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Presentation Type
Presentation
Full Name of Faculty Mentor
Aneilya Barnes, History, and Susan Bergeron, Anthropology & Geography
Major
Digital Culture and Design
Presentation Abstract
In the past decade, climate change effects have increased drastically, impacting the number of forest fires occurring across the world. This study seeks to examine identified and mapped forests within California and explore environmental and cultural factors that play significant roles in determining the likelihood of forest fires occurring at each location. Primary data sets for this study include GIS map layers of temperatures, forest cover, droughts, and locations of past fires across California. It also incorporates information on specific types of forests and trees found in the state and collected statistics on different dynamics of fire conditions. Combining all the collected data and creating separate map layers for each feature will result in one layered GIS risk map that shows predictions for the likelihood of forest fires occurring in specific locations across California, making better preparation for future forest fires possible, especially in forest areas of higher risk.
Location
Virtual Session Room 3
Start Date
21-4-2021 4:30 PM
End Date
21-4-2021 4:50 PM
Recommended Citation
DeBoy, Allison, "Risk Mapping of Possible Forest Fires in California" (2021). Undergraduate Research Competition. 38.
https://digitalcommons.coastal.edu/ugrc/2021/fullconference/38
Risk Mapping of Possible Forest Fires in California
Virtual Session Room 3
In the past decade, climate change effects have increased drastically, impacting the number of forest fires occurring across the world. This study seeks to examine identified and mapped forests within California and explore environmental and cultural factors that play significant roles in determining the likelihood of forest fires occurring at each location. Primary data sets for this study include GIS map layers of temperatures, forest cover, droughts, and locations of past fires across California. It also incorporates information on specific types of forests and trees found in the state and collected statistics on different dynamics of fire conditions. Combining all the collected data and creating separate map layers for each feature will result in one layered GIS risk map that shows predictions for the likelihood of forest fires occurring in specific locations across California, making better preparation for future forest fires possible, especially in forest areas of higher risk.