Flood susceptibility mapping with ensemble machine learning: a case of Eastern Mediterranean basin, Türkiye-Reference-Cited by-同舟云学术

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Flood susceptibility mapping with ensemble machine learning: a case of Eastern Mediterranean basin, Türkiye

Published:2023-07-01 Issue:11 Volume:37 Page:4273-4290
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Özdemir Hüseyin,Baduna Koçyiğit Müsteyde,Akay Diyar

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02507-z.pdf

Reference59 articles.

1. Abdollahi S, Pourghasemi HR, Ghanbarian GA, Safaeian R (2019) Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions. Bullet Eng Geol Environ. https://doi.org/10.1007/s10064-018-1403-6

2. Ahmadlou M, Karimi M, Alizadeh S, Shirzadic A, Parvinnejhadd D, Shahabie H, Panahi M (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. https://doi.org/10.1080/10106049.2018.1474276

3. Ahmed N, Hoque MAA, Arabameri A, Pal SC, Chakrabortty R, Jui J (2021) Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network. Geocarto Int. https://doi.org/10.1080/10106049.2021.2005698

4. Ali SA, Parvin F, Pham QB, Vojtek M, Vojteková J, Costache R, Linh NTT, Nguyen HQ, Ahmad A, Ghorbani MA (2020) GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: a case of Topľa basin, Slovakia. Ecol Indicators. https://doi.org/10.1016/j.ecolind.2020.106620

5. Andaryani S, Nourani V, Haghighi AT, Keesstra S (2021) Integration of hard and soft supervised machine learning for flood susceptibility mapping. J Environ Manag 291:112731. https://doi.org/10.1016/j.jenvman.2021.112731

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