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Saturday, July 11, 2020 | History

3 edition of Predicting fire behavior in palmetto-gallberry fuel complexes found in the catalog.

Predicting fire behavior in palmetto-gallberry fuel complexes

Walter A. Hough

Predicting fire behavior in palmetto-gallberry fuel complexes

by Walter A. Hough

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Published by Forest Service, U.S. Dept. of Agriculture, Southeastern Forest Experiment Station in Asheville, N.C .
Written in English

    Subjects:
  • Forest fires -- Research

  • Edition Notes

    Statementby W.A. Hough and F.A. Albini.
    SeriesResearch paper SE -- 174., Forest Service research paper SE -- 174.
    ContributionsAlbini, F. A., Southeastern Forest Experiment Station (Asheville, N.C.), United States. Forest Service.
    The Physical Object
    Pagination44 p. :
    Number of Pages44
    ID Numbers
    Open LibraryOL17817678M
    OCLC/WorldCa3739570

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Predicting fire behavior in palmetto-gallberry fuel complexes by Walter A. Hough Download PDF EPUB FB2

Hough, W. A., and F. Albini. Predicting fire behavior in palmetto-gallberry fuel complexes. Forest Service Research Paper SE Asheville, NC, USDA Forest. Additional Physical Format: Online version: Hough, Walter A. Predicting fire behavior in palmetto-gallberry fuel complexes.

Asheville, N.C.: Forest Service, U.S. Predicting fire behavior in palmetto-gallberry fuel complexes by Walter A Hough,Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station edition, in Pages: A special case 'fuel model' was developed for Palmetto-Gallberry.

It is an option in BehavePlus. Hough, W. A.; Albini, Frank A. Predicting fire behavior in palmetto-gallberry fuel complexes. Research Paper SE-RP Asheville, NC: USDA Forest Service, Southeastern Forest Experiment Station. 46 p. Hough WA, Albini FA () Predicting fire behavior in palmetto-gallberry fuel complexes.

Research paper SE U.S. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, Asheville, p 44 Google Scholar. Ignition patterns and prescribed fire behavior in southern pine stands, Georgia Forest Research Paper Macon, GA: Georgia Forestry Commission, Research.

Development of a model system to predict wildfire behaviour in pine plantations. Palmetto-Gallberry Fuel Complexes. for both dry and wet Eucalyptus forests. Effects of fuel load and moisture content on fire behaviour and heating in masticated litter-dominated fuels.

Predicting Fire Behavior in Palmetto- Gallberry Fuel Complexes. Photo series for estimating post-hurricane residues and fire behavior in southern pine.

Gen. Tech. Rep. SE– Asheville, NC: U.S. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station. 19 p. Hough, Walter A.; Albini, Frank A. Predicting fire •Total ash content and Silica-free ash content, in behavior in palmetto-gallberry fuel complexes. general, differed between species and increased with Res.

Pap. SE Asheville, NC: U.S. Depart-passage of time following leaf fall, although not al- ment of Agriculture, Forest Service, Southeast. The BehavePlus Fire Modeling System is among the most widely used systems for wildland fire prediction.

It is designed for use in a range of tasks including wildfire behaviour prediction, prescribed fire planning, fire investigation, fuel hazard assessment, fire model understanding, communication and research.

BehavePlus is based on mathematical models for fire Cited by: Hough, WA, Albini, FA, (), Predicting fire behavior in palmetto-gallberry fuel complexes. US Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, Research Paper SE, Asheville, NC, 44 Google ScholarCited by: 1.

Height Sensor To Estimate Forest Fire Intensity Kevin C. Ryan Abstract The length of flames of wildland fires is a relative indicator of fireline intensity and an important index to fire effects and difficulty of control. A technique for measuring flame height and flame-tilt angle for the purpose of calculating flame length is described.

Fire managers often model pine needles as 1 h timelag fuels, but fuelbed properties may significantly change the rate at which needles exchange moisture with the atmosphere. The problem of determin Cited by:   Experimental burning trials in saw palmetto-gallberry fuels in the southeastern United States (Hough, Southern Forest Fire Laboratory Staff ) were equivocal with respect to differences in fuel consumption between backing and heading fires.

The sites sampled for this study were burned during operational prescribed fires, and I had Cited by: Manipulating season-of-burn to alter the understory has implications for potential fire behavior because the amount and structure of surface fuels differ between shrub- and herb-dominated types (Anderson, ).Measures of fire behavior can be high for shrub-dominated vegetation (Saglam et al.,Hough and Albini,Andreu et al., ).

Cited by: Predicting fire behavior in palmetto-gallberry fuel complexes. U.S. Department of Agriculture, Forest Service, Research Paper SE Southeastern Forest Experiment Station, Asheville, North Carolina.

44 pages. This banner text can have markup. web; books; video; audio; software; images; Toggle navigation. Full text of " Research accomplishments: forests for our needs" See other formats. Free essays, homework help, flashcards, research papers, book reports, term papers, history, science, politics.

Studylib. Documents Flashcards Grammar checker Login Upload document This file was created by scanning the printed publication. PRESCRIBED FIRE IN SOUTHERN FORESTS Postburn results Rewritten in by Dale D.

Wade, well in both palmetto/gallberry and Piedmont fuel types. * When underburning Coastal Plain fuel types, actual fine-fuel moisture pick the .Predicting fire behavior in palmetto-gallberry fuel complexes.

Treesearch. W A. Hough; F. A. Albini. Rate of spread, fireline intensity, and flame length can be predicted with reasonable accuracy for backfires and low-intensity head fires in the palmetto-gallberry fuel complex of the South.

This fuel complex was characterized and.Facts and Data, Fire Activity, Forest Combustion, Combustion Stages, Fire Environment, Fire Weather Observations, Drought, Wildfires and Drought, Fire Danger and the Public, Fuels and Fire Behavior, Fuel Profiles, Standard Fuel Measurements, Fire Behavior Prediction, Extreme Fire Behavior,