Impact of Climate Change on Future Flood Susceptibility: an Evaluation Based on Deep Learning Algorithms and GCM Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-021-02944-x.pdf
Reference49 articles.
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3. Allahbakhshian-Farsani P, Vafakhah M, Khosravi-Farsani H, Hertig E (2020) Regional flood frequency analysis through some machine learning models in semi-arid regions. Water Resour Manage 34:2887–2909
4. Bounoua L, Zhang P, Mostovoy G et al (2015) Impact of urbanization on US surface climate. Environ Res Lett 10:084010
5. Bui DT, Hoang ND, Martínez-Álvarez F et al (2020) A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area. Sci Total Environ 701:134413. https://doi.org/10.1016/j.scitotenv.2019.134413
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