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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.
The Canadian Forest Fire Behavior Prediction (FBP) system is a systematic method for assessing wildland fire behaviour potential. Presented in tabular format, this guide provides a simplified version of the system and is designed to assist field staff in making approximations of FBP System outputs.
Fourth edition of tables for calculating the six standardcomponents of the Canadian Forest Fire Weather Index System. Thefirst three components are fuel moisture codes that follow dailychanges in the moisture contents of three classes of forestsfuel; the final three are fire behaviour indexes that representrate of spread, amount of available fuel, and fire intensity. The system provides a uniform method of rating fire danger acrossCanada.
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.
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.
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.
The book on ‘Forest Fire: Characteristics and Management’ embodies seven chapters providing an updated comprehensive information on history, causes & types, characteristics & behaviour, effects of fire on ecosystem dynamics i.e., plant, community, ecosystem, wildlife and soils, damaging & beneficial effects, prediction & management and, prevention & control of forest fires. In each chapter the readers will find complete information aptly backed by authentic data, examples and illustrations. Chapter eight is dedicated to bibliography. This book will be useful to students and researchers as a part of their curriculum and for forest managers/officials and planners as an important guide for managing forest fires.
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The increased fi re load is expected to increase the cost of fi re management in the province 16% by the year 2040 and 54% by the year 2090 over year 2000 costs, exclusive of infl ation or other factors. [...] In addition to increases in seasonal fi re severity indices, a number of these studies also predict increases in the frequency of occurrence of extreme fi re danger in some areas of the country (e.g., Stocks et al. [...] This study uses lightning- and people-caused fi re occurrence models developed specifi cally for Ontario with GCM projections of future climate and Ontario's level of protection analysis software, LEOPARDS (see McAlpine and Hirsch 1999) to estimate the impacts of climate change on the fi re management organization both in terms of numbers of escaped fi res and with respect to changes in operationa [...] The sites of the GCM grid cell centres and OMNR weather stations used are shown in Figure 1. Fire Weather and Fire Danger To create the fi re climate of a future decade, the monthly anomalies were applied to the daily data from the OMNR fi re weather station archive from the years 1992-2001 (corresponding to the period over which lightning records were available). [...] The Fire Behaviour Prediction (FBP) System (Forestry Canada Fire Danger Group 1992) was used in conjunction with the Initial Spread Index (ISI), the Build-up Index (BUI) (calculated on the detection date of the fi re using the FWI System), and the fuel type associated with the fi re to estimate an initial rate of spread for each fi re.