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Flood-Hazard Assessment in the Messapios River Catchment (Central Evia Island, Greece) by Integrating GIS-Based Multi-Criteria Decision Analysis and Analytic Hierarchy Process

Author

Listed:
  • Vasileios Mazarakis

    (Department of Geography, Harokopio University, GR-17671 Athens, Greece)

  • Konstantinos Tsanakas

    (Department of Geography, Harokopio University, GR-17671 Athens, Greece)

  • Noam Greenbaum

    (School of Environmental Sciences, University of Haifa, 199 Aba Khoushy Ave., Mount Carmel, Haifa 3498838, Israel)

  • Dimitrios-Vasileios Batzakis

    (Department of Geography, Harokopio University, GR-17671 Athens, Greece)

  • Alessia Sorrentino

    (Department of Science and Technology, Università degli Studi di Napoli Parthenope, Centro Direzionale Is. C4, 80121 Naples, Italy)

  • Ioannis Tsodoulos

    (Department of Geography, Harokopio University, GR-17671 Athens, Greece)

  • Kanella Valkanou

    (Department of Geography, Harokopio University, GR-17671 Athens, Greece)

  • Efthimios Karymbalis

    (Department of Geography, Harokopio University, GR-17671 Athens, Greece)

Abstract

This study presents a comprehensive flood-hazard assessment and mapping of the Messapios River catchment in Evia Island, Greece, utilizing a combination of Multi-Criteria Decision Analysis (MCDA) and Geographic Information Systems (GISs). Flood-prone zones were identified based on five critical factors, which were determined to be the most influential in the watercourse when excessive discharge overwhelms the drainage network’s capacity: slope, elevation, proximity to stream channels, geological formations, and land cover. The Analytic Hierarchy Process (AHP) was applied to assign weights to these factors, while the final flood-hazard map was generated using the Weighted Linear Combination (WLC) method. The analysis revealed that 17.8% of the catchment, approximately 39 km 2 , falls within a very high flood-hazard zone, while 18.02% (38.91 km 2 ) is classified as highly susceptible to flooding. The flood-prone areas are concentrated in the central, southern, and western parts of the study area, particularly at the lower reaches of the catchment, on both sides of the main streams’ channels, and within the gently sloping, low-lying fan delta of the river. The study area has high exposure to flood hazards due to the significant population of approximately 9000 residents living within the flood-prone zones, a fact that contributes to the area’s potential vulnerability. Additionally, critical infrastructure, including five industrial facilities, the Psachna General High School, the local Public Power Corporation substation, about 21 km of the road network, and 21 bridges are located within the zones classified as having high and very high flood-hazard levels. Furthermore, about 35 km 2 of economically vital agricultural areas (such as parts of the Psachna and Triada plains) are situated in highly and very highly prone to floods zones. MCDA proved to be an effective and reliable approach for assessing and mapping flood-hazard distribution in the Messapios River catchment. The results provide valuable insights to assist decision-makers in prioritizing intervention areas and efficiently allocate resources.

Suggested Citation

  • Vasileios Mazarakis & Konstantinos Tsanakas & Noam Greenbaum & Dimitrios-Vasileios Batzakis & Alessia Sorrentino & Ioannis Tsodoulos & Kanella Valkanou & Efthimios Karymbalis, 2025. "Flood-Hazard Assessment in the Messapios River Catchment (Central Evia Island, Greece) by Integrating GIS-Based Multi-Criteria Decision Analysis and Analytic Hierarchy Process," Land, MDPI, vol. 14(3), pages 1-24, March.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:3:p:658-:d:1616495
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    References listed on IDEAS

    as
    1. Konstantinos Tsanakas & Kalliopi Gaki-Papanastassiou & Kleomenis Kalogeropoulos & Christos Chalkias & Petros Katsafados & Efthimios Karymbalis, 2016. "Investigation of flash flood natural causes of Xirolaki Torrent, Northern Greece based on GIS modeling and geomorphological analysis," 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. 84(2), pages 1015-1033, November.
    2. Thomas L. Saaty & Luis G. Vargas, 2006. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, number 978-0-387-33987-0, June.
    3. Hariklia D. Skilodimou & George D. Bathrellos & Dimitrios E. Alexakis, 2021. "Flood Hazard Assessment Mapping in Burned and Urban Areas," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    4. Thomas L. Saaty, 1990. "An Exposition of the AHP in Reply to the Paper "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 259-268, March.
    5. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    6. Francisco Correia & Maria Da graça saraiva & Fernando Da Silva & Isabel Ramos, 1999. "Floodplain Management in Urban Developing Areas. Part I. Urban Growth Scenarios and Land-Use Controls," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 13(1), pages 1-21, February.
    7. Stefanos Stefanidis & Dimitrios Stathis, 2013. "Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP)," 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. 68(2), pages 569-585, September.
    8. Petros Katsafados & Stamatis Kalogirou & Anastasios Papadopoulos & Gerasimos Korres, 2012. "Mapping long-term atmospheric variables over Greece," Journal of Maps, Taylor & Francis Journals, vol. 8(2), pages 181-184.
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