[HTML][HTML] The role of deep learning in urban water management: A critical review

G Fu, Y **, S Sun, Z Yuan, D Butler - Water Research, 2022 - Elsevier
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

Deep learning methods for flood map**: a review of existing applications and future research directions

R Bentivoglio, E Isufi, SN Jonkman… - Hydrology and Earth …, 2022 - hess.copernicus.org
Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …

[HTML][HTML] 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 …

[HTML][HTML] Realising smarter stormwater management: A review of the barriers and a roadmap for real world application

C Sweetapple, J Webber, A Hastings… - Water Research, 2023 - Elsevier
Effective management of stormwater systems is necessary for protection of both the built and
natural environments. However, stormwater management is facing multiple, growing …

[HTML][HTML] Digital transformation of peatland eco-innovations ('Paludiculture'): Enabling a paradigm shift towards the real-time sustainable production of 'green-friendly' …

NJ Rowan, N Murray, Y Qiao, E O'neill, E Clifford… - Science of the Total …, 2022 - Elsevier
The world is heading in the wrong direction on carbon emissions where we are not on track
to limit global warming to 1.5° C; Ireland is among the countries where overall emissions …

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 …

[HTML][HTML] Coastal urban flood risk management: Challenges and opportunities− A systematic review

F Aziz, X Wang, MQ Mahmood, M Awais, B Trenouth - Journal of Hydrology, 2024 - Elsevier
Generational mechanisms and spatio-temporal evolution patterns of Coastal urban flood risk
involve complex interactions between climate change, sea level rise and human-induced …

Reinforcement learning in construction engineering and management: A review

V Asghari, Y Wang, AJ Biglari, SC Hsu… - Journal of Construction …, 2022 - ascelibrary.org
The construction engineering and management (CEM) domain frequently meets complex
tasks due to the unavoidable complicated operation environments and the involvement of …

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 …

Evaluating real-time control of stormwater drainage network and green stormwater infrastructure for enhancing flooding resilience under future rainfall projections

J Li, SJ Burian - Resources, Conservation and Recycling, 2023 - Elsevier
Traditional stormwater control measures are designed to handle system loadings induced
by fixed-size storm events. However, climate change is predicted to alter the frequency and …