GIS and AHP-based flood susceptibility mapping: a case study of Bangladesh
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40899-024-01150-y.pdf
Reference85 articles.
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2. Adnan MSG, Talchabhadel R, Nakagawa H, Hall JW (2020) The potential of Tidal River Management for flood alleviation in South Western Bangladesh. Sci Total Environ 731:138747. https://doi.org/10.1016/j.scitotenv.2020.138747
3. Aghaloo K, Ali T, Chiu Y-R, Sharifi A (2023) Optimal site selection for the solar-wind hybrid renewable energy systems in Bangladesh using an integrated GIS-based BWM-fuzzy logic method. Energy Convers Manage 283:116899. https://doi.org/10.1016/j.enconman.2023.116899
4. Akbari A, Samah AA, Daryabor F (2016) Raster-based derivation of a flood runoff susceptibility map using the revised runoff curve number (CN) for the Kuantan watershed, Malaysia. Environ Earth Sci 75(20):1379. https://doi.org/10.1007/s12665-016-6186-0
5. Akter T, Quevauviller P, Eisenreich SJ, Vaes G (2018) Impacts of climate and land use changes on flood risk management for the Schijn River, Belgium. Environ Sci Policy 89:163–175. https://doi.org/10.1016/j.envsci.2018.07.002
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