Home // ENERGY 2024, The Fourteenth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies // View article


Analysis of California Fire-Perimeter Data Using Geographic Information Systems to Examine the Correlation Between Population Density and Acres Burned

Authors:
Vivian Sultan
Hind Bitar

Keywords: Fire perimeter; Wildfires; GIS; ArcGIS.

Abstract:
The number of California wildfires has increased in the past two decades. This change has increased the authors’ and policymakers’ attention to the factors that affect this phenomenon and how to manage it. Wildfires wreak havoc on the environment by burning large sections of land, housing, animals, and people alike. Wildfires degrade air quality while hindering transportation and communication. They also present a serious threat to the power grid. This study aims to examine the correlation between population density and acres burned which may help understand and manage wildfires in the state. This research study uses California fire-perimeter data, population data, and fire-severity zones extracted from the ArcGIS hub and ScienceBase. In particular, we analyzed five years of fire-perimeter data using a geographic information system ordinary least squares analysis, attributes, and summary statistics to create new layers representing selected features involved in the process. The results show no correlation between the dependent and the explanatory variables. Further analysis suggests that wildfires may be reduced if more awareness campaigns are designed and presented to the public.

Pages: 7 to 13

Copyright: Copyright (c) IARIA, 2024

Publication date: March 10, 2024

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-68558-139-8

Location: Athens, Greece

Dates: from March 10, 2024 to March 14, 2024