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Assessment of rainfall-derived inflow and infiltration in sewer systems with machine learning approaches

Rainfall-derived inflow/infiltration (RDII) modelling during heavy rainfall events is essential for sewer flow management. In this study, two machine learning algorithms, random forest (RF) and long short-term memory (LSTM), were developed for sewer flow prediction and RDII estimation based on field...

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Principais autores: Yong Wang, Biao Huang, David Z. Zhu
Format: Artigo
Sprog:Inglês
Udgivet: IWA Publishing 2024-04-01
Serier:Water Science and Technology
Fag:
long short-term memory
machine learning
rainfall-derived inflow and infiltration
random forest
sewer flow prediction
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