Forest Fire Risk Assessment Using Point Process Modeling & Monte Carlo Fire Simulation: A Case Study in Gyeongju, South Korea
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Forest Fire Potential Modeling and Simulation of its Extension Using Remote Sensing Data and GIS: (A Protected Area of Arasbaran)
Forest fire models are generally used in different aspects of fire management and are helpful in understanding and prediction of fire behavior. Forest fires cause a significant damage for public property by destroying a large tract of forest. This helps fire fighters to focus on an area with greater risk and to develop better substructure for fire fighter training and ultimately to plan fire-f...
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Background and Objective: Industrial estates have been described as highly prone to fire incidents. According to the baseline studies, more than 85% of the industrial accidents occurring in industrial estates during the 80s and 90s were fire incidents affecting more than one factory in 10% of the cases. Materials and Methods: After the identification of 30 high-risk industries in Abbasabad i...
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Forest fire brings forest destruction as an important part of human environments, air pollution, and the loss of wealth and facilities, and endangers the lives of human beings in the vicinity of the forest. It is one of the examples of natural crises and is considered to be a crisis management. Identifying the effective factors in the occurrence of fire and hazard zoning is one of the basic too...
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Abstract Background and objectives: Rangeland fires have devastating effects on the landscape, performance and services of rangeland ecosystems. Despite the efforts of experts, decision makers, stakeholders and government agencies in recent decades to reduce the effects of fire, its number and related economic and human losses are increasing worldwide. One of the most important measures to r...
متن کاملCluster recognition in spatial-temporal sequences: the case of forest fires
Forest fire sequences can be modelled as a stochastic point process where events are characterized by their spatial locations and occurrence in time. Cluster analysis permits the detection of the space/time pattern distribution of forest fires. These analyses are useful to assist fire-managers in identifying risk areas, implementing preventive measures and conducting strategies for an efficient...
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تاریخ انتشار 2016