Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 51 for “"Fire behavior"”.
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Predicting Large Domain Multi-Physics Fire Behavior Using Artificial Neural Networks
Fire dynamics is a complex process involving multi-mode heat transfer, reacting fluid flow, and the reaction of combustible materials. High-fidelity predictions of fire behavior using computational fluid dynamics (CFD) models come at a significant computational cost where simulation times are often …
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SPATIAL VARIABILITY IN FOREST FUELS: SIMULATION MODELING AND EFFECTS ON FIRE BEHAVIOR
… in fuel beds and an increasing human population. Fire management policy emphasizes fuel treatments, such as thinning and prescribed burning, to remedy this situation because fuels are the one component of the problem that we can directly affect through management action. At present, however, the …
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SPATIAL VARIABILITY IN FOREST FUELS: SIMULATION MODELING AND EFFECTS ON FIRE BEHAVIOR
… in fuel beds and an increasing human population. Fire management policy emphasizes fuel treatments, such as thinning and prescribed burning, to remedy this situation because fuels are the one component of the problem that we can directly affect through management action. At present, however, the …
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Fire behavior and the spatial patterns of the Oakland and Berkeley Hills
Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1996.
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Comparing crown fire predictions in ponderosa pine stands among four fire behavior models
Fire and land managers commonly use fire behavior modeling systems to support their planning and decision-making process. Fire modeling systems have been increasingly used across the western United States to plan fuel treatments that reduce hazard fuels, especially as a drier climate has resulted …
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Nano-filled Epoxy: Mechanical and Fire Behavior and Modeling of Nanocomposite Columns Under Fire
… of the stability of nanocomposite columns under fire are presented for nano-filled Diglycidyl Ether of Bisphenol A epoxy. The nanofillers used are montmorillonite nanoclays and carbon nanofibers. Three types of nanocomposites are manufactured: epoxy-clay, epoxy-carbon nanofiber, and …
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Overstory structure and detrital dynamics of ponderosa pine forests: insights into fire behavior and its carbon consequences
Large, stand-replacing fires in the ponderosa pine forests of the Colorado Front Range have raised questions about long-term changes in fire severity and the controls on fire behavior. It is widely believed that fire suppression has contributed to fuel accumulation and, consequently, has caused …
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Influence of Woody Vegetation Composition and Structure on Fuels and Prescribed Fire in Mountain Longleaf Restoration
… widespread ecological state shift largely due to fire exclusion which has allowed mesophytes, i.e., shade-tolerant, often fire-sensitive species to encroach, reducing flammability and biodiversity through a process known as “mesophication.” Although prescribed fire is commonly used to reverse …
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Long-term Fuel and Vegetation Responses to Mechanical Mastication in northern California and southern Oregon
… land use and changes in climate have altered fire behavior and severity in fire-prone ecosystems of western North America. A variety of fuels treatments are used to abate fire hazard, restore ecosystem processes, and increase forest resilience. Mechanical fuels treatments are increasingly used …
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Development of an Advanced Stem Heating Model
… model for predicting stem heating during fires is presented. The model makes use of moisture and temperature dependent thermal properties for bark and wood. Also, the thermal aspects of the processes of bark swelling, desiccation, and devolatilization are treated in an approximate fashion. …
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Initial Assessment of Canopy Fuel Factors in Forested Areas of the Netherlands
… and their structures will be affected by fire and to better estimate the impact of those fires. This study is part of a continuing collaboration between the Stephen F. Austin State University’s Arthur Temple College of Forestry and Agriculture and the Instittut Fysieke Veiligheid to assess …
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Managing disturbance in the longleaf pine ecosystem: effects of managed fire regime characteristics on fire hazard and community ecology at multiple spatial scales
… ecosystem is adapted to frequent, low-intensity fire, however, naturally occurring fire no longer burns with sufficient frequency to maintain the ecological structure and function necessary to sustain high levels of biological diversity. To compensate, aggressive prescribed fire programs are …
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A geospatial tool for assessing potential wildland fire risk in central Texas.
Wildland fires in the United States are not always confined to wilderness areas. The growth of population centers and housing developments in wilderness areas has blurred the boundaries between rural and urban. This merger of human development and natural landscape is known in the wildland fire …
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Three-dimensional wildland fuel mapping with remote sensing and machine learning
The 21st century has seen a global increase in fire size and severity, including the western United States. Historically loaded forests, changing precipitation patterns, and lengthening fire seasons place a significant strain on land management and firefighting capacity. Fire behavior is a fine …
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Turning up the heat: fire ecology and climate adaptive silviculture in longleaf pine forests
Frequent fire is required to maintain the characteristic structure, function, and high biodiversity of longleaf pine woodlands. Longleaf pine regeneration is exposed to this frequent fire, yet persists as both patches and single tree regeneration. While research has shown that this regeneration …
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Applications of Remote Sensing and GIS to Modeling Fire for Vegetative Restoration in Northern Arizona
An accurate fire model is a useful tool in predicting the behavior of a prescribed fire. Simulation of fire requires an extensive amount of data and can be accomplished best using GIS applications. This paper demonstrates integrative procedures of using of ArcGIS™, ERDAS Imagine™, GPS, and FARSITE© …
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