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Estimating Moisture Content of Heavy Forest Fuels

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The specification of moisture contents in forest fuels is an integral part of any workable fire-danger rating system. This paper presents a linear model for estimating the moisture content of the 100-hour timelag fuels. The variables in the model include yesterday's computed value for 100-hour timelag fuel moisture, today's observed 10-hour timelag fuel moisture and a binary variable which is set if rain has occurred in the 24 hours prior to the observation time. The standard error of estimate for a data set of 69 points including 25 days during which some precipitation occurred was 0.65 percent. Forest Sci. 21:135-139.
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Keywords: Fire hazard; fuel moisture; weather effects

Document Type: Journal Article

Affiliations: Meteorologist, Rocky Mountain Forest and Range Experiment Station, Forest Serv., U.S. Dep. Agric. with central headquarters at Fort Collins, Colorado, maintained in cooperation with Colorado State University

Publication date: 1975-06-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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