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Silvana Di Sabatino

Researcher at University of Bologna

Publications -  112
Citations -  5329

Silvana Di Sabatino is an academic researcher from University of Bologna. The author has contributed to research in topics: Turbulence & Environmental science. The author has an hindex of 27, co-authored 91 publications receiving 3836 citations. Previous affiliations of Silvana Di Sabatino include University of Notre Dame & University of Salento.

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On the contribution of mean flow and turbulence to city breathability: the case of long streets with tall buildings.

TL;DR: Analysis of the contribution of mean flow and turbulence to city breathability within urban canopy layers under the hypothesis that winds from rural/marine areas are sources of clean air and main contributors to local-scale pollutant dilution finds breathability improves in streets flanked by lower buildings and pollutant removal by turbulent fluctuations is more effective.
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The breathability of compact cities

TL;DR: In this article, the authors evaluated the breathability of dense building arrays with packing densities similar to those of typical European cities using laboratory measurements and numerical simulations, and found that large wind angles result in better ventilation due to an increase of transversal fluxes and vertical exchange.
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Recent advancements in numerical modelling of flow and dispersion in urban areas: a short review

TL;DR: In this article, the authors reviewed recent findings in the field of flow and pollutant dispersion modelling around buildings and within complex urban geometries, showing that complexity is not only associated to the packing density of buildings, but originates also from building-height variability, buoyancy effects close to the building walls, traffic-produced turbulence and from the presence of vegetation.
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Global assessment of heat wave magnitudes from 1901 to 2010 and implications for the river discharge of the Alps

TL;DR: This study provides a global estimate of heat wave magnitudes based on the three most appropriate datasets currently available, derived from models and observations spanning the last century and before, and finds that the percentage of global area covered by heat wave exceeding a given magnitude has increased almost three times in the last decades.