نتایج جستجو برای: farsite
تعداد نتایج: 75 فیلتر نتایج به سال:
Fire growth simulation is the modeling of fire spread and behavior across landscapes with heterogeneous fuels, weather, and topography. FARSITE is a computer program designed to simulate fire growth using existing models of fire behavior found in BEHAVE (Andrews 1986) and in the Canadian Forest Fire Behaviour Prediction System (Forestry Canada Fire Danger Group 1992). There are numerous uses fo...
FARSITE fire area simulator was used to test the effectiveness of a small mechanical fuel treatment in a bitterbrush/sagebrush shrubland in the Eastern Sierra Nevada. Custom fuel models were created for input into FARSITE using a combination of data obtained from the Southwestern Fuels Photo Series and fuels data collected at the study site for treated and untreated areas. Fuels data were calib...
Farsite is a secure, scalable file system that logically functions as a centralized file server but is physically distributed among a set of untrusted computers. Farsite provides file availability and reliability through randomized replicated storage; it ensures the secrecy of file contents with cryptographic techniques; it maintains the integrity of file and directory data with a Byzantine-fau...
This paper discusses our general approach to load management in a distributed system, as well as its application to a particular system, Farsite. Farsite is a peer-to-peer distributed file system that uses its constituent machines to maintain consistency of file system metadata and replicated file content. We argue that control theory is inappropriate for load management in this and other simil...
FARSITE is a computer based model of fire spread that utilized spatially resolved data to simulate fires occurring over areas of heterogeneous fuels, topography, and weather (Finney 1996). In as much as changes in fuel characteristics can be reflected both in nature and extent, FARSITE offers a unique opportunity to evaluate the effects of fuel management projects while leaving all other factor...
In the last two decades several deterministic models for predicting fire behaviour have been developed. One of the most common fire growth model is the computer program Farsite (Finney, 1998), based on the Rothermel’s original fire spread equation. Farsite describes the spatial and temporal spread and behaviour of fire under different terrain, fuels, and weather conditions. It is currently used...
Abstract Background Model simulations of wildfire spread and assessments their accuracy are needed for understanding managing altered fire regimes in semiarid regions. The can be evaluated from post hoc comparisons simulated actual perimeters, but this requires information on pre-fire vegetation fuels that is typically not available. We assessed the Fire-Area Simulator (FARSITE) model parameter...
Recent major wildfires may result from a combination of climate change and fuel buildup due to fire exclusion policies of the last century. Are such fires unique to the forests and climate of the 21st century or are they similar to historic fires? Historic fires are recorded primarily by eye witness accounts which seldom contain information needed to examine them with modern fire management too...
A fire growth model (FARSITE) has been developed for use on personal computers (PC’s). Because PC’s are commonly used by land and fire managers, this portable platform would be an accustomed means to bring fire growth modeling technology to management applications. The FARSITE model is intended for use in projecting the growth of prescribed natural fires for wilderness areas. The PC model requi...
Technologies now exist to simulate and observe fire spread at spatial resolutions on the order of 30 meters. The FARSITE modeling system recently introduced to the US fire management community provides twodimensional fire spread simulations from a laptop computer, given topography, fuels, and weather information. The quality of the fire spread simulations is subject to examination. This paper d...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید