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 …

Flood mitigation in coastal urban catchments using real-time stormwater infrastructure control and reinforcement learning

BD Bowes, A Tavakoli, C Wang… - Journal of …, 2021 - iwaponline.com
Flooding in coastal cities is increasing due to climate change and sea-level rise, stressing
the traditional stormwater systems these communities rely on. Automated real-time control …

A data-driven improved fuzzy logic control optimization-simulation tool for reducing flooding volume at downstream urban drainage systems

J Li - Science of the Total Environment, 2020 - Elsevier
The uncertainty of climate change and urbanization imposed additional stress for urban
drainage systems (UDSs) by intensifying rainfall frequency and magnifying peak runoff rate …

[HTML][HTML] A Coupled Human and Natural Systems (CHANS) framework integrated with reinforcement learning for urban flood mitigation

H Qin, Q Liang, H Chen, V De Silva - Journal of Hydrology, 2024 - Elsevier
To address the challenge of escalating urban flood risk and the deficiency in effective flood
emergency management, this study introduces a novel Coupled Human and Natural …

A predictive fuzzy logic and rule-based control approach for practical real-time operation of urban stormwater storage system

L Sun, J Xia, D She, W Ding, J Jiang, B Liu, F Zhao - Water Research, 2024 - Elsevier
Predictive real-time control (RTC) strategies are usually more effective than reactive
strategies for the intelligent management of urban stormwater storage systems. However, it …

Deep reinforcement learning with uncertain data for real-time stormwater system control and flood mitigation

SM Saliba, BD Bowes, S Adams, PA Beling, JL Goodall - Water, 2020 - mdpi.com
Flooding in many areas is becoming more prevalent due to factors such as urbanization and
climate change, requiring modernization of stormwater infrastructure. Retrofitting standard …

Machine learning and simulation-optimization coupling for water distribution network contamination source detection

L Grbčić, L Kranjčević, S Družeta - Sensors, 2021 - mdpi.com
This paper presents and explores a novel methodology for solving the problem of a water
distribution network contamination event, which includes determining the exact source of …

On the use of a real-time control approach for urban stormwater management

M Maiolo, SA Palermo, AC Brusco, B Pirouz, M Turco… - Water, 2020 - mdpi.com
The real-time control (RTC) system is a valid and cost-effective solution for urban stormwater
management. This paper aims to evaluate the beneficial effect on urban flooding risk …

Happy to control: A heuristic and predictive policy to control large urban drainage systems

JA Van der Werf, Z Kapelan… - Water Resources …, 2023 - Wiley Online Library
Abstract Model Predictive Control (MPC) of Urban Drainage Systems (UDS) has been
established as a cost‐effective method to reduce pollution. However, the operation of large …

Optimal positioning of RTC actuators and SuDS for sewer overflow mitigation in urban drainage systems

M Eulogi, S Ostojin, P Skipworth, S Kroll… - Water, 2022 - mdpi.com
Real-time control (RTC) and sustainable drainage systems (SuDS) can be implemented
simultaneously to enhance the performance of existing urban drainage systems (UDS) …