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Current and future patterns of global wildfire based on deep neural networks

Global climate change and extreme weather has a profound impact on wildfire, and it is of great importance to explore wildfire patterns in the context of global climate change for wildfire prevention and management. In this paper, a wildfire spatial prediction model based on…
Person:
Year: 2024
Type: Document
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Fire Occurrence, Fire Prevention, Models, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: fire management, GFED - Global Fire Emissions Database, convolutional neural network, area burned

Fighting fire and fumes: risk awareness and protective practices among western Australian firefighters

Background: In Western Australia, the issue of bushfires (wildfires) poses a persistent health risk to both volunteer and career forestry firefighters, populations that have been historically understudied.Aims: This descriptive qualitative study aimed to examine firefighters’…
Person:
Year: 2024
Type: Document
Source: FRAMES
Topic(s): Fire Prevention, Emissions and Smoke, Safety
Region(s): International
Keywords: Australia, bushfire, decontamination, firefighters, PPE - Personal Protective Equipment, smoke exposure, social dynamics, socioecological model, volunteer firefighter, wildfires