[HTML][HTML] Practice makes the model: A critical review of stormwater green infrastructure modelling practice

V Pons, EMH Abdalla, F Tscheikner-Gratl, K Alfredsen… - Water Research, 2023 - Elsevier
Green infrastructures (GIs) have in recent decades emerged as sustainable technologies for
urban stormwater management, and numerous studies have been conducted to develop …

Pipedream: An interactive digital twin model for natural and urban drainage systems

M Bartos, B Kerkez - Environmental Modelling & Software, 2021 - Elsevier
Faced with persistent flooding and water quality challenges, water managers are now
seeking to build digital twins of surface water systems that combine sensor data with online …

A multi-objective decision-making framework for implementing green-grey infrastructures to enhance urban drainage system resilience

H Tansar, HF Duan, O Mark - Journal of Hydrology, 2023 - Elsevier
Green-grey infrastructures implementation for addressing urban flood damages and urban
drainage system'(UDS) resilience (respectively) needs comprehensive evaluation under …

[HTML][HTML] Integrated urban water management with micro storages developed as an IoT-based solution–The smart rain barrel

M Oberascher, C Kinzel, U Kastlunger… - … Modelling & Software, 2021 - Elsevier
Low cost sensors are emerging alongside innovative data transfer technologies, allowing
the integration of smart solutions for the decentralisation of water infrastructure. In this work …

[HTML][HTML] A multi-objective optimization model for synergistic effect analysis of integrated green-gray-blue drainage system in urban inundation control

J Wang, J Liu, C Mei, H Wang, J Lu - Journal of Hydrology, 2022 - Elsevier
The risk of urban inundation has been increasing worldwide. The integrated green-gray-
blue (IGGB) drainage system is considered to have great potential in urban areas, as it has …

Towards coordinated and robust real-time control: a decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent …

Z Zhang, W Tian, Z Liao - Water Research, 2023 - Elsevier
The real-time control (RTC) of urban drainage systems can make full use of the capabilities
of existing infrastructures to mitigate combined sewer overflow (CSO) and urban flooding …

Deep reinforcement Learning Challenges and Opportunities for Urban Water Systems.

A Negm, X Ma, G Aggidis - Water Research, 2024 - Elsevier
The efficient and sustainable supply and transport of water is a key component to any
functioning civilisation making the role of urban water systems (UWS) inherently crucial to …

Flooding and overflow mitigation using deep reinforcement learning based on Koopman operator of urban drainage systems

W Tian, Z Liao, Z Zhang, H Wu… - Water Resources …, 2022 - Wiley Online Library
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 …

Optimising the design and real-time operation of systems of distributed stormwater storages to reduce urban flooding at the catchment scale

R Liang, MA Thyer, HR Maier, GC Dandy… - Journal of Hydrology, 2021 - Elsevier
The impact of urban flooding is increasing due to the effects of increasing urbanisation and
climate change. The use of storages is a relatively well-established approach to reduce …

Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality

BD Bowes, C Wang, MB Ercan, TB Culver… - … : Water Research & …, 2022 - pubs.rsc.org
Real-time control of stormwater systems can reduce flooding and improve water quality.
Current industry real-time control strategies use simple rules based on water quantity …