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

Sakellariou, Stavros; Sfoungaris, George; Christopoulou, Olga

doi:10.1007/s13753-022-00433-2

Cited by 6 publications

(1 citation statement)

References 37 publications

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“…Besides, to decide IM, the hazard analysis includes the de nition of suitable Wild re Intensity input measure records for answer history analyses (Sakellariou et al 2020(Sakellariou et al , 2022a(Sakellariou et al , 2022b. Recent research on hazard analysis bene ts from earth science and remote imaging technology.…”

Section: Hazard Analysis and Social-ecological Characterizationmentioning

confidence: 99%

A holistic social-ecological systems resilience approach based on performance-based wildfire engineering

Tampekis

Palaiologou

Arabatzis

et al. 2022

Preprint

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The recent worldwide increase of large, uncontrolled, and catastrophic wildfires events, caused important socio-economic issues and with considerable effects to the natural environment. Wildfires’ impacts on social-ecological systems derive from the complicated and multidimensional interconnected relationships between society and ecosystems. To enforce environmental and community resilience against wildfires, it is critical to holistically comprehend the local social-ecological systems. In this paper we present a holistic social-ecological systems resilience approach, built on performance-based wildfire engineering, that is envisioned to be a steppingstone towards the social-ecological resilience after a wildfire. To attain this objective, the performance assessment and design series of actions are disaggregated into explicit components of a rigorous mathematical framework. They are linked to a causal inference chain, providing an integrated picture, and enabling decision analysis to identify the optimal management strategies given a number of constraints. The proposed approach is proceeding from the total probability theorem and divides the risk assessment into single (underlying) parts, particularly: (1) hazard (wildfire) analysis, (2) damage analysis, (3) loss analysis, and social-ecological (4) impacts characterization, (5) interaction analysis, and (6) impacts analysis. A consistent probabilistic framework is proposed that explicitly considers and quantifies the inherent uncertainties for reliable wildfires performance resilient assessment. The suggested framework can be implemented by emergency agencies directly for performance assessment of society and ecosystems recovery after a wildfire, making more effective the emergency management and policy making.

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Section: Hazard Analysis and Social-ecological Characterizationmentioning

confidence: 99%

A holistic social-ecological systems resilience approach based on performance-based wildfire engineering

Tampekis

Palaiologou

Arabatzis

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

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

Sakellariou

Sfougaris

Christopoulou

et al. 2023

Int J Disaster Risk Sci

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Strongly affected by the escalating impacts of climate change, wildfires have been increasing in frequency and severity around the world. 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 Greece. These 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 ignition. The 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 attack. The spatial scheme, as well as the number of required firefighting forces is totally differentiated due to slope impact. When 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 min. This process achieves 80% of total coverage. The 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.

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Building wildland–urban interface zone resilience through performance-based wildfire engineering. A holistic theoretical framework

Tampekis¹,

Sakellariou²,

Palaiologou³

et al. 2023

Euro-Mediterr J Environ Integr

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In recent years, a worldwide expansion in the frequency of large, uncontrolled, and catastrophic wildfire events has occurred, creating drastic social, economic, and environmental damage, especially in wildland–urban interface (WUI) zones. This damage includes losses of life, infrastructure, and ecosystem services. The impacts of wildfires at the WUI derive from the complicated and multidimensional interconnected relationships present in the Anthropocene. To enforce resilience of the environment and human communities against wildfires, it is critical to comprehend the local social-ecological systems holistically. In this paper, we present a theoretical framework approach, built on performance-based wildfire engineering, that is envisioned to be a stepping stone towards WUI resilience. To attain this objective, performance benchmarking and design is disaggregated into explicit components of a rigorous mathematical framework. They are linked to a causal inference chain, providing an integrated picture and enabling decision analysis to identify the optimal management strategies based on quantitative parameters. The proposed framework is developed from the total probability theorem and divides the risk assessment into single parts, in particular (1) hazard (wildfire) analysis, (2) social-ecological impact characterization, (3) social-ecological interaction analysis, (4) social-ecological impact analysis, (5) damage analysis, and (6) loss analysis. Therefore, the proposed framework can be applied by emergency agencies directly to assess the performance of society and ecosystem recovery after a wildfire, making emergency management and resilience policy-making more effective.

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

Cited by 6 publications

References 37 publications

A holistic social-ecological systems resilience approach based on performance-based wildfire engineering

A holistic social-ecological systems resilience approach based on performance-based wildfire engineering

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

Building wildland–urban interface zone resilience through performance-based wildfire engineering. A holistic theoretical framework

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