Review of state-of-the-art decision support systems(DSSs)for prevention and suppression of forest fires

被引:0
|
作者
Stavros Sakellariou [1 ]
Stergios Tampekis [1 ]
Fani Samara [1 ]
Athanassios Sfougaris [2 ]
Olga Christopoulou [1 ]
机构
[1] Department of Planning and Regional Development,University of Thessaly
[2] Department of Agriculture Crop Production and Rural Environment, University of Thessaly
关键词
Decision support systems; Fire behavior simulation; Forest fires; Geographic information system; Mathematical algorithms; Risk management;
D O I
暂无
中图分类号
S762 [林火];
学科分类号
0838 ;
摘要
Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natural and cultural environments, economies, and the life quality of local and regional populations. Thus, the selection of strategies to manage forest fires, while considering both functional and economic efficiency, is of primary importance. The use of decision support systems(DSSs) by managers of forest fires has rapidly increased. This has strengthened capacity to prevent and suppress forest fires while protecting human lives and property. DSSs are a tool that can benefit incident management and decision making and policy, especially for emergencies such as natural disasters. In this study we reviewed state-of-the-art DSSs that use: database management systems and mathematical/economic algorithms for spatial optimization of firefighting forces; forest fire simulators and satellite technology for immediate detection and prediction of evolution of forest fires; GIS platforms that incorporate several tools to manipulate, process and analyze geographic data and develop strategic and operational plans.
引用
收藏
页码:1107 / 1117
页数:11
相关论文
共 50 条
  • [21] Critical Velocity and Backlayering Conditions in Rail Tunnel Fires: State-of-the-Art Review
    Haddad, Razieh Khaksari
    Maluk, Cristian
    Reda, Eslam
    Harun, Zambri
    JOURNAL OF COMBUSTION, 2019, 2019
  • [22] State-of-the-art tuberculosis prevention
    Reichman, LB
    Mangura, BT
    CHEST, 1996, 109 (02) : 301 - 302
  • [23] Contour Quality Assurance and Decision Support: Implications, Issues, and the State-Of-The-Art
    Altman, Michael
    Kavanaugh, J.
    Purdie, T.
    Brock, K.
    MEDICAL PHYSICS, 2017, 44 (06) : 3293 - 3293
  • [24] State-of-the-art review
    Langhoff-Roos, Jens
    ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA, 2016, 95 (09) : 963 - 964
  • [25] INTERACTIONS IN DECISION SUPPORT SYSTEMS - DIVISION OF LABOR IN DSSS
    PAPRIKA, Z
    KISS, I
    ENGINEERING COSTS AND PRODUCTION ECONOMICS, 1985, 8 (04): : 281 - 289
  • [26] STATE-OF-THE-ART REVIEW
    Filipiak, Krzysztof J.
    KARDIOLOGIA POLSKA, 2013, 71 (05)
  • [27] Accident causation, prevention and safety management: a review of the state-of-the-art
    Pillay, Manikam
    6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015, 2015, 3 : 1838 - 1845
  • [28] Head support in wheelchairs (scoping review): state-of-the-art and beyond
    Geers, Anoek M.
    Prinsen, Erik C.
    van der Pijl, Dick J.
    Bergsma, Arjen
    Rietman, Johan S.
    Koopman, Bart F. J. M.
    DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY, 2023, 18 (05) : 564 - 587
  • [29] A state-of-the-art review on uncertainty analysis of rotor systems
    Fu, Chao
    Sinou, Jean-Jacques
    Zhu, Weidong
    Lu, Kuan
    Yang, Yongfeng
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 183
  • [30] Reconfigurability and reconfigurable manufacturing systems - State-of-the-art review
    Setchi, RM
    Lagos, N
    2004 2ND IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS: COLLABORATIVE AUTOMATION - ONE KEY FOR INTELLIGENT INDUSTRIAL ENVIRONMENTS, 2004, : 529 - 535