocarbons (HFCs) are a class of greenhouse gases (GHGs) primarily used as substitutes for ozone-depleting substances like chlorofluorocarbons (CFCs) and hydrochlorofluorocarbons (HCFCs), phased out under the Montreal Protocol. However, HFCs significantly impact global warming due to their high potential. In light pressing need tackle climate change mitigate effects GHG emissions, United Nations Framework Convention on Climate Change (UNFCCC) has established rigorous commitments...
Abstract The climate change over the Mediterranean region poses serious concerns about role of open vegetation fires in emissions climate-altering species. aim this work is to review current methodologies for quantifying greenhouse gases and black carbon from fires, as well data provided by four state-of-the-art inventories dioxide (CO 2 ), methane (CH 4 nitrous oxide (N O) (BC) period 2003 - 2020. A limited number studies specifically addressed quantification region. Our fire region, where...
<title>Abstract</title> HFC-134a is the most prevalent hydrofluorocarbon used as a replacement for ozone-depleting CFCs and HCFCs. Due to its high global warming potential, it regulated under various European frameworks, underscoring importance of tracking emissions. Emissions derived by commonly used, bottom-up, methodology are affected certain degree uncertainty. The bottom-up estimates can be aided with an independent top-down estimate based on atmospheric observations combined transport...
This study presents an evaluation of the CHIMBO modeling chain applied to Italian domain, specifically focusing on Po Valley subdomain over one-year period 2019. The comparison between simulated and observed data indicates that performance model aligns well with existing literature other state-of-the-art models. results demonstrate is particularly effective for regional-scale quantitative assessments pollutant distribution, comparable CAMS ensemble analysis key chemical species in...
To address and mitigate the environmental impacts of synthetic greenhouse gases it’s crucial to quantify their emissions atmosphere on different spatial scales. Atmospheric Inverse modelling is becoming a widely used method provide observation-based estimates gas with potential an independent verification tool for national emission inventories. A sensitivity study FLEXINVERT+ model optimisation temporal long-lived at regional-to-country scale presented. test compound HFC-134a, most...
This work presents the on-line coupled meteorology–chemistry transport model BOLCHEM, based on hydrostatic meteorological BOLAM model, gas chemistry module SAPRC90, and aerosol dynamic AERO3. It includes parameterizations to describe natural source emissions, dry wet removal processes, as well dispersion of air pollutants. The equations for different processes are solved same grid during integration step, by means a time-split scheme. paper describes its performance at horizontal resolution...
We present the model performance of online air quality BOLCHEM on seasonal period (year 2010) in an pollution hot spot located Northern Italy. Simulated surface concentrations pollutants are compared with those measured at background AirBase stations. Particulate matter (PM10 and PM2.5) is investigated for winter summer period. The correlation coefficient R 0.6 both seasons. In period, PM2.5 ground concentration underestimated by 6.5% average, PM10 7.8% average. average 0.7% while 20% last...
The aim of this study is to characterize the air quality in a Mediterranean port city. impact ship emissions on both gaseous and particulate pollutants has been investigated through an integrated methodology which includes atmospheric flow dispersion numerical modelling as well chemical composition statistical analyses. Specifically, compositional data (ionic fraction, carbonaceous compounds, metals) PM2.5 were acquired during experimental field campaign carried out city Brindisi (Apulia...