Patterns of urban development affect flows of material and energy within urban settlements and exchanges with their surroundings. In recent years the quantitative estimation of the components of the so-called urban metabolism has increasingly attracted the attention of researchers from different fields. To contribute to this effort we developed a modelling framework for estimating carbon exchanges in relation to alternative land-use scenarios. The framework bundles three components: (i) a Cellular Automata model for the simulation of the urban land-use dynamics; (ii) a transportation model for estimating the variation of the transportation network load and (iii) the ACASA (Advanced Canopy-Atmosphere-Soil Algorithm) model tightly coupled with the mesoscale weather forecasting model WRF. We present and discuss the results of an example application on the City of Florence.
Titolo: | Urban CO2 Planning: A Decision Support System | |
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Data di pubblicazione: | 2013 | |
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Handle: | http://hdl.handle.net/11584/168763 | |
ISBN: | 978-3-642-37532-3 978-3-642-37533-0 | |
Tipologia: | 2.1 Contributo in volume (Capitolo o Saggio) |
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