Diurnal Variation in the Fine Fuel Moisture Code
Title | Diurnal Variation in the Fine Fuel Moisture Code PDF eBook |
Author | B. D. Lawson |
Publisher | Canadian Forest Service |
Pages | 32 |
Release | 1996 |
Genre | Fire weather |
ISBN |
Forest fire managers must be able to predict the normal variation in fine fuel moisture around the clock, since it is a critical factor that affects the behaviour and control of wildfires and prescribed burns. The Canadian Forest Fire Weather Index System contains a Fine Fuel Moisture Code (FFMC) that produces a standard daily index of expected fine fuel moisture at the mid-afternoon peak of fire danger, but does not output normal diurnal variation in FFMC. This paper documents the development and updating of an earlier model of diurnal variation in FFMC, presents the underlying equations and a lookup table, and announces the availability of a computer program version of the model for various user applications.
A Table of Diurnal Variation in the Fine Fuel Moisture Code
Title | A Table of Diurnal Variation in the Fine Fuel Moisture Code PDF eBook |
Author | C. E. Van Wagner |
Publisher | |
Pages | 12 |
Release | 1972 |
Genre | Forest fires |
ISBN |
Modeling Moisture Content of Fine Dead Wildland Fuels
Title | Modeling Moisture Content of Fine Dead Wildland Fuels PDF eBook |
Author | Richard C. Rothermel |
Publisher | |
Pages | 68 |
Release | 1986 |
Genre | Forest fires |
ISBN |
Describes a model for predicting moisture content of fine fuels for use with the BEHAVE fire behavior and fuel modeling system. The model is intended to meet the need for more accurate predictions of fine fuel moisture, particularly in northern conifer stands and on days following rain. The model is based on the Canadian Fine Fuel Moisture Code (FFMC), modified to account for solar heating of fuels and to predict diurnal trends in fine fuel moisture. The model may be initiated without extensive data on prior weather. When compared to the FFMC and the fire behavior officers' procedures, the new model gave consistently better predictions over the complete range of fuel conditions.
Diurnal Adjustment Table for the Fine Fuel Moisture Code
Title | Diurnal Adjustment Table for the Fine Fuel Moisture Code PDF eBook |
Author | M. E. Alexander |
Publisher | |
Pages | 0 |
Release | 1982 |
Genre | |
ISBN |
Research Paper INT.
Title | Research Paper INT. PDF eBook |
Author | |
Publisher | |
Pages | 268 |
Release | 1985 |
Genre | Forests and forestry |
ISBN |
Weather Guide for the Canadian Forest Fire Danger Rating System
Title | Weather Guide for the Canadian Forest Fire Danger Rating System PDF eBook |
Author | B. D. Lawson |
Publisher | |
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.
Wildland Fire Danger Estimation and Mapping
Title | Wildland Fire Danger Estimation and Mapping PDF eBook |
Author | Emilio Chuvieco |
Publisher | World Scientific |
Pages | 284 |
Release | 2003 |
Genre | Nature |
ISBN | 9789812791177 |
The book presents a wide range of techniques for extracting information from satellite remote sensing images in forest fire danger assessment. It covers the main concepts involved in fire danger rating, and analyses the inputs derived from remotely sensed data for mapping fire danger at both the local and global scale. The questions addressed concern the estimation of fuel moisture content, the description of fuel structural properties, the estimation of meteorological danger indices, the analysis of human factors associated with fire ignition, and the integration of different risk factors in a geographic information system for fire danger management.