A heat island model for large urban areas and its application to Milano

Borghi, S. and Corbetta, G. and De Biase, L. (2000) A heat island model for large urban areas and its application to Milano. Il nuovo cimento C, 23 C (5). pp. 547-566. ISSN 1826-9885

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Abstract

The study of the urban heat island has been carried out through two new enhanced versions of the UCLM (Urban Canopy Layer Model) model, Landsat/Thematic Mapper data sets and meteorological data collected over a square area 30 km of side including Milan and its hinterland. The urban climate can be described in different summer and winter radiative settings. The input data are divided into two classes: 1) parameters related to urban and rural local properties (albedo and emissivity, vegetation index NDVI, surface roughness length, land cover...); 2) meteorological data related to the general synoptic conditions. The bulk system of the model is made up of four independent equations expressed in terms of four unknowns, i.e., the temperature values at ground level, canopy level and reference level (100 m) and relative humidity within the urban structure. The study area is divided by a regular square mesh of variable dimension (from 30 m to 1500 m); both the input and output data are average cell values. UCLM30 and UCLM60 calculate the temperature excess as well as the turbulent heat exchanges and the heat storage in the urban canopy as a function of the radiative and dynamic forcing. As can be observed in reality, the model shows that in summer the highest urban heating occurs in early morning and after sunset and that, in extreme conditions, the temperature can be up to 8 7C warmer in town than in the nearby rural lands.

Item Type: Article
Uncontrolled Keywords: Boundary layer structure and processes
Subjects: 500 Scienze naturali e Matematica > 550 Scienze della Terra > 551 Geologia, Idrologia, Meteorologia
Depositing User: Marina Spanti
Date Deposited: 09 Mar 2020 16:00
Last Modified: 09 Mar 2020 16:00
URI: http://eprints.bice.rm.cnr.it/id/eprint/13972

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