Estimating Moisture Content of Heavy Forest Fuels
Abstract: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.
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: June 1, 1975
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