Model predictive control based on artificial intelligence and EPA-SWMM model to reduce CSOs impacts in sewer systems

Model predictive control based on artificial intelligence and EPA-SWMM model to reduce CSOs impacts in sewer systems

Urbanization and an increase in precipitation intensities due to climate change, in addition to limited urban drainage systems (UDS) capacity, are the main causes of combined sewer overflows (CSOs) that cause serious water pollution problems in many cities around the world. Model predictive control...

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Bibliographic Details
Main Authors: Khalid El Ghazouli, Jamal El Khatabi, Aziz Soulhi, Isam Shahrour
Format: Article
Language:English
Published: IWA Publishing 2022-01-01
Series:Water Science and Technology
Subjects:
artificial intelligence
combined sewer overflows
genetic algorithm
model predictive control
real-time control
sewer network
Online Access:http://wst.iwaponline.com/content/85/1/398

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