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用于森林火灾危机管理的多学科决策支持系统。

A multidisciplinary decision support system for forest fire crisis management.

作者信息

Keramitsoglou Iphigenia, Kiranoudis Chris T, Sarimveis Haralambos, Sifakis Nicolaos

机构信息

Remote Sensing and Image Processing Team, Department of Applied Physics, University of Athens, Panepistimioupolis, Athens, GR-157 84, Greece.

出版信息

Environ Manage. 2004 Feb;33(2):212-25. doi: 10.1007/s00267-003-0092-4.

Abstract

A wildland fire is a serious threat for forest ecosystems in Southern Europe affecting severely and irreversibly regions of significant ecological value as well as human communities. To support decision makers during large-scale forest fire incidents, a multidisciplinary system has been developed that provides rational and quantitative information based on the site-specific circumstances and the possible consequences. The system's architecture consists of several distinct supplementary modules of near real-time satellite monitoring and fire forecast using an integrated framework of satellite Remote Sensing, GIS, and RDBMS technologies equipped with interactive communication capabilities. The system may handle multiple fire ignitions and support decisions regarding dispatching of utilities, equipment, and personnel that would appropriately attack the fire front. The operational system was developed for the region of Penteli Mountain in Attika, Greece, one of the mountain areas in the country most hit by fires. Starting from a real fire incident in August 2000, a scenario is presented to illustrate the effectiveness of the proposed approach.

摘要

野火对南欧的森林生态系统构成严重威胁,会对具有重大生态价值的地区以及人类社区造成严重且不可逆转的影响。为了在大规模森林火灾事件中为决策者提供支持,已开发出一个多学科系统,该系统可根据具体情况和可能的后果提供合理且定量的信息。该系统架构由几个不同的补充模块组成,这些模块利用配备交互式通信能力的卫星遥感、地理信息系统(GIS)和关系数据库管理系统(RDBMS)技术的集成框架,进行近实时卫星监测和火灾预测。该系统可以处理多个火灾点,并支持有关调配公用设施、设备和人员以适当攻击火线的决策。该操作系统是为希腊阿提卡的彭泰利山地区开发的,该地区是该国火灾受灾最严重的山区之一。从2000年8月的一次真实火灾事件出发,给出了一个场景来说明所提方法的有效性。

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