Author:
Efraimidou Eirini,Spiliotis Mike
Abstract
AbstractThis paper introduces an integrated methodology that exploits both GIS and the Decision-making Trial and Evaluation Laboratory (DEMATEL) methods for assessing flood risk in the Kosynthos River basin in northeastern Greece. The study aims to address challenges arising from data limitations and provide decision-makers with effective flood risk management strategies. The integration of DEMATEL is crucial, providing a robust framework that considers interdependencies among factors, particularly in regions where conventional numerical modeling faces difficulties. DEMATEL is preferred over other methods due to its proficiency in handling qualitative data and its ability to account for interactions among the studied factors. The proposed method is based on two developed causality diagrams. The first diagram is crucial for assessing flood hazard in the absence of data. The second causality diagram offers a multidimensional analysis, considering interactions among the criteria. Notably, the causality diagram referring to flood vulnerability can adapt to local (or national) conditions, considering the ill-defined nature of vulnerability. Given that the proposed methodology identifies highly hazardous and vulnerable areas, the study not only provides essential insights but also supports decision-makers in formulating effective approaches to mitigate flood impacts on communities and infrastructure. Validation includes sensitivity analysis and comparison with historical flood data. Effective weights derived from sensitivity analysis enhance the precision of the Flood Hazard Index (FHI) and Flood Vulnerability Index (FVI).
Funder
Democritus University of Thrace
Publisher
Springer Science and Business Media LLC
Reference87 articles.
1. Abdelkarim A, Al-Alola SS, Alogayell HM, Mohamed SA, Alkadi II, Ismail IY (2020) Integration of GIS-based multicriteria decision analysis and analytic hierarchy process to assess flood hazard on the Al-Shamal Train Pathway in Al-Qurayyat Region, Kingdom of Saudi Arabia. Water 12(6):1702. https://doi.org/10.3390/w12061702
2. Ajin R, Krishnamurthy R, Jayaprakash M, Vinod P (2013) Flood hazard assessment of Vamanapuram River basin, Kerala, India: an approach using remote sensing & GIS techniques. Adv Appl Sci Res 4(3):263–274. https://www.primescholars.com/articles/flood-hazard-assessment-of-vamanapuram-river-basin-kerala-indiaan-approach-using-remote-sensing--gis-techniques.pdf. Accessed 14 Jan 2024
3. Al-Aizari AR, Al-Masnay YA, Aydda A, Zhang J, Ullah K, Islam ARMT, Habib T, Kaku DU, Nizeyimana JC, Al-Shaibah B (2022) Assessment analysis of flood susceptibility in tropical desert area: a case study of Yemen. Remote Sens 14(16):4050. https://doi.org/10.3390/rs14164050
4. Ali SA, Khatun R, Ahmad A, Ahmad SN (2019) Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India. Model Earth Syst Environ 5(3):1083–1102. https://doi.org/10.1007/s40808-019-00593-z
5. Asare-Kyei D, Forkuor G, Venus V (2015) Modeling flood hazard zones at the sub-district level with the rational model integrated with GIS and remote sensing approaches. Water 7(7):3531–3564. https://doi.org/10.3390/w7073531
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