Desenvolvimento territorial, políticas públicas e inovação social no Alto Jequitinhonha - MG

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Evaluation of roof slope and exposure with different roofing materials in reduced models of animal production facilities in spring and summer

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Refinamento geométrico de contornos e cumeeiras de telhados de edifícios extraídos de dados laser com uso de imagem aérea

In this paper, a method is proposed to refine the LASER 3D roofs geometrically by using a high-resolution aerial image and Markov Random Field (MRF) models. In order to do so, a MRF description for grouping straight lines is developed, assuming that each projected side contour and ridge is topologically correct and that it is only necessary to improve its accuracy. Although the combination of laser data with data from image is most justified for refining roof contour, the structure of ridges can give greater robustness in the topological description of the roof structure. The MRF model is formulated based on relationships (length, proximity, and orientation) between the straight lines extracted from the image and projected polygon and also on retangularity and corner injunctions. The energy function associated with MRF is minimized by the genetic algorithm optimization method, resulting in the grouping of straight lines for each roof object. Finally, each grouping of straight lines is topologically reconstructed based on the topology of the corresponding LASER scanning polygon projected onto the image-space. The results obtained were satisfactory. This method was able to provide polygons roof refined buildings in which most of its contour sides and ridges were geometrically improved.

Avaliação do efeito da inclinação e umidade antecedente na qualidade e quantidade das parcelas escoadas, percoladas e armazenadas em telhado verde extensivo

This study investigated the effect of slope and antecedent soil moisture on the water depth stored and percolated on extensive green roofs built in pilot scale. For this purpose, slopes of 10, 20 and 30% were investigated. Moisture was measured before and after each test in order to determine the differential moisture (∆U). The experimental runoff and percolated flow were analyzed by varying moisture and slope. Apparent color and turbidity were measured on runoff and percolated flow for each one of the modules. The results yielded that for the slopes of 10% the smaller values of runoff was obtained (average of 1,01% ± 0,7%). For the others slopes (20% and 30%), the runoffs were around 35% ± 15%. The sum of runoff and percolated water results in 77% (average) for slope of 10% and 80% for 20% and 30%. The slope and moisture have explained 87% of data for retained water and 81% for runoff. For percolated flow the inverse trend was observed. The retained water was 11,6±1,4mm for the module with 10% of slope, around 10,0±1,2 mm for the module with 20% of slope, and about 9,5±1,1 mm for the module with 30%. The results pointed out that both slope and antecedent moisture are crucial for runoff reduction and for material transportation.