Affiliation:
1. School of Mechanical Engineering, Sharif University of Technology, Azadi Ave., Tehran 1458889694, Iran
Abstract
Developing models for predicting the rate of fire spread (ROS) in nature and analyzing the sensitivity of these models to environmental parameters are of great importance for fire study and management activities. A comprehensive sensitivity analysis of a general and modified quasi-physical model is provided in the current study to predict parameters that affect grassland fire propagation patterns. The model considers radiative heat transfer from the flame and fuel body and convective heat transfer to predict the fire’s rate of spread and the grassland fire patterns. The model’s sensitivity to ten main parameters that affect fire propagation, including temperature, humidity, wind speed, specifications of vegetable fuel, etc., is studied, and the results are discussed and analyzed. The model’s capability is validated with experimental studies and a comprehensive physical model WFDS. The model’s capability, as quasi-physical, faster than the real-time model, shows high consistency in fire propagation parameters compared with experimental real data from the Australian grassland fire Cases C064 and F19. The comprehensive sensitivity analysis provided in this study resulted in a modified equation for the corrected rate of fire spread which shows quite an improvement in ROS prediction from 5% to 65% compared with the experimental results. The study could be a base model for future studies, especially for those researchers who aim to design experiments and numerical studies for grassland fire spread behavior.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference84 articles.
1. Lang, Y., and Moeini-Meybodi, H. (UN Department of Economic and Social Affairs (DESA) Policy Briefs, 2021). Wildfires—A Growing Concern for Sustainable Development, UN Department of Economic and Social Affairs (DESA) Policy Briefs.
2. A Physics-Based Approach to Modelling Grassland Fires;Mell;Int. J. Wildland Fire,2007
3. Effect of Climate Change Projections on Forest Fire Behavior and Values-at-Risk in Southwestern Greece;Kalabokidis;Forests,2015
4. Lan, Z., Su, Z., Guo, M., Alvarado, E.C., Guo, F., Hu, H., and Wang, G. (2021). Are Climate Factors Driving the Contemporary Wildfire Occurrence in China?. Forests, 12.
5. Linking Fire and the United Nations Sustainable Development Goals;Martin;Sci. Total Environ.,2019
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献