Modeling flood susceptibility on the onset of the Kerala floods of 2018
Author:
Funder
Natural Resources Data Management System
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12665-023-11412-1.pdf
Reference96 articles.
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2. Ahmadlou M et al (2019) Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA). Geocarto Int 34(11):1252–1272. https://doi.org/10.1080/10106049.2018.1474276
3. Ajjur SB, Mogheir YK (2020) Flood hazard mapping using a multi-criteria decision analysis and GIS (case study Gaza Governorate, Palestine). Arab J Geosci 13(2):44. https://doi.org/10.1007/s12517-019-5024-6
4. Akay H (2021) Flood hazards susceptibility mapping using statistical, fuzzy logic, and MCDM methods. Soft Comput 25(14):9325–9346. https://doi.org/10.1007/s00500-021-05903-1
5. Al-Abadi AM, Shahid S, Al-Ali AK (2016) A GIS-based integration of catastrophe theory and analytical hierarchy process for mapping flood susceptibility: a case study of Teeb area, Southern Iraq. Environ Earth Sci 75(8):687. https://doi.org/10.1007/s12665-016-5523-7
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