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Differences in fire danger with altitude, aspect, and time of dayAuthor(s): G. L. Hayes
Source: Journal of Forestry. 40(4): 318-323.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
PDF: Download Publication (1.11 MB)
DescriptionThe measurement of fire danger has progressed remarkably since the early days of measuring humidity alone, or humidity and wind, or humidity, wind, and rain at a few valley bottom stations scattered widely apart over a forest of a million acres or more. Measuring the moisture content of the fuels directly is now known to be more accurate than measuring humidity and rain and then estimating the fuel moisture and inflammability. Other factors, such as the shade of timber canopies of different densities, north-versus south-facing slopes, valley bottom versus ridge top or mountain top exposure, the greenness of vegetation, etc., are also now being recognized as significant. Obviously, all significant factors deserve careful consideration if danger ratings of any kind are to be used most effectively by field men. The hope or dream of one single, simple factor to be measured only once or twice each day at one station as a criterion of fire danger over a large area has now been completely abandoned in most forest regions. Forest fire danger is "not that simple." Furthermore, the protection of our forest resources from fire is now recognized to be of great enough importance to warrant much more than one measurement per day at one or two stations per million acres to determine what measures must be applied to safeguard them from destruction.
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CitationHayes, G. L. 1942. Differences in fire danger with altitude, aspect, and time of day. Journal of Forestry. 40(4): 318-323.
Keywordsfire danger, measurement, fuel moisture, inflammability
- Modeling topographic influences on fuel moisture and fire danger in complex terrain to improve wildland fire management decision support
- Relation between moisture content of fine fuels and relative humidity.
- Using fire-weather forecasts and local weather observations in predicting burning index for individual fire-danger stations.
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