G. Passerini
Marche Polytechnic University
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Featured researches published by G. Passerini.
Journal of Environmental Engineering and Landscape Management | 2015
Enrico Mancinelli; Edita Baltrėnaitė; Pranas Baltrėnas; Dainius Paliulis; G. Passerini; Åsgeir R. Almås
AbstractUrban storm water runoff (USWR) often transports various trace metals, affecting the quality of receiving waters. Metal concentration and speciation in USWR were investigated by analysing data collected during a storm event on 19 July 2012. USWR samples were taken from a low–traffic intensity road, a pathway in a car–free pedestrian zone, and a galvanized metal roof located in the area of Vingio Park in the city of Vilnius, Lithuania. The metals were mostly in the insoluble form at all three sites, being more than 80% of the total amount measured, irrespective of the water quality characteristics and types of surface area. The partitioning coefficient (log Kd) of trace metals decreases in the order Zn > Cu ≈ Mn ≈ Pb >> Cd. The USWR types characterized by a higher pH or dissolved organic carbon (DOC) concentration produced a higher fraction of Cd, Mn, Pb, and Zn bound to fulvic acids (FA).
sustainable development and planning | 2013
R. Cocci Grifoni; G. Passerini; Mariano Pierantozzi
Microclimate conditions in urban open spaces are directly linked to the configuration of street axes and building heights and their attributes. Within street canyons, public places, and open spaces, the local microclimate depends directly on the physical properties of the surrounding surfaces and objects, producing well-known effects that can decrease or increase thermal loads. All of these phenomena can greatly influence the comfort of a city and the thermal comfort of pedestrians. Thermal comfort is an indicator that cannot be easily converted into physical parameters. However, it may be defined more qualitatively as the range of climatic conditions in which most people feel comfortable. One well-recognized thermal comfort index used to measure comfort levels inside a space is the predicted mean vote (PMV). Fanger’s PMV index has been widely used in the last ten years. It is based on six factors: air temperature, air speed, humidity, mean radiant temperature, metabolic rate, and clothing levels. The comfort equation establishes relationships among the abovementioned environmental variables, clothing type, and metabolic rate. The authors present results of PMV simulations using a multi-objective optimization tool (i.e., modeFrontier). ModeFRONTIER is an integration platform used to optimize and arrange PMV algorithms linked to urban geometry parameters (e.g., the height-to-width (H/W) ratio of urban streets). The optimization process employs given constraints, custom procedural algorithms, and genetic algorithms to examine a wide urban space and identify interesting relationships among the variables considered. Urban geometry, meteorological data, and latent influences are examined and negotiated quantitatively to improve outdoor thermal comfort.
WIT Transactions on Ecology and the Environment | 2002
G. Latini; R Cocci Grifoni; G. Passerini
In this paper are investigated the effects of local meteorology on surface ozone concentrations on an hourly basis for a period of at least one year in a complex coastal area where land-sea breezes influence ozone concentrations. Because ozone formation is a non-linear process, feed-forward back propagation neural network was developed to model hourly ozone concentrations from meteorological and NoX data. This method can weight relationships that are difficult to subjectively quantify and allows non-linear relationships between variables. The use of additional meteorological and nitrogen oxides dioxide (NO and N02) time series as a potential inputs of the forecasting process is also considered.
Journal of Environmental Engineering and Landscape Management | 2017
Enrico Mancinelli; Edita Baltrėnaitė; Pranas Baltrėnas; Eglė Marčiulaitienė; G. Passerini
Dissolved organic carbon (DOC) interacts with dissolved trace metal affecting their mobility and bioavailability through the formation of DOC–metal complexes. Several types of biochar (BC) produced...
International conference on environmental problems in coastal regions | 2000
G. Latini; R. Cocci Grifoni; G. Passerini; S. Tascini
One of the most important meteorological input parameter for photochemical air pollution models is the mixing height h mix , which has a strong influence on the shape and intensity of the vertical diffusivity and, as a consequence, on ground level air concentration of primary and secondary pollutants. In this paper the analytical model of the boundary layer height proposed by Gryning and Batchvarova has been taken into consideration. A new meteorological input, developed according to specific requirements, has been developed to supply input data to a simple numerical air quality model (Photochemical Box Model) that simulates urban scale photochemical smog evolution.
WIT Transactions on Ecology and the Environment | 1970
G. Latini; R. Cocci Grifoni; G. Passerini; Tiziano Tirabassi
The mixing height is one of the fundamental parameters to characterise its structure and is required in dispersion models. This paper is concerned with the evaluation of the hmix in a coastal area (Esino Valley) by a semi-empirical estimates of boundary layer parameters like the Monin-Obukhov length L and the roughness length ZQ. A preliminary evaluation of the methodology is presented.
International Journal of Design & Nature and Ecodynamics | 2012
R. Cocci Grifoni; Mariano Pierantozzi; S. Tascini; G. Passerini
This paper presents preliminary findings of an outdoor thermal comfort study conducted in an urban area to evaluate the representative Predicted Mean Vote index. Thermal comfort in outdoor urban spaces is often faced with the task of using large amounts of data that yields meaningful information concerning the thermal sensation. It is essential to interpret correctly meteorological and thermal comfort data. In particular, it is important to interpret data using an appropriate statistical analysis, and the analysis of thermal comfort presupposes a synthesis of information derived from a series of temporal data. It is indispensable to deal with realistic data and an actual day should be considered, but the widely used average day is not an actual day. On the contrary, the representative day is made of the actual data of the day, in the period considered, where the sum of the mean-square differences among its monitored quantities, averaged within each hour, and the same quantities for all other days at the same hour, is minimised. The goal of this research is to assess the representativeness of the thermal comfort indices provided using a representative day technique. Specifically, a new tool has been developed using a powerful and useful environment for symbolic and numerical computing and data visualization such as Wolfram MathematicaTM, aiming at linking information computed by a bio-climate model to the representative day technique. The possibility of assessing the diurnal variation of PMV thermal comfort index by introducing the Representative Day technique has been evaluated in order to gather information on the correlation between thermal comfort and meteorological parameters. A case study has been analysed in order to improve the microclimate in an outdoor space located in a typical Mediterranean area and a comparison with CFD code, namely ENVI-MET, has been reported. This technique can prove to be a very
WIT Transactions on Ecology and the Environment | 2003
R. Cocci Grifoni; L. Magnaterra; G. Passerini; S. Tascini
Ozone dynamics are strictly dependent to meteorological conditions. Solar radiation, pressure distribution and horizontal wind field, along with precursor concentrations, play fundamental roles in ozone formation and depletion. The present case study concerns Falconara, an Italian town located on the Adriatic sea, which presents several air pollution modelling issues: complex orography, location at the mouth of Esino river and the presence of several distributed and point precursor sources. During the summer 2000 strong ozone episodes have been recorded in disagreement with other typical pollution concentration levels. The aim of our work was to investigating the role played by meteorological scenarios that may favour ozone formation, stagnation and recirculation. For this purpose RAMS simulations have been implemented by assimilating data from provincial monitoring network and from European Center for Mediumrange Weather Forecast elaborations. The simulation domain is represented by four regular nested grids: the first grid is an 18x18 mesh with a 50000m side width; the finest grid is a 37x37; the four nesting ratios are respectively 1,5,5,5. Simulations have been carried out for three significant days in the month of August (9, 12 and 23) and explained the evolution of critical quantities (namely wind, pressure and humidity) during those periods. Results show the existence of meteorological scenarios suitable for Tropospheric Ozone production and the persistence of re-circulation phenomena (namely stable sea breezes) with consequent pollution low depletion and accumulation. Peculiar coastal phenomena have also been highlighted, such as breeze fronts capable of significant increment of both ozone and precursor concentrations. Transactions on Ecology and the Environment vol 66,
Ciência e Natura | 2016
Umberto Rizza; Vagner Anabor; Cristina Mangia; Mario Marcello Miglietta; Gervásio Annes Degrazia; G. Passerini
A fully coupled meteorology-chemistry-aerosol model (WRF-Chem) is applied to simulate the Saharan dust outbreak over the Mediterranean regions. Two dust emission schemes, namely, those of Jones et al., (2010), and Shao (2001) are evaluated using the the GOCART aerosol model. To investigate the performance of each dust emission scheme, a case study was carried out for a Mediterranean dust event that took place between 21 and 23 May 2014. Considering the time average Aerosol Optical Depth, simulation results reproduced satisfactorily the outbreak and transport pattern of dust plumes. However, the estimated dust emission amounts in each scheme differ greatly due to the presence of several tuning parameters, that must be adjusted considering satellite and ground based experimental data.
WIT Transactions on Ecology and the Environment | 2006
G. Latini; R. Cocci Grifoni; G. Passerini; S. Tascini
Ozone is a secondary pollutant that forms in the atmosphere through complex chemical reactions mainly between Nitrogen Oxides ( NOx ) and Volatile Organic Compounds (VOC ); such reactions are triggered by the presence of solar radiation. In this paper the Ozone formation in the Falconara area, an industrialized area located on the central Adriatic coast of Italy, has been examined during a period of high ozone concentrations that occurred in August 2000 to understand spike phenomena registered in some ozone time series. The selected data set consists of concentration hourly averages and related elementary values, both provided by the monitoring network of Ancona Province, Italy. We have analysed hourly averages to investigate the long-term and medium-term behaviour of pollutants, while elementary values have been used to study scattering phenomena (low frequency and high frequency fluctuations in concentration levels) registered in some ozone time series. Spectral analysis has been performed over the air pollutant time series; the focus has been set on photochemical pollutants traced by ozone concentrations, considering potential correlations with chemical precursors, and atmospheric parameters such as solar radiation, wind velocity and air temperature. Analyses conducted led to the hypothesis that the processes that generate ozone in Falconara are more rapid and efficient than in other urban areas, and that ozone production varies significantly over shorter spatial scales than in other urban areas. Results have yielded possible explanations regarding the origins of the oscillations. www.witpress.com, ISSN 1743-3541 (on-line)