Assessment of rainfall-derived inflow and infiltration in sewer systems with machine learning approaches
Yong Wang,
Biao Huang,
David Z. Zhu
Abstract: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 monitoring data. The study implemented feature engineering for extracting physically significant factors in sewer flow modelling and investigated the importance of the relevant factors. The results from two case st… Show more
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