Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Cooke, William H. III
Committee Member
Choi, Jinmu
Committee Member
Rodgers, John C.
Date of Degree
5-5-2007
Document Type
Graduate Thesis - Open Access
Major
Geosciences
Degree Name
Master of Science
College
College of Arts and Sciences
Department
Department of Geosciences
Abstract
The human risk as a spatial component using Newton?s Gravity model is explored for the first time in this research along with fuels and road density variables to predict the fire occurrences for Southeast Mississippi fire district. The fire risk map indicated that fires occur in clusters and are dependent on fire size and distance from roads. The results proved that fire size increases as fire locations increase. Fire locations decrease significantly beyond 160 meters with increasing road distance. The Gravity model proved to be a better estimator of fire risk while a similar road density model proved to be better in very low and medium fire risk zones. Compared to road density, the gravity model significantly proved a better estimate of very low fire risk for all seasons and summer low fire risk. For all other fire risks, though, gravity model showed better results no significant differences were observed.
URI
https://hdl.handle.net/11668/14924
Recommended Citation
Sadasivuni, Raviraj, "Gravity Model to Detect Forest Fire Prone Areas in the Southeast Fire District of Mississippi" (2007). Theses and Dissertations. 2437.
https://scholarsjunction.msstate.edu/td/2437