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DocumentSuitability of medium density particle board from Acacia catechu (Khair)
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Particleboard provides the opportunity to use the greatest possible volume of forest resources and industrial waste. The main aim of this work was to use Acacia catechu waste wood chips from which kattha and cutch were already extracted. Different combinations of heat, temperature, and resin were used to manufacture the particleboard. Particleboards were examined for their mechanical and physical properties. Two different pressures of 17.5 Kg cm-2 and 21 Kg cm-2 with a resin content of 10 percent and 12 percent were used for their processing. The density of the particleboards ranged from 0.69 to 0.76 g cm-3. Particleboard made from Acacia catechu at 21 kg cm-2 at 10 percent resin showed the highest physical and mechanical properties. The results showed that it is important to establish future research along these lines that waste material should be suitable for manufacturing high-quality particleboards with high strength and dimensional features. Further treatments may be necessary for improving the quality of a panel, particularly its dimensional stability. Keywords: Deforestation and forest degradation, Research, Sustainable forest management, Biodiversity conservation, Innovation ID: 3484636 -
DocumentExamining the applicability of UAV-based photogrammetry to assess sediment yield from small fire-affected forests
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Forest clearance after a fire is commonly implemented in fire-affected forests in South Korea, removing damaged vegetation and ash-litter layers. It undoubtedly affects hydrological processes, thereby leads to severe soil erosion to the downstream waterbodies such as stream, reservoir, dam. Therefore, accurate understanding of the magnitude of sediment yields is a prerequisite to implement the sediment control measures in the fire-affected region. Over the past decades, direct field measurement of sediment yields has been conducted over the world, particularly in South Korea. The traditional field survey has restricted to the application due to requiring a lot of labor and time and is only used to small and limited area. In this study, we tried to overcome the limitations of traditional approach by monitoring the sediment yield variations through images obtained from UAVs. For this purpose, direct field survey and UAV image-based photogrammetry were conducted on erosion control dams located in the downstream of mountain terrain. A comparison of sediment deposition in the dams were done to assess the applicability and reliability of UAV photogrammetry in forest sectors. The results show that UAV-derived photogrammetry technique can be considered as the alternative of field surveying when estimates the relief and terrain shape in a site where direct access and available resource are limited. This study may introduce a simple and accurate methodology for measuring soil loss and sediment yield on degraded mountain areas. Keywords: Monitoring and data collection ID: 3623072 -
DocumentModelling pine and spruce wood mechanical properties in different initial stand density plantations in Lithuania
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Two main parameters of wood quality in constructions are wood modulus of elasticity (MOE) and bending strength (MOR). To understand what kind of quality wood we are growing in our forests and how environment and forest management could affect wood quality parameters, we need to model these parameters by stand, tree, and sample results. This would help to predict MOE and MOR for the future stands.
To determine the influence of stand density and thinning intensity on wood mechanical and physical properties of Scots pine and Norway spruce, the data was obtained from experimental trials plots, which were established in 1990 by Institute of Forestry. The experimental object was divided to a smaller trial plots with different initial stand density: 2 plots with 3000-4400 trees per hectare, 2 plots with 2000-2400 trees per hectare, 2 plots with 1000-1200 trees per hectare. In these trial plots different thinning programs were used 3; 2; 1 time. From each trial plot 6 model trees were chosen (38 Spruce and 76 Pine trees).
Models were created by SAS statistical package. General linear regression models were chosen to create 4 models for prediction of: dynamic modulus of elasticity for log (MOElog); dynamic modulus of elasticity for samples (MOEdyn); global static modulus of elasticity (MOE) and bending strength (MOR) All parameters for creating models were chosen as random effects. Stand parameter was stand density (SD). Tree parameters were diameter at breast high (DBH), competition index (CI), average ring width (RD), average ring density (RD) and log high (LH). Sample parameters were knot at fracture point (K) and sample wood density (WD).
Best result for MOE models was in pine stand R2=0,82 spruce stand R2=0,85. R2=0,57 was in pine stand for MOR and R2=0,65 in spruce stand. Keywords: Sustainable forest management, Research ID: 3484790
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