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    Wildfire Risk Mitigation through Systems Analysis of the Planetary Emergency

    Source: ASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2024:;Volume ( 002 ):;issue: 001::page 04024010-1
    Author:
    James H. Lambert
    ,
    R. Ranger Dorn
    ,
    Bilal M. Ayyub
    ,
    William A. Barletta
    ,
    John F. Organek
    ,
    Marco Piras
    ,
    Megan E. Gunn
    ,
    S. Fabrizio Zichichi
    DOI: 10.1061/AOMJAH.AOENG-0040
    Publisher: American Society of Civil Engineers
    Abstract: Recognizing wildfires as a multiscale planetary emergency, this paper describes a systems analysis of technology countermeasures, with special attention to Sicily, California, and several other regions. The paper describes a framework for systems integration of firefighting, satellites, fixed imaging, and aerial vehicles, with mathematical simulation and machine learning, to support both policy mitigations and responses to incidents. The approach includes (1) the characterization of the planetary emergency of wildfires, (2) early identification of dangerous wildfires and means for their control, and (3) reduction of risks to population centers in both rural and urban areas. Societal metrics of success include human health and safety, environment and ecology, critical food and industrial supply chains, geopolitical security, and others. Several technology and policy countermeasures of particular interest are regional fuel management, distributed sensors, computational intelligence, advanced firefighting materials, protocols, and automatic and semiautonomous responses, benefiting from the latest advancements in information technologies including artificial intelligence, machine learning, and others.
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      Wildfire Risk Mitigation through Systems Analysis of the Planetary Emergency

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4304134
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    contributor authorJames H. Lambert
    contributor authorR. Ranger Dorn
    contributor authorBilal M. Ayyub
    contributor authorWilliam A. Barletta
    contributor authorJohn F. Organek
    contributor authorMarco Piras
    contributor authorMegan E. Gunn
    contributor authorS. Fabrizio Zichichi
    date accessioned2025-04-20T10:10:19Z
    date available2025-04-20T10:10:19Z
    date copyright12/19/2024 12:00:00 AM
    date issued2024
    identifier otherAOMJAH.AOENG-0040.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304134
    description abstractRecognizing wildfires as a multiscale planetary emergency, this paper describes a systems analysis of technology countermeasures, with special attention to Sicily, California, and several other regions. The paper describes a framework for systems integration of firefighting, satellites, fixed imaging, and aerial vehicles, with mathematical simulation and machine learning, to support both policy mitigations and responses to incidents. The approach includes (1) the characterization of the planetary emergency of wildfires, (2) early identification of dangerous wildfires and means for their control, and (3) reduction of risks to population centers in both rural and urban areas. Societal metrics of success include human health and safety, environment and ecology, critical food and industrial supply chains, geopolitical security, and others. Several technology and policy countermeasures of particular interest are regional fuel management, distributed sensors, computational intelligence, advanced firefighting materials, protocols, and automatic and semiautonomous responses, benefiting from the latest advancements in information technologies including artificial intelligence, machine learning, and others.
    publisherAmerican Society of Civil Engineers
    titleWildfire Risk Mitigation through Systems Analysis of the Planetary Emergency
    typeJournal Article
    journal volume2
    journal issue1
    journal titleASCE OPEN: Multidisciplinary Journal of Civil Engineering
    identifier doi10.1061/AOMJAH.AOENG-0040
    journal fristpage04024010-1
    journal lastpage04024010-15
    page15
    treeASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2024:;Volume ( 002 ):;issue: 001
    contenttypeFulltext
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