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Territorial Resilience Through Visibility Analysis for Immediate Detection of Wildfires Integrating Fire Susceptibility,Geographical Features,and Optimization Methods

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International Journal of Disaster Risk Science 2022年第4期13卷 621-635页

作者： Stavros Sakellariou George Sfoungaris olga christopoulou Department of Agriculture Crop Production and Rural Environment University of Thessaly38446 VólosGreece Department of Planning and Regional Development University of Thessaly38334 VólosGreece Computer Science Department University of Crete70013 HeraklionCreteGreece

Climate change effects tend to reinforce the frequency and severity of wildfires worldwide,and early detection of wildfire events is considered of crucial *** primary aim of this study was the spatial optimization of fire resources(that is,watchtowers)considering the interplay of geographical features(that is,simulated burn probability to delimit fire vulnerability;topography effects;and accessibility to candidate watchtower locations)and geo-optimization techniques(exact programming methods)to find both an effective and financially feasible solution in terms of visibility coverage in Chalkidiki Prefecture of northern *** integration of all geographical features through the Analytical Hierarchy Process indicated the most appropriate territory for the installment of *** analysis guaranteed the independence and proximity of location options(applying spatial systematic sampling to avoid first order redundancy)across the *** conjunction of the above processes yielded 654 candidate watchtower positions in 151,890 ha of *** algorithm was designed to maximize the joint visible area and simultaneously minimize the number of candidate locations and overlapping effects(avoiding second order redundancy).The results indicate four differentiated location options in the study area:(1)75locations can cover 90%of the forests(maximum visible area);(2)47 locations can cover 85%of the forests;(3)31locations can cover 80.2%of the forests;and(4)16 locations can cover 70.6%of the *** last option is an e fficient solution because it covers about 71%of the forests with just half the number of watchtowers that would be required for the third option with only about 10%additional forest ***,the final choice of any location scheme is subject to agency priorities and their respective financial flexibility.

关键词： Burn probability Greece Spatial optimization Topography effects Viewshed coverage Watchtowers Wildfire detection

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Spatial Resilience to Wildfires through the Optimal Deployment of Firefighting Resources:Impact of Topography on Initial Attack Effectiveness

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International Journal of Disaster Risk Science 2023年第1期14卷 98-112页

作者： Stavros Sakellariou Athanassios Sfougaris olga christopoulou Stergios Tampekis Department of Agriculture Crop Production and Rural Environment University of Thessaly38446VolosGreece Department of Planning and Regional Development University of Thessaly38334VolosGreece Department of Forestry and Natural Environment Management Agricultural University of Athens36100KarpenisiGreece

Strongly affected by the escalating impacts of climate change,wildfires have been increasing in frequency and severity around the *** primary aim of this study was the development of specific territorial measures—estimating the optimal locations of firefighting resources—to enhance the spatial resilience to wildfires in the fire-prone region of Chalkidiki Prefecture in northern *** measures focus on the resistance to wildfires and the adaptation of strategies to wildfire management,based on the estimation of burn probability,including the effect of anthropogenic factors on fire *** proposed location schemes of firefighting resources such as vehicles consider both the susceptibility to fire and the influence of the topography on travel simulation,highlighting the impact of road slope on the initial firefighting *** spatial scheme,as well as the number of required firefighting forces is totally differentiated due to slope *** we ignore the topography effect,a minimum number of fire vehicles is required to achieve the maximization of coverage(99.2%of the entire study area)giving priority to the most susceptible regions(that is,employing 18 of 24 available fire vehicles).But when we adopt more realistic conditions that integrate the slope effect with travel time,the model finds an optimal solution that requires more resources(that is,employing all 24 available fire vehicles)to maximize the coverage of the most vulnerable regions within 27 *** process achieves 80%of total *** proposed methodology is characterized by a high degree of flexibility,and provides optimized solutions to decision makers,while considering key factors that greatly affect the effectiveness of the initial firefighting attack.

关键词： Greece Firefighting resources Simulation and spatial modeling Spatial optimization Spatial resilience Topography impact Wildfires

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

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Journal of Forestry Research 2017年第6期28卷 1107-1117页

作者： Stavros Sakellariou Stergios Tampekis Fani Samara Athanassios Sfougaris olga christopoulou Department of Planning and Regional Development University of Thessaly 38334 Volos Greece Department of Agriculture Crop Production and Rural Environment University of Thessaly 38446 Volos Greece

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.

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

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Analyzing Methods of Using Sustainable Development Indicators

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Journal of Civil Engineering and Architecture 2013年第11期7卷 1458-1463页

作者： Fani Samara olga christopoulou Athanasios Sfougaris Department of Planning and Regional Development University of Thessaly

Sustainable development indicators, aim to measure sustainable development over longer periods of time. The sustainable development indicators are grouped into 10 subject categories： socioeconomic development, sustainable consumption and production, social inclusion, demographic changes, public health, climate change and energy, sustainable transport, natural resources, global partnership and finally good governance. In this paper, the authors examined a number of researches and compared the methods they used in order to determine the advantages and disadvantages of each method. The methods used a large number of different indicators. The comparison of the indicators could be made through mathematical models and also through theoretical approach.

关键词： Sustainable development indicators methodology urban planning.

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