Minimizing Combined Sewer Overflows with Online Model-Predictive Reinforcement Learning

This paper addresses the challenges posed by urban stormwater runoff in light of increased urbanization and climate change, which strain traditional stormwater infrastructure. It focuses on mitigating Combined Sewer Overflows (CSOs) by maximizing urban runoff storage in stormwater tunnels during Wastewater Treatment Plant (WWTP) capacity overloads.

Publication Details

Journal
VBN Forskningsportal (Aalborg Universitet)
Published
2025-03-01
Primary Topic
Urban Stormwater Management Solutions
Type
article
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article

Minimizing Combined Sewer Overflows with Online Model-Predictive Reinforcement Learning

VBN Forskningsportal (Aalborg Universitet)
Urban Stormwater Management Solutions
article

Minimizing Combined Sewer Overflows with Online Model-Predictive Reinforcement Learning

article en

Abstract

This paper addresses the challenges posed by urban stormwater runoff in light of increased urbanization and climate change, which strain traditional stormwater infrastructure. It focuses on mitigating Combined Sewer Overflows (CSOs) by maximizing urban runoff storage in stormwater tunnels during Wastewater Treatment Plant (WWTP) capacity overloads.

VBN Forskningsportal (Aalborg Universitet)
Openalex Percentile: Top 46%
Urban Stormwater Management Solutions
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Minimizing Combined Sewer Overflows with Online Model-Predictive Reinforcement Learning · VBN Forskningsportal (Aalborg Universitet) (2025) | TGRS Research Map | TGRS