The Canadian Forest Fire Danger Rating System
Author | : Brian J. Stocks |
Publisher | : |
Total Pages | : 8 |
Release | : 1989 |
Genre | : |
ISBN | : |
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Author | : Brian J. Stocks |
Publisher | : |
Total Pages | : 8 |
Release | : 1989 |
Genre | : |
ISBN | : |
Author | : Northern Forest Research Centre (Canada) |
Publisher | : |
Total Pages | : |
Release | : 1982 |
Genre | : |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 8 |
Release | : 1989 |
Genre | : |
ISBN | : |
Author | : B. D. Lawson |
Publisher | : |
Total Pages | : 90 |
Release | : 2008 |
Genre | : Fire risk assessment |
ISBN | : |
This weather guide includes detailed specifications for locating and instrumenting fire weather stations, taking weather observations, and overwintering the Drought Code component of the FWI System. The sensitivity of the FWI System components to weather elements is represented quantitatively. The importance of weather that is not directly observable is discussed in the context of fuel moisture and fire behavior. Current developments in the observation and measurement of fire weather and the forecasting of fire danger are discussed, along with the implications for the reporting of fire weather of increasingly automated fire management information systems.
Author | : Benjamin Schwarz |
Publisher | : GRIN Verlag |
Total Pages | : 23 |
Release | : 2014-09-01 |
Genre | : Technology & Engineering |
ISBN | : 3656732442 |
Seminar paper from the year 2014 in the subject Forestry / Forestry Economics, grade: 1,3, University of Toronto, language: English, abstract: This paper describes and compares conceptually the Fire Weather Index (FWI) system of Canada and the National Fire Danger Rating System (NFDRS) of the USA. The relatively simple FWI system rates fire danger for all Canada and is based on empirical field-data derived from a single fuel type. The laboratory-based NFDRS, in contrast, allows more specification for distinct fire danger areas and models fuel moisture more abstract and in different classifications. Relative strengths and weaknesses with regard to the vegetative conditions in the particular country are discussed. The use of empirical data and the good and simple representation of soil moisture are the major strengths of the FWI system. The NFDRS wins through its possibility to model specifically a distinct fire danger area and through the consideration of live fuel moisture content. The conclusion of this paper is that both systems can benefit from each other. A combination of the simplicity of the FWI and specialization on a distinct area through the site descriptors similar to the ones of the NFDRS is proposed.
Author | : |
Publisher | : |
Total Pages | : 56 |
Release | : 2021 |
Genre | : Forest fire forecasting |
ISBN | : 9780660372662 |
Author | : C. E. Van Wagner |
Publisher | : chalk river, ont. : petawawa forest experiment station |
Total Pages | : 56 |
Release | : 1975 |
Genre | : Forest fire forecasting |
ISBN | : |
Author | : Canada. Forestry Canada. Fire Danger Group |
Publisher | : |
Total Pages | : 68 |
Release | : 1992 |
Genre | : Nature |
ISBN | : |
The Canadian Forest Fire Behavior Prediction (FBP) System is a subsystem of the larger Canadian Forest Fire Danger Rating System, which also includes the Canadian Forest Fire Weather Index (FWI) System. The FBP system provides quantitative estimates of head fire spread rate, fuel consumption, fire intensity and fire description and gives estimates of fire area, perimeter, perimeter growth rate and flank and back fire behaviour. This report describes the structure and content of the system and its use with forest fire characteristics.
Author | : C. E. Van Wagner |
Publisher | : |
Total Pages | : 56 |
Release | : 1987 |
Genre | : Fire weather |
ISBN | : |
Author | : Kelvin G. Hirsch |
Publisher | : UBC Press |
Total Pages | : 136 |
Release | : 1996 |
Genre | : Nature |
ISBN | : |
The Canadian Forest Fire Behaviour Prediction (FBP) System provides a systematic method of assessing fire behaviour. The FBP System has 14 primary inputs that can be divided into 5 general categories: fuels, weather, topography, foliar moisture content, and type and duration of prediction. In the FBP System these inputs are used to mathematically develop 4 primary and 11 secondary outputs. Primary outputs are generally based on a fire intensity equation, and secondary outputs are calculated using a simple elliptical fire growth model. This publication provides diagrams, examples, and exercises that explain the FBP System in a user-oriented manner. This guideline delineates the interpretation of the FBP System's inputs and outputs and details how the predictions are derived.