thermal bioclimate as factor in urban and architectural planning in tropical climates – the case...
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Thermal Bioclimate as factor in urban and architectural planning in tropical climates –
The case of Campinas, Brazil
Loyde Vieira de Abreu1 2 , Lucila C. Labaki1 and Andreas Matzarakis 2
1 School of Civil Engineering, Architecture and Urban Design of State University of Campinas, Brazil – [email protected]
2 Meteorological Institute, Albert-Ludwigs-University Freiburg, Germany –
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urban expansion without climate responsive guidelines energy consumption as consequence of climatic modifications
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INTR
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Hig
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Popu
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housing by social class
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goals
This study presents thermal bioclimatic analyses of
air temperature and physiologically equivalent temperature
conditions at Campinas, Brazil, as factor for the development of guidelines in urban and architectural planning in tropical climates.
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DATA
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Nstudy area and data
Campinas, Brazil22 ° 48'57 "S 47 ° 03'33" W Altitude: 640 m Subtropical climate
Hourly measurements of air temperature, air humidity, wind speed and global radiation of an over seven year period (25.6.2003 to 14.12.2010).
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Air temperature frequencies (°C)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan Feb Mar Apr Mai Jun Jul Aug Sep Oct Nov Dez
Campinas, 2003-2010
> 50.1
45.1 -50.0
41.1 - 45.0
35.1 - 41.0
29.1 - 35.0
23.1 - 29.0
18.1 - 23.0
13.1 - 18.0
8.1 - 13.0
0.0 - 8.0
< 0
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Mean Radiant Temperature frequencies (°C)
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan Feb Mar Apr Mai Jun Jul Aug Sep Oct Nov Dez
Campinas, 2003-2010
> 50.1
45.1 -50.0
41.1 - 45.0
35.1 - 41.0
29.1 - 35.0
23.1 - 29.0
18.1 - 23.0
13.1 - 18.0
8.1 - 13.0
0.0 - 8.0
< 0
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PET frequencies (°C)DA
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RayMan Pro input data: air temperature, relative humidity, wind speed and global radiation.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan Feb Mar Apr Mai Jun Jul Aug Sep Oct Nov Dez
Freq
uenc
y %
Month
Campinas, 2003-2010
> 50.1
45.1 -50.0
41.1 - 45.0
35.1 - 41.0
29.1 - 35.0
23.1 - 29.0
18.1 - 23.0
13.1 - 18.0
8.1 - 13.0
0.0 - 8.0
< 0
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Mean monthly diurnal course of PET (°C)DA
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Mean monthly diurnal course of PET (°C) – shade variation
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Mean monthly diurnal course of PET (°C) – wind speed variation
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+ 1m
/s- 1
m/s
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Annual percentages of thresholds based on PET for the period 25th June,
2003 to 31th December 2010.
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PET>25 PET>30 PET>35 PET>40v-1 m/s 49.3% 29.0% 19.1% 10.2%v+1 m/s 40.6% 21.9% 11.4% 3.1%Tmrt = Tar 75.7% 34.1% 6.3% 0.1%
PET 44.4% 26.8% 16.7% 7.8%
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• Solar radiation, typical of tropical cities influences significantly thermal comfort.
• Urban and architectural planning need to promote wind and shade to improve thermal comfort.
• An awareness of these issues would be valuable to architects, planners and urban designers, not by the way of limiting possible solutions, rather by enriching the design possibilities.
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This work was sponsored by DAAD/CAPES.
[email protected]@meteo.uni-freiburg.de
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