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A flood risk decision making approach for Mediterranean tree crops using GIS; climate change effects and flood-tolerant species

Author

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  • Kourgialas, Nektarios N.
  • Karatzas, George P.

Abstract

The aim of this study is to estimate flood risk in the Mediterranean island of Crete in Greece, using Geographic Information Systems (GIS). The island of Crete, covering an area of 8265km2, is one of the most intensively Mediterranean agricultural areas dominated by fruit tree crops. In this study, the factors that are directly related to the creation of a flood are combined in a GIS environment in order to identify the most prone flooding areas. These factors are: (a) the Flow accumulation (F), (b) the Rainfall intensity (R), (c) the Elevation (E), (d) the Geology (G), (e) the Land use (L), and (f) the Slope (S). The initials of these factors gave the name to the proposed method: “FREGLS”. The above factors are presented in the form of grid maps and are used in order to determine the final flood risk map. Subsequently, the flood prone fruit tree areas of Crete can be estimated by applying a methodology based on weighting coefficients. The reliability of the final flood risk map is verified using historical flooded data. Additionally, the impact of global climate change scenarios A2 and B1, on flood risk in Crete is examined. Based on the above, this study highlights the flood prone fruit tree areas in the island of Crete under current and future climate conditions. Also, flood-tolerant fruit trees which appear to be economically important for Greece are recommended, especially for the high flood risk areas of the island. The proposed methodology can be applied as a decision making tool for flood risk mitigation to any river basin where tree crops are cultivated.

Suggested Citation

  • Kourgialas, Nektarios N. & Karatzas, George P., 2016. "A flood risk decision making approach for Mediterranean tree crops using GIS; climate change effects and flood-tolerant species," Environmental Science & Policy, Elsevier, vol. 63(C), pages 132-142.
    • Handle: RePEc:eee:enscpo:v:63:y:2016:i:c:p:132-142
    DOI: 10.1016/j.envsci.2016.05.020
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    Citations

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    Cited by:

    1. Muamer Abuzwidah & Ahmed Elawady & Ayat Gamal Ashour & Abdullah Gokhan Yilmaz & Abdallah Shanableh & Waleed Zeiada, 2024. "Flood Risk Assessment for Sustainable Transportation Planning and Development under Climate Change: A GIS-Based Comparative Analysis of CMIP6 Scenarios," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
    2. Prashant K. Srivastava & Prem C. Pandey & George P. Petropoulos & Nektarios N. Kourgialas & Varsha Pandey & Ujjwal Singh, 2019. "GIS and Remote Sensing Aided Information for Soil Moisture Estimation: A Comparative Study of Interpolation Techniques," Resources, MDPI, vol. 8(2), pages 1-17, April.
    3. Kourgialas, Nektarios N. & Dokou, Zoi, 2021. "Water management and salinity adaptation approaches of Avocado trees: A review for hot-summer Mediterranean climate," Agricultural Water Management, Elsevier, vol. 252(C).
    4. Stefanos Stefanidis & Vasileios Alexandridis & Kaushik Ghosal, 2022. "Assessment of Water-Induced Soil Erosion as a Threat to Natura 2000 Protected Areas in Crete Island, Greece," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    5. Maziar Mohammadi & Hamid Darabi & Fahimeh Mirchooli & Alireza Bakhshaee & Ali Torabi Haghighi, 2021. "Flood risk mapping and crop-water loss modeling using water footprint analysis in agricultural watershed, northern Iran," 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. 105(2), pages 2007-2025, January.

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