Turbulence models in the atmospheric boundary layer under convective conditions

In this work a modelization of the turbulence in the atmospheric boundary layer, under convective condition, is made. For this aim, the equations that describe the atmospheric motion are expressed through Reynolds averages and, then, they need closures. This work consists in modifying the TKE-l closure used in the BOLAM (Bologna Limited Area Model) forecast model. In particular, the single column model extracted from BOLAM is used, which is modified to obtain other three different closure schemes: a non-local term is added to the flux- gradient relations used to close the second order moments present in the evolution equation of the turbulent kinetic energy, so that the flux-gradient relations become more suitable for simulating an unstable boundary layer. Furthermore, a comparison among the results obtained from the single column model, the ones obtained from the three new schemes and the observations provided by the known case in literature ”GABLS2” is made.

Investigating stellar mixing processes through the study of the Red-Giant Branch bump

Extra mixing at the borders of convective zones in stellar interiors takes on an important role in the chemical evolution of stars and galaxies through the transport of chemical elements towards the stellar surface: knowing the overshooting mechanism can therefore lead to a better understanding of the observed chemical abundances in stellar photospheres. The comprehension of this phenomenon is quite uncertain and currently object of many studies. In particular, concerning low mass stars, in the past decades several works highlighted a discrepancy between the observed luminosity of the Red-Giant Branch bump and its prediction from simulations, which can be fixed including overshooting at the base of the convective envelope. This work, studying the Red-Giant Branch bump and using it as a diagnostic for extra mixing processes, tries to classify two different types of overshooting, instantaneous and diffusive, using both simulations from stellar models and Globular Clusters’ data. The aim is to understand which one of the two mixing processes is the most suitable in reproducing the observed stellar behaviour and, in case both of them provide reliable results, what are the conditions under which they produce the same effects on the Red-Giant Branch bump luminosity function and are consequently indistinguishable. Finally, possible dependences of overshooting efficiency on stellar parameters, such as chemical composition, are analysed.

Impact of convective motions on pollutant dispersion in urban canyons: an analysis through RANS simulations

Since the majority of the population of the world lives in cities and that this number is expected to increase in the next years, one of the biggest challenges of the research is the determination of the risk deriving from high temperatures experienced in urban areas, together with improving responses to climate-related disasters, for example by introducing in the urban context vegetation or built infrastructures that can improve the air quality. In this work, we will investigate how different setups of the boundary and initial conditions set on an urban canyon generate different patterns of the dispersion of a pollutant. To do so we will exploit the low computational cost of Reynolds-Averaged Navier-Stokes (RANS) simulations to reproduce the dynamics of an infinite array of two-dimensional square urban canyons. A pollutant is released at the street level to mimic the presence of traffic. RANS simulations are run using the k-ɛ closure model and vertical profiles of significant variables of the urban canyon, namely the velocity, the turbulent kinetic energy, and the concentration, are represented. This is done using the open-source software OpenFOAM and modifying the standard solver simpleFoam to include the concentration equation and the temperature by introducing a buoyancy term in the governing equations. The results of the simulation are validated with experimental results and products of Large-Eddy Simulations (LES) from previous works showing that the simulation is able to reproduce all the quantities under examination with satisfactory accuracy. Moreover, this comparison shows that despite LES are known to be more accurate albeit more expensive, RANS simulations represent a reliable tool if a smaller computational cost is needed. Overall, this work exploits the low computational cost of RANS simulations to produce multiple scenarios useful to evaluate how the dispersion of a pollutant changes by a modification of key variables, such as the temperature.

L'analisi di rischio nel trasporto stradale di merci pericolose: due software a confronto

Confronto tra due software specifici per l'analisi di rischio nel trasporto stradale di merci pericolose (TRAT GIS 4.1 e QRAM 3.6) mediante applicazione a un caso di studio semplice e al caso reale di Casalecchio di Reno, comune della provincia di Bologna.

Sintesi di immagini realistiche mediante l'uso del Photon differentials come estensione del Photon mapping

Questa tesi intende presentare una tecnica per la sintesi di immagini realistiche al calcolatore basata sul concetto di particle tracing. Il metodo proposto opera una stima sulla densità locale dei fotoni estendendo il concetto del photon differentials anche alla gestione delle riflessioni diffusive. Si è scelto di implementare il nuovo algoritmo di illuminazione globale all’interno di XCModel come estensione del photon mapping.

Modelli diffusivi ed effetti di ritardo nella conduzione del calore e nella dinamica delle popolazioni.

In questi tesi viene studiata la teoria classica di diffusione del calore come modello parabolico per cui viene calcolata una soluzione attraverso il metodo di separazione delle variabili e il metodo delle onde dispersive. Viene poi affrontata la teoria alternativa proposta da Cattaneo del modello iperbolico del calore, allo scopo di superare il paradosso di velocità di propagazione infinita. Si conclude con alcuni esempi in cui lo stesso ragionamento viene applicato in diverse teorie diffusive e di reazione-diffusione in ambiti bio-matematici, come ad esempio la dinamica delle popolazioni.