A Street Graph-Based Morphometric Characterization of Two Large Urban Areas

Urban microclimate modelling, both numerical and in the laboratory, has strong implications many relevant health life-style management issues e.g., studies for assessment forecast of air quality (for outdoor and, as boundary conditions, indoor investigations), thermometric trend analysis urban zones, cultural heritage preservation, etc. Moreover, study modelling is largely promoted encouraged by international institutions its implication human protection. In present work, we propose discuss an adaptive street graph-based method aimed at automatically computing geometrical parameters adopted atmospheric turbulent flow modelling. This been applied to two real cases, Italian cities Rome Cagliari, results compared with ones from traditional methods based on regular grids. Results show that proposed leads a more accurate determination canyon (Canyon Aspect Ratio Building Ratio) morphometric (Planar Area Index Frontal Index) grid-based methods, least tested cases. Further investigations larger number different contexts are planned thoroughly test validate algorithm.