Parametrizzazione delle superfici urbane nella modellazione aerodinamica per la qualità dell’aria

Among sustainability and sustainable development related topics, one of the main is urban outdoor air quality, as it is strictly linked to human health and in-city nature and cultural heritage preservation. More specifically, a knowledge about urban texture role and influence is required. As a consequence, various practices and methods to associate schematisations and descriptive parameters to urban surfaces have been developing since '90s. Morpho-metrics is the study branch that focuses on urban texture analysis for urban areo-dynamic study purposes, involving specific parameters and indexes definition to assess building shapes and mutual distances and relations between them. Information gathered through this kind of analyses can be useful in laboratory experiments setting as well as numerical modelling simulations input data definition. Moreover, it is critical in vertical wind speed profile modelling and its behaviour investigation in urban context. This thesis objectives focus on morpho-metric investigations of urban surfaces, starting from the pursuit of the current best available operational scheme to be used; the latter should be adequately simple in basic data requirement sense and, ideally, should be flexible enough to be applicable to any case study of interest. Some simplifications in characterisation and parameters values identification are considered and discussed, too: e.g. basing on general architectonical and building features of a certain urban zone, or the research of large-scale tendencies and possible common trends for parameters values in different cities. Furthermore, different parameters calculation methods are tested in urban vertical wind profile description, relying on an available field monitoring dataset. Methods have based on territorial analysis and data elaboration for building height values, i.e. image processing techniques. Assuming that further information is required, it is possible to detect similar characteristics in analogous architecture zones and considering large extensions of urbanized areas, though not for all parameters and under specific conditions.