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

作     者：Stavros Sakellariou Stergios Tampekis Fani Samara Athanassios Sfougaris Olga Christopoulou 

作者机构：Department of Planning and Regional DevelopmentUniversity of Thessaly 38334 Volos Greece Department of Agriculture Crop Production and Rural Environment University of Thessaly 38446 Volos Greece 

出 版 物：《Journal of Forestry Research》 (林业研究（英文版）)

年 卷 期：2017年第28卷第6期

页      面：1107-1117页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0907[农学-林学] 08[工学] 0829[工学-林业工程] 0838[工学-公安技术] 0901[农学-作物学] 

基　　金：co-financed by the European Union(European Social Fund-ESF)and Greek national funds through the Operational Program‘‘Education and Lifelong Learning’’of the National Strategic Reference Framework(NSRF)-Research Funding Program:Thales.Investing in knowledge society through the European Social Fund 

主　　题：Decision support systems Fire behavior simulation Forest fires Geographic information system Mathematical algorithms Risk management 

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.