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

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  • Garyfallos Arabatzis

    (Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, 193 Pantazidou St., 68200 Orestiada, Greece)

  • Georgios Kolkos

    (Department of Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Anastasia Stergiadou

    (Department of Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Apostolos Kantartzis

    (Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, 193 Pantazidou St., 68200 Orestiada, Greece)

  • Stergios Tampekis

    (Department of Forestry and Natural Environment Management, Agricultural University of Athens, 3 Dimokratias St., 36100 Karpenisi, Greece)

Abstract

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.

Suggested Citation

  • Garyfallos Arabatzis & Georgios Kolkos & Anastasia Stergiadou & Apostolos Kantartzis & Stergios Tampekis, 2024. "Optimal Allocation of Water Reservoirs for Sustainable Wildfire Prevention Planning via AHP-TOPSIS and Forest Road Network Analysis," Sustainability, MDPI, vol. 16(2), pages 1-27, January.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:936-:d:1324103
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    References listed on IDEAS

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    1. Nadjla Bentekhici & Sid-Ahmed Bellal & Ahmed Zegrar, 2020. "Contribution of remote sensing and GIS to mapping the fire risk of Mediterranean forest case of the forest massif of Tlemcen (North-West Algeria)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 811-831, October.
    2. K. Rezaei-Moghaddam & E. Karami, 2008. "A multiple criteria evaluation of sustainable agricultural development models using AHP," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 10(4), pages 407-426, August.
    3. Češljar, Goran & Stevović, Svetlana, 2015. "Small reservoirs and their sustainable role in fires protection of forest resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 496-503.
    4. H. Pourghasemi & H. Moradi & S. Fatemi Aghda, 2013. "Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 749-779, October.
    5. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    6. Yeeun Shin & Suyeon Kim & Sang-Woo Lee & Kyungjin An, 2020. "Identifying the Planning Priorities for Green Infrastructure within Urban Environments Using Analytic Hierarchy Process," Sustainability, MDPI, vol. 12(13), pages 1-13, July.
    7. Hasan Durucasu & Ahmet Aytekin & Bilal Saraç & Erhan Orakçı, 2017. "Current Application Fields of ELECTRE and PROMETHEE: A Literature Review," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 5(2), pages 229-270, November.
    8. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
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