Giovanni Bonafè

ORCID: 0000-0002-7815-8866
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About
Contact & Profiles
Research Areas
  • Air Quality and Health Impacts
  • Atmospheric chemistry and aerosols
  • Air Quality Monitoring and Forecasting
  • Urban Planning and Valuation
  • Meteorological Phenomena and Simulations
  • Diverse academic and cultural studies
  • Atmospheric aerosols and clouds
  • Vehicle emissions and performance
  • Wind and Air Flow Studies
  • Chemistry and Stereochemistry Studies
  • Soil Moisture and Remote Sensing
  • Odor and Emission Control Technologies
  • Atmospheric Ozone and Climate
  • Atmospheric and Environmental Gas Dynamics
  • Adsorption, diffusion, and thermodynamic properties of materials
  • Ionosphere and magnetosphere dynamics
  • Landslides and related hazards
  • Advanced Control Systems Optimization
  • Geophysics and Gravity Measurements
  • Control Systems and Identification
  • Scientific Measurement and Uncertainty Evaluation
  • Crop Yield and Soil Fertility
  • Calibration and Measurement Techniques
  • Plant Water Relations and Carbon Dynamics
  • Climate variability and models

Advanced Research Projects Agency - Energy
2011-2022

Agenzia Regionale per la Protezione dell'ambiente ligure
2018

Agenzia Regionale Prevenzione e Ambiente della Regione Emilia-Romagna
2009-2017

Regione Emilia-Romagna
2016

Abstract This work tackles the problem of automated detection atmospheric boundary layer (BL) height h , from aerosol lidar/ceilometer observations. A new method, Bayesian selective method (BSM), is presented. It implements a statistical inference procedure which combines in statistically optimal way different sources information. Firstly, stratification boundaries are located discontinuities ceilometer backscattered signal. The BSM then identifies discontinuity edge that has highest...

10.1002/qj.964 article EN Quarterly Journal of the Royal Meteorological Society 2011-11-10

Abstract Three diverse methods of initializing soil moisture and temperature in limited-area numerical weather prediction models are compared assessed through the use nonstandard surface observations to identify approach that best combines ease implementation, improvement forecast skill, realistic estimations parameters. The first method initializes model prognostic variables by a simple interpolation from parent global is used provide lateral boundary conditions for forecasts, thus ensuring...

10.1175/2011mwr3279.1 article EN other-oa Monthly Weather Review 2011-02-16

Abstract The energy budget at the surface is strongly influenced by presence of vegetation, which alters partitioning thermal between sensible and latent heat fluxes. Despite its relevance, numerical weather prediction (NWP) systems often use only two parameters to describe vegetation cover: fractional area occupying a given pixel leaf index (LAI). In this study, Consortium for Small-Scale Modelling (COSMO) limited-area forecast model used investigate sensitivity regional predictions LAI...

10.1175/2009mwr2891.1 article EN Monthly Weather Review 2009-06-01

Epidemiological evidences support the existence of an effect airborne particulate on population health. However, few studies evaluated robustness results to different exposure assessment approaches. In this paper, we estimated short term effects and impacts high levels matter with aerodynamic diameter ≤10 μm (PM10) ≤2.5 (PM2.5) in Emilia-Romagna region (Northern Italy), one most polluted areas Europe, period 2006-2010, checked if changed when definitions were used.Short-term impact particles...

10.1186/s12940-017-0213-9 article EN cc-by Environmental Health 2017-02-22

This paper presents the analysis of C and X band images in scope soil moisture detection agricultural fields. Archived data have been analyzed order to understand SAR signal behavior vegetated fields comparison bare soils. The results indicate that sensitivity signatures is very close, while it changes presence vegetation. In particular effect directly proportional amount vegetation this preliminary has evaluated through NDVI variable. After analysis, a statistical approach applied infer...

10.1117/12.870495 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2010-10-07

The aim of this work is to evaluate the air quality in a mixed urban-industrial environment. Concentration gradients can often be strong, owing complex orographic and meteorological context. It therefore misleading rely only on monitoring network. We used Eulerian chemistry-transport model (CTM) simulate regional background concentrations PM10, Lagrangian (LM) local impact emissions from an iron production plant. Firstly, scale were estimated with data fusion approach, interpolating...

10.1504/ijep.2018.099162 article EN International Journal of Environment and Pollution 2018-01-01

An urban dispersion model (ADMS?Urban) was run to calculate PM10 and NO2 concentration during a one-year period, on district of Bologna, Italy. Moreover, the exposure 333 children estimated using outputs corrected with observations. The able correctly simulate long-term statistical properties roadside observed concentrations (such as annual mean frequency distribution), but it failed in reproducing instantaneous values. proposed methodology is easy implementation, could be useful identify...

10.1504/ijewm.2009.026887 article EN International Journal of Environment and Waste Management 2009-01-01

10.5281/zenodo.19829 article PT 2015-07-09

10.5281/zenodo.18847 article PT 2015-06-22

More than three years of atmospheric aerosol measurements have been made during Supersite project, in five different sites the Po valley (I), to better understand its chemical composition, mass closure, size distribution and source apportionment. The sampling for following fractions Particulate Matter: PM1, PM2.5 PM0.05-0,14; 0.14-0,42; 0.42-1.2; 1.2-3.5; 3.5-10, 3-600 nm particle distributions, 280nm – 10µm number. Chemical analysis PM species: ions, metals, elemental organic carbon, acids,...

10.1289/isee.2016.3403 article EN ISEE Conference Abstracts 2016-08-17
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