Tool for fast assessment of stormwater flood volumes for urban catchment: A machine learning approach

Specific flood volume is an important criterion for evaluating the performance of sewer networks. Currently, mechanistic models - MCMs (e.g., SWMM) are usually used for its prediction, but they require the collection of detailed information about the characteristics of the catchment and sewer networ...

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Veröffentlicht in:	Journal of environmental management 2024-03, Vol.355, p.120214-120214, Article 120214
Hauptverfasser:	Szeląg, Bartosz, Majerek, Dariusz, Eusebi, Anna Laura, Kiczko, Adam, de Paola, Francesco, McGarity, Arthur, Wałek, Grzegorz, Fatone, Francesco
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cities City Planning Floods Global sensitivity analysis Machine learning Models, Theoretical Neural Networks, Computer Rain Specific flood volume SWMM Water Movements
Online-Zugang:	Volltext
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