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Coupling Diagnostic and Prognostic Models to a Dynamic Data Driven Forest Fire Spread Prediction System
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Document Date: 2013-06-06 08:25:47


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File Size: 1,34 MB

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City

Catalonia / /

Company

V. B.V. / International Journal / Dynamic Data Driven Application Systems / Elsevier B.V. / /

Country

United States / Spain / /

/

Event

Man-Made Disaster / Natural Disaster / /

Facility

Colorado State University / Campus UAB / Range Experiment Station / /

IndustryTerm

integrated software system / genetic algorithm / intensive applications / public domain software / driven application system natural hazard management / eld;meteorology;parameters tuning;genetic algorithm / large search space / /

NaturalFeature

Intermountain Forest / Spain Abstract Forest / /

Organization

US Department of Agriculture / Colorado State University / US Federal Reserve / National Oceanic and Atmospheric Administration / Universitat Aut`onoma de Barcelona / USDA Forest Service / Fire and Forest Meteorological Society / Computer Architecture and Operating Systems Department / Forest Service / /

Person

Initialization / Jason Forthofer / Ana Cort / J. Lawrence A. Twisdale / Simulating / Carlos Brun / /

/

Position

model / Tech. rep. / General / B. W. Butler / /

ProvinceOrState

Georgia / /

Region

Mediterranean / /

Technology

eld;meteorology;parameters tuning;genetic algorithm / emergency systems / Linux / simulation / Operating Systems / /

URL

http /

SocialTag