DocumentCode :
2348460
Title :
GIS-Based Forest Fire Risk Assessment and Mapping
Author :
Gai, Chengcheng ; Weng, Wenguo ; Yuan, Hongyong
Author_Institution :
Dept. of Eng. Phys., Tsinghua Univ., Beijing, China
fYear :
2011
fDate :
15-19 April 2011
Firstpage :
1240
Lastpage :
1244
Abstract :
Forest fire is a usual disaster in real life, causing huge live, property and ecology losses. A risk assessment model to identify, classify and map forest fire risk areas is presented in this paper. This model considers three parts, i.e. hazards identification, vulnerability analysis, and emergency response capacity analysis. The first part concentrates on several influence factors in forest fires, including the land use, topography and meteorology where the forest situate. The second part is made up of population density and value of forest resources. The forest fire response capacity including forest fire-brigade, watch-tower and helicopter water source is the third part. Through GIS spatial analytical procedure, the forest fire risk ranging from high to low is derived, according to its sensitivity to fire or fire-inducing capability. Spatial analyst is used to combine some single influence factors in risk maps to display the total fire risk map. The weight to each factor is determined by Grey Relativity Analysis (GRA). This model is illustrated with a case study of forest fire risk of area in China. It is suggested that risk mapping is helpful for the forest fire management to minimize forest fire hazard.
Keywords :
disasters; ecology; fires; forestry; geographic information systems; grey systems; hazards; risk management; GIS spatial analytical procedure; GIS-based forest fire risk assessment; GRA; disaster; ecology losses; emergency response capacity analysis; fire risk map; fire-inducing capability; forest fire hazard; forest fire management; forest fire response capacity; forest fire risk areas; forest fire-brigade; forest resources; grey relativity analysis; hazards identification; helicopter water source; land use; meteorology; population density; risk assessment model; risk mapping; spatial analyst; topography; vulnerability analysis; watch-tower source; Emergency services; Fires; Geographic Information Systems; Helicopters; Remote sensing; Risk management; GIS; forest fire; natural hazard; risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
Type :
conf
DOI :
10.1109/CSO.2011.140
Filename :
5957877
Link To Document :
بازگشت