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|Type:||Artigo de evento|
|Title:||Study Of Statistical Methods In The Spatial Variability Measurement Of Climatic Variables Within Broiler Houses|
|Abstract:||Natural ventilation is important for bird welfare in Brazilian poultry housing, increasing the heat loss by convective ways. The objective of this research was to analyze the feasibility of geostatistical methodology in estimating the spatial pattern of climatic variables within broiler houses. Dry-bulb temperature (DBT, °C), relative humidity (RU, %), light intensity (L, lux), and air velocity (V, m/s) were collected in the middle of 72 cells in two similar broiler houses located at Tuiuti city, state of São Paulo, Brazil. A portable thermoanemometer (Extech® Model 45160) was used to collect the temperature, relative humidity, and air velocity data. To measure the light intensity, a luximeter (Hagner®) was used. The temperature, humidity and air velocity index, THIV, was calculated with the climatic data. The software MatLab® was used to perform the statistical analysis. The software SURFER® 1995 was used to build the maps of climatic variables. The results showed that the statistical technique allows finding some areas within the houses with different spatial variability on all studied climatic variables. The values show an asymmetrical distribution for the variables of light intensity, air velocity, and THIV. The statistical analysis showed a spatial dependence of the climatic variables on both broiler houses. Therefore, it can be concluded that the homogeneity was observed for the climatic variables from the relative humidity and wind velocity in the broiler house with the use of tunnel ventilation. The light intensity was more homogeneous in the tunnel ventilation compared to the natural ventilation.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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