Affiliation:
1. School of Biological, Guizhou Education University, Gaoxin St. 115, Guiyang 550018, China
2. Key Laboratory of Ecology and Management on Forest Fire in Universities of Guizhou Province, Guizhou Education University, Gaoxin St. 115, Guiyang 550018, China
Abstract
The Rothermel model, which has been widely used to predict the rate of forest fire spread, has errors that restrict its ability to reflect the actual rate of spread (ROS). In this study, the fuels from seven typical tree species in the Karst ecosystems in southern China were considered as the research objects. Through indoor burning simulation, three methods, namely directly using the Rothermel model, re-estimating the parameters of the Rothermel, and reforming the model, were evaluated for applicability in Karst ecosystems. We found that the direct use of the Rothermel model for predicting the ROS in the Karst ecosystems is not practical, and the relative error can be as high as 50%. However, no significant differences between the prediction effect of re-estimating the parameters of the Rothermel and the reformed model were found, but the reform model showed more evident advantages of being simpler, and the errors were lower. Our research proposes a new method that is more suitable for predicting the rate of forest fire spread of typical fuels in Karst ecosystems under flat and windless conditions, which is of great significance for further understanding and calculating the ROS of forest fires in the region.
Funder
Science and Technology Support Program of Guizhou Province
China National Natural Science Foundation
Youth Science and Technology Talent Development Project of Education Department in Guizhou Province
Reference36 articles.
1. Rothermel, R.C. (1972). A Mathematical Model for Predicting Fire Spread in Wildland Fuels, Research Paper INT-115.
2. Wild-land fire spread by radiation—A model including fuel cooling by natural convection;Albini;Combust. Sci. Technol.,1986
3. Wildland surface fire spread modeling, 1990–2007. 1: Physical and quasi-physical models;Sullivan;Int. J. Wildland Fire,2009
4. Brown, T.J., Potter, B.E., Larkin, N., and Anderson, K. (2007, January 23–25). BehavePlus fire modeling system: Past, present, and future. Proceedings of the 7th Symposium on Fire and Forest Meteorology, Bar Harbor, ME, USA. Available online: http://ams.confex.com/ams/pdfpapers/126669.pdf.
5. Finney, M.A. (1998). FARSITE: Fire Area Simulator-Model Development and Evaluation, Research: Paper RMRS-RP-4.
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