An integration of geospatial and fuzzy-logic techniques for flood-hazard mapping
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12040-024-02288-1.pdf
Reference22 articles.
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3. Altunkaynak A and Bizimana H 2020 Prediction of flood hazard map based on hybrid fuzzy geographic information system and its application for Ayamama watershed; Int. J. Fuzzy Comput. Model. 3(1) 16–32.
4. Aydin M C and Sevgi Birincioğlu E 2022 Flood risk analysis using GIS-based analytical hierarchy process: A case study of Bitlis Province; Appl. Water Sci. 12(6) 122.
5. Bandyopadhyay N, Bhuiyan C and Saha A K 2016 Heat waves, temperature extremes and their impacts on monsoon rainfall and meteorological drought in Gujarat, India; Nat. Hazards 82(1) 367–388.
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1. Comparison of soft-computing techniques: Data-driven models for flood forecasting;AIMS Environmental Science;2024
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