356
Green roofs on buildings with multiple private owners: Kis Rókus utca 33–31
(Fig. 13.10 ), 1-1a-3-5-7, etc.
Species and types of plants recommended: Sedum ssp., Euphorbia ssp.,
Delosperma ssp., Thymus ssp.
13.6 Effects of Interventions on the Local Climate
13.6.1 Characteristics of the Local Climate
The microclimate of the pilot area is infl uenced by several factors. On the one hand,
the prevailing north by north-westerly winds arrive from the direction of Hűvösvölgy,
while on the other hand the terrain plays a signifi cant role in the formation of the
microclimate of the area, which lies on the south-western slopes of Rózsadomb,
reaching down to Margit körút. In addition, larger buildings have a signifi cant
impact, especially in narrow streets with high facades, such as Lövőház utca, which,
moreover, runs parallel to the prevailing winds, making it the most signifi cant city
canyon of the area. It is also important to mention that, as is true for District II as a
whole, the pilot area is also quite well endowed with urban trees. Yet the state of the
trees and, on occasion, run-down conditions in general offer suffi cient justifi cation
for the regeneration of the area.
13.6.2 Description of the ENVI-MET model
In order to examine the effects on the microclimate created by the most important
interventions planned in the area, a microclimate-modelling project was undertaken
using ENVI-MET modelling software. Since the entire area would have been too
extensive to model, three representative regions were selected, as shown by the map
in Fig. 13.11 .
For modelling microclimates, 4 m × 4 m cells were used throughout. The direction of the wind was defi ned as north-westerly; wind speed at the elevation of 10 m
was defi ned as 3 m/s. Simulations were started on a typical summer day at 9 p.m.;
the period of simulation was 24 h. Initial air temperature was set to 23 °C; relative
humidity at the elevation of 2 m was set to 70 %. For each selected region the model
was projected in two versions: the fi rst one represented the original situation, while
the second one represented the planned situation.
G. Baranka et al.
Green roofs on buildings with multiple private owners: Kis Rókus utca 33–31
(Fig. 13.10 ), 1-1a-3-5-7, etc.
Species and types of plants recommended: Sedum ssp., Euphorbia ssp.,
Delosperma ssp., Thymus ssp.
13.6 Effects of Interventions on the Local Climate
13.6.1 Characteristics of the Local Climate
The microclimate of the pilot area is infl uenced by several factors. On the one hand,
the prevailing north by north-westerly winds arrive from the direction of Hűvösvölgy,
while on the other hand the terrain plays a signifi cant role in the formation of the
microclimate of the area, which lies on the south-western slopes of Rózsadomb,
reaching down to Margit körút. In addition, larger buildings have a signifi cant
impact, especially in narrow streets with high facades, such as Lövőház utca, which,
moreover, runs parallel to the prevailing winds, making it the most signifi cant city
canyon of the area. It is also important to mention that, as is true for District II as a
whole, the pilot area is also quite well endowed with urban trees. Yet the state of the
trees and, on occasion, run-down conditions in general offer suffi cient justifi cation
for the regeneration of the area.
13.6.2 Description of the ENVI-MET model
In order to examine the effects on the microclimate created by the most important
interventions planned in the area, a microclimate-modelling project was undertaken
using ENVI-MET modelling software. Since the entire area would have been too
extensive to model, three representative regions were selected, as shown by the map
in Fig. 13.11 .
For modelling microclimates, 4 m × 4 m cells were used throughout. The direction of the wind was defi ned as north-westerly; wind speed at the elevation of 10 m
was defi ned as 3 m/s. Simulations were started on a typical summer day at 9 p.m.;
the period of simulation was 24 h. Initial air temperature was set to 23 °C; relative
humidity at the elevation of 2 m was set to 70 %. For each selected region the model
was projected in two versions: the fi rst one represented the original situation, while
the second one represented the planned situation.
G. Baranka et al.