2 edition of Diurnal variation in the fine fuel moisture code found in the catalog.
Diurnal variation in the fine fuel moisture code
Bruce D. Lawson
by Canada-British Columbia Partnership Agreement on Forest Resource Development in Victoria, B.C
Written in English
|Statement||by B.D. Lawson, O.B. Armitage, W.D. Hoskins.|
|Series||FRDA report -- 245.|
|Contributions||Armitage, O. B., Hoskins, W. D., Canada-British Columbia Partnership Agreement on Forest Resource Development: FRDA II.|
|The Physical Object|
|Pagination||vi, 20 p. :|
|Number of Pages||20|
|LC Control Number||96960047|
fuel moisture models have been developed that have been shown to better predict daily and seasonal changes in fuel moisture . These m odels would allow the development of a new set of fine dead fuel moisture tables that are more applicable to a wider range of fuel types. Doing. The Canadian Fire Fuel Moisture Code (FFMC) came closest to meeting our needs and was selected as a base model. Improvements to the FFMC were concentrated on providing a means of accounting for annual and diurnal variation due to solar heating of woody fuels.
Results show that the model tracks the diurnal variation in actual litter moisture content more accurately than the existing model for diurnal calculation of the FFMC in the CFFDRS. Practical examples of the application of this system for operational estimation of litter moisture are provided for stands of varying densities and types. Canadian Fine Fuel Moisture Code (FFMC) came closest to meeting our needs and was selected as a base model. Improvements to the FFMC were concen trated on providing a means of accounting for annual and diurnal variation due to solar heating of woody fuels.
The basis of live fuel moisture causes some confusion among fire practitioners (i.e., how can fuel have more than % moisture?). Moisture content of wildland fuels is expressed in relation to dry weight, not just the proportion of water in the fuel. It is the dry material that provides the heat to evaporate water so that the fuel will burn. The FWI System was selected, in preference to the McArthur forest fire danger index (FFDI) (McArthur ) that is widely used in Australia, since the FWI includes multiple fuel moisture components: the Fine Fuel Moisture Code (FFMC), which represents the moisture content of fine fuels and litter on the forest floor (based on rainfall.
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Diurnal variation in the fine fuel moisture code: tables and computer source code. Lawson, B.D.; Armitage, O.B.; Hoskins, W.D. Natural Resources Canada. Get this from a library. Diurnal variation in the fine fuel moisture code: tables and computer source code.
[Bruce D Lawson; O B Armitage; W D Hoskins; Canada-British Columbia Partnership Agreement on Forest Resource Development: FRDA II.]. Diurnal Variation in the Fine Fuel Moisture Code: Tables and Computer Source Code: Author(s) or contact(s): B.D.
Lawson, O.B. Armitage, and W.D. Hoskins Source: Research Branch Subject: Fire Management Series: FRDA Report Other details: Published Hardcopy is available. There is an hourly version of the Fine Fuel Moisture Code that reflects variability influenced by temperature and humidity changes throughout the day and night.
Using the corresponding, locally observed windspeed, updated values for Initial Spread Index and Fire Weather Index may also be produced.
Diurnal variation in the Fine Fuel Moisture Code: tables and computer source code. Canada-British Columbia Partnership Agreement on Forest Resource Development: FRDA II. FRDA Report moisture content, represented in the Canadian system by the Fine Fuel Moisture Code (FFMC).
The first means of accounting for diurnal variation in fire danger in Canada was a table produced by Beall in based on work done several years earlier (Beall ). It was in terms of the fire danger index itself (the former unit Diurnal variation in the fine fuel moisture code book, and based on an assumed normal diurnal weather trend.
Diurnal variation models for fine fuel moisture content in boreal forests in China Book. Jan ; was compared with hourly variations in the Fine Fuel Moisture Code and daily variations. Jolly, W.M., Development of fine dead fuel moisture field references for the Southeastern United States: SimpleFFMC, USDA Forest Service RMRS Fire Sciences Laboratory, Nelson R.M., Jr., Prediction of diurnal change in h fuel stick moisture content, Canadian Journal of Forest Research, Fine Dead Fuel Moisture and Probability of Ignition Tables.
Table B Table D Table C Table E _1_ m m o O. Table C DEAD FUEL MOISTURE CONTENT CORRECTIONS FEBRUARY MARCH APRIUAUGUST SEPTEMBER OCTOBER Exposed - Less than 50% Shading of Surface Fuels e 31% + 31% + Shaded.
Underburning. Fine-fuel moisture is strongly influenced by rainfall, relative humidity, and temperature. The preferred range in actual (not calculated) fine-fuel moisture of the upper litter layer (the surface layer of freshly fallen needles and leaves) is from 10 to 20 g when fine-fuel moisture is below 6 or 7 percent can result in damage to plant roots and even the soil.
of litter and other cured fine fuels such as needles, mosses, and twigs will be enough to offset the increased drying due to tem-perature increases is uncertain (Bergeron and Flannigan ; Podur and Wotton ).
The Fine Fuel Moisture Code The Fine Fuel Moisture Code (FFMC) represents the moisture content of the top 1 to 2 cm deep litter layer.
Calculated values are sometimes outside the bounds of variability in moisture content determined from the data, suggesting the need for further tests. The model simulates diurnal change in moisture content and temperature of h sticks but can be adapted to cylindrical wood sticks of any practical size.
Lawson BD, Armitage OB, Hoskins WD (a) Diurnal variation in the Fine Fuel Moisture Code: tables and computer source code. Canada–British Columbia Partnership Agreement on Forest Resource Development: FRDA II.
FRDA Report Canadian Forest Service, Pacific Forestry Centre, Victoria, BC. moisture content of needles and feathermoss on dry days, and both models overestimated needle moisture content and under estimated feathermoss moisture content following rain.
keywords: day length, destructive sampling, diurnal, fine fuel, Fine Fuel Moisture Code, fire behavior, hourly, latitude, mois ture content, Northwest Territories. The Canadian Fire Fuel Moisture Code (FFMC) came closest to meeting our needs and was selected as a base model.
Improvements to the FFMC were concentrated on providing a means of accounting for annual and diurnal variation due to solar heating of woody fuels. This was necessary because the FFMC was developed for fuels located within forest.
along a north and south aligned valley and combined with collection of destructive fine fuel moisture content data in order to quantify variations due to differences in slope and aspect. South-facing sites were found to be slightly warmer (°C), less humid (5%) and received on.
Empirical models for predicting diurnal variations in air temperature, wind speed, and relative humidity, given daily maximum and minimum values, latitude, and Julian date, have been developed. Solar heating during the daytime is quantitatively depicted using a truncated sine function, and nighttime cooling is characterized by an exponential.
- Douglas-fir) fuel types, and thus the fire intensity. In terms of fire-growth modelling, it is important to have correct diurnal trends in the fine fuels in order to produce realistic fire behaviour. The purpose of this paper is to compare methods of calculating hourly values of the Fine Fuel Moisture Code (FFMC) used in Canada.
In The. 1. Introduction. The moisture content of dead fine forest fuels, defined as plant material less than 6 mm in diameter, is an important determinant of many aspects of fire behaviour, including ignition probability, rate of spread, fire intensity and fuel consumption (Nelson,Pyne et al., ), and it is therefore a central component of nearly all fire behaviour and fire danger rating.
Foliar moisture content Fuel moisture refers to the amount of moisture present in the fuel and is typically expressed as a percentage of the mass of water relative to the mass of the fuel.
Fuel. Several methods are available for estimating the moisture content of h response time fuels in the US National Fire Danger Rating System (NFDRS).
These fuels are represented by an array of four cm diameter ponderosa pine (Pinus ponderosa) dowels weighing about g when oven dry. The prediction model currently used in the NFDRS is driven by information from afternoon weather readings.
Ran Zhang, Haiqing Hu, Zhilin Qu, Tongxin Hu, Diurnal variation models for fine fuel moisture content in boreal forests in China, Journal of Forestry Research, /s.
Van Wagner, C.E. A method for computing fine fuel moisture content throughout the diurnal cycle. Information Report. PS-X Canadian Forest Service, Petawawa National Forestry Institute. Chalk River, ON. 15 pp.