Wind comfort in a public urban space—Case study within Dublin Docklands

Szucs, Agota

doi:10.1016/j.foar.2012.12.002

Cited by 43 publications

(23 citation statements)

References 24 publications

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“…This model takes into account the combination of the natural and artificial surfaces of the urban quarter considered and it can also calculate heat exchanges between a water body and its environment.  The biometeorological model, which is able to calculate the PMV index from the meteorological data [18].…”

Section: Basis Of Applied Methodsmentioning

confidence: 99%

Evaluating Mitigation Effects of Urban Heat Islands in a Historical Small Center with the ENVI-Met® Climate Model

et al. 2014

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Urban morphology and increasing building density play a key role in the overall use of energy and promotion of environmental sustainability. The urban environment causes a local increase of temperature, a phenomenon known as Urban Heat Island (UHI). The purpose of this work is the study of the possible formation of an UHI and the evaluation of its magnitude, in the context of a small city, carried out with the ENVI-met ® software. For this purpose, a simulation was needed, and this simulation is preparatory for a monitoring campaign on site, which will be held in the immediate future. ENVI-met areas and open zones with plenty of vegetation. These gradients arise in a really tiny space (few hundreds of meters), showing that the influence of urban geometry can be decisive in the characterization of local microclimate. Simulations, carried out considering the application of green or cool roofs, showed small relevant effects as they become evident only in large areas heavily built up (metropolis) subject to more intense climate conditions.

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Section: Basis Of Applied Methodsmentioning

confidence: 99%

Evaluating Mitigation Effects of Urban Heat Islands in a Historical Small Center with the ENVI-Met® Climate Model

et al. 2014

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“…Howard's theories were surprisingly accurate. However, there are several other reasons for the appearance of an UHI pattern: urban heat generated from heating, air conditioning, transportation, and industrial processes [11], and a decrease in wind speed due to a roughness length increase, which also slows down energy transfer from the surface to the urban atmosphere [12,13]. Pollution also contributes to this scenario because air particles absorb and emit heat to urban canyons [14,15].…”

Section: Introductionmentioning

confidence: 99%

The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian City

Alves¹,

Lopes

2017

Atmosphere

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This study analyzes the influence of urban-geographical variables on determining heat islands and proposes a model to estimate and spatialize the maximum intensity of urban heat islands (UHI). Simulations of the UHI based on the increase of normalized difference vegetation index (NDVI), using multiple linear regression, in Iporá (Brazil) are also presented. The results showed that the UHI intensity of this small city tended to be lower than that of bigger cities. Urban geometry and vegetation (UI and NDVI) were the variables that contributed the most to explain the variability of the maximum UHI intensity. It was observed that areas located in valleys had lower thermal values, suggesting a cool island effect. With the increase in NDVI in the central area of a maximum UHI, there was a significant decrease in its intensity and size (a 45% area reduction). It is noteworthy that it was possible to spatialize the UHI to the whole urban area by using multiple linear regression, providing an analysis of the urban set from urban-geographical variables and thus performing prognostic simulations that can be adapted to other small tropical cities.

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“…trees, arcades and narrow streets) can therefore reduce the heat load (Jendritzky, 1988). Szűcs (2013) investigated the extent to which urban planning and the resulting morphology of the built environment in Dublin influenced the microclimate that was created by the wind regime.…”

Section: Study Rationalementioning

confidence: 99%