Data-Driven Approach for the Rapid Simulation of Urban Flood Prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-020-1304-7.pdf
Reference22 articles.
1. Akinduko AA, Mirkes EM, Gorban AN (2016) SOM: Stochastic initialization versus principal components. Information Sciences 364:213–221
2. Bertsch R, Glenis V, Kilsby C (2017) Urban flood simulation using synthetic storm drain networks. Water 9(12), DOI: https://doi.org/10.3390/w9120925
3. Cea L, Garrido M, Puertas J (2010) Experimental validation of two-dimensional depth-averaged models for forecasting rainfall-runoff from precipitation data in urban areas. Journal of Hydrology 382:88–102
4. Chang FJ, Chang LC, Wang YS (2007) Enforced self-organizing map neural networks for river flood forecasting. Hydrological Process 21(6):741–749
5. Chang FJ, Chen PA, Lu YR, Huang E, Chang KY (2014a) Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control. Journal of Hydrology 517:836–846
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