Mathematical Modeling for Extinguishing Forest Fires Using Water Capsules with a Thermoactive Shell

Kataeva, L. Yu.; Ilicheva, M. N.; Loshchilov, A. A.

doi:10.1134/s0021894422070069

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…For the suppression of wildfires during their nascent stages, firefighters must ensure unfettered access to water reservoirs within forested areas [23][24][25]. Paramount to this endeavor are considerations of terrain accessibility and the presence of well-maintained roads leading to water sources [26].…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Water Reservoirs for Sustainable Wildfire Prevention Planning via AHP-TOPSIS and Forest Road Network Analysis

Arabatzis,

Kolkos,

Stergiadou

et al. 2024

Sustainability

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The sustainable management of forest ecosystems is directly linked to the management of forest fires. The increasing occurrence of wildfires has prompted the need for the establishment of infrastructure aimed at addressing them. The placement of anti-fire water reservoirs can address the lack of water intake points. This study introduces a decision support system (DSS) tailored for the optimal allocation of anti-fire water reservoirs in Mediterranean forest ecosystems, ensuring a reliable water supply for firefighting operations. The methodology integrates the analytical hierarchy process (AHP) and the technique of order of preference by similarity to ideal solutions (TOPSIS) methods, facilitating precise location determination through comprehensive criteria analysis. Additionally, the analysis of the forest road network is incorporated to optimize the placement of water reservoirs. In the forest complex of Taxiarchis, Chalkidiki, Greece, 100 potential reservoir sites were identified and prioritized based on factors such as fire risk, proximity to existing water sources, and coverage area using optimal pathways. The study’s findings demonstrate that by establishing 34 water reservoirs, firefighting forces can access a replenishment point within a 5-min travel time. The conclusions underscore the efficacy of this methodology as a valuable decision-making tool for sustainable wildfire prevention planning. This approach contributes to allocating resources judiciously, effectively mitigating the wildfire risk in Mediterranean forest ecosystems, and therefore promoting sustainability.

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Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Water Reservoirs for Sustainable Wildfire Prevention Planning via AHP-TOPSIS and Forest Road Network Analysis

Arabatzis,

Kolkos,

Stergiadou

et al. 2024

Sustainability

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“…In recent years, unmanned robotics, especially drones (also known as unmanned aerial vehicles, UAVs), have been increasingly used in firefighting operations to improve the response speed and economic effectiveness while reducing the dangers to human firefighters [3][4][5][6]. In wild areas, the typical usage of firefighting drones is to deliver water capsules (bags) to fire spots and then release water (or other water-based liquids) in dispersed form to suppress fire in the covered area [7,8]. Depending on the types of drones, the amount of water that a drone carries at a time typically varies from 10 to 1000 kg.…”

Section: Introductionmentioning

confidence: 99%

“…The aircraft releases a water capsule at an appropriate position. When moving in a medium above the critical temperature, the capsule shell accumulates an integral amount of damage; when the damage reaches the value of the thermal stability coefficient of the shell, the shell breaks and releases water in dispersed form [8]. Explosive blasts in water makes shock waves, so shock waves propagate in water first and then beyond water to continue propagation in the air.…”

Section: Introductionmentioning

confidence: 99%

Firefighting Drone Configuration and Scheduling for Wildfire Based on Loss Estimation and Minimization

Wu,

Xie,

Zheng

2024

Drones

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Drones have been increasingly used in firefighting to improve the response speed and reduce the dangers to human firefighters. However, few studies simultaneously consider fire spread prediction, drone scheduling, and the configuration of supporting staff and supplies. This paper presents a mathematical model that estimates wildfire spread and economic losses simultaneously. The model can also help us to determine the minimum number of firefighting drones in preparation for wildfire in a given wild area. Next, given a limited number of firefighting drones, we propose a method for scheduling the drones in response to wildfire occurrence to minimize the expected loss using metaheuristic optimization. We demonstrate the performance advantages of water wave optimization over a set of other metaheuristic optimization algorithms on 72 test instances simulated on selected suburb areas of Hangzhou, China. Based on the optimization results, we can pre-define a comprehensive plan of scheduling firefighting drone and configuring support staff in response to a set of scenarios of wildfire occurrences, significantly improving the emergency response efficiency and reducing the potential losses.

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Mathematical Modeling for Extinguishing Forest Fires Using Water Capsules with a Thermoactive Shell

Cited by 2 publications

References 17 publications

Optimal Allocation of Water Reservoirs for Sustainable Wildfire Prevention Planning via AHP-TOPSIS and Forest Road Network Analysis

Optimal Allocation of Water Reservoirs for Sustainable Wildfire Prevention Planning via AHP-TOPSIS and Forest Road Network Analysis

Firefighting Drone Configuration and Scheduling for Wildfire Based on Loss Estimation and Minimization

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