[HTML][HTML] A critical review of real-time modelling of flood forecasting in urban drainage systems
There has been a strong tendency in recent decades to develop real-time urban flood
prediction models for early warning to the public due to a large number of worldwide urban …
prediction models for early warning to the public due to a large number of worldwide urban …
[HTML][HTML] Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management
Smart cities are an innovate concept for managing urban cities to enhance sustainability and
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
Smart management of combined sewer overflows: From an ancient technology to artificial intelligence
Sewer systems are an essential part of sanitation infrastructure for protecting human and
ecosystem health. Initially, they were used to solely convey stormwater, but over time …
ecosystem health. Initially, they were used to solely convey stormwater, but over time …
[HTML][HTML] Socio-technical challenges towards data-driven and integrated urban water management: A socio-technical network approach
L Manny - Sustainable Cities and Society, 2023 - Elsevier
Data-driven and integrated urban water management have been proposed to reduce
surface water pollution in light of climate change and urbanization impacts. Besides …
surface water pollution in light of climate change and urbanization impacts. Besides …
Real-time model predictive and rule-based control with green infrastructures to reduce combined sewer overflows
The impact of integrating large-scale distribution of green infrastructures (GIs) with different
real-time control strategies on combined sewer overflows (CSOs) is assessed for the …
real-time control strategies on combined sewer overflows (CSOs) is assessed for the …
Flooding and overflow mitigation using deep reinforcement learning based on Koopman operator of urban drainage systems
In recent studies, deep reinforcement learning (RL) methods have been used for the real‐
time control of urban drainage systems (UDSs). However, the training process of an RL …
time control of urban drainage systems (UDSs). However, the training process of an RL …
Towards the long term implementation of real time control of combined sewer systems: a review of performance and influencing factors
JA Van Der Werf, Z Kapelan… - Water Science and …, 2022 - iwaponline.com
Abstract Real Time Control (RTC) is widely accepted as a cost-effective way to operate
urban drainage systems (UDS) effectively. However, what factors influence RTC efficacy and …
urban drainage systems (UDS) effectively. However, what factors influence RTC efficacy and …
Combined Sewer Overflow and Flooding Mitigation Through a Reliable Real‐Time Control Based on Multi‐Reinforcement Learning and Model Predictive Control
W Tian, Z Liao, G Zhi, Z Zhang… - Water Resources …, 2022 - Wiley Online Library
Real‐time control (RTC) of urban drainage systems (UDS) has been proved an efficient tool
in combined sewer overflow (CSO) and flooding mitigation. Recently, new RTC approaches …
in combined sewer overflow (CSO) and flooding mitigation. Recently, new RTC approaches …
Enabling wastewater treatment process automation: leveraging innovations in real-time sensing, data analysis, and online controls
The primary mandate of wastewater treatment facilities is the limitation of pollutant
discharges, however both continued tightening of permit limits and unique challenges …
discharges, however both continued tightening of permit limits and unique challenges …
[HTML][HTML] Real-time control of combined sewer systems: Risks associated with uncertainties
Abstract Model Predictive Control (MPC) of combined sewer systems can reduce
environmental degradation caused by uncontrolled overflows. However, practical …
environmental degradation caused by uncontrolled overflows. However, practical …