[HTML][HTML] Moving to a future of smart stormwater management: A review and framework for terminology, research, and future perspectives

JL Webber, T Fletcher, R Farmani, D Butler… - Water Research, 2022 - Elsevier
Stormwater hazards are a significant threat across the globe. These are continuing to
increase in line with urbanisation and climate change, leading to a recognition that the …

Modeling and real-time control of urban drainage systems: A review

L García, J Barreiro-Gomez, E Escobar, D Téllez… - Advances in Water …, 2015 - Elsevier
Urban drainage systems (UDS) may be considered large-scale systems given their large
number of associated states and decision actions, making challenging their real-time control …

[图书][B] Urban drainage

D Butler, CJ Digman, C Makropoulos, JW Davies - 2018 - taylorfrancis.com
This new edition of a well-established textbook covers the environmental and engineering
aspects of the management of rainwater and wastewater in areas of human development …

Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management

NSV Lund, AKV Falk, M Borup, H Madsen… - Critical reviews in …, 2018 - Taylor & Francis
Model predictive control (MPC) can be used to manage combined urban drainage systems
more efficiently for protection of human health and the environment, but examples of …

Combined sewer overflows: A critical review on best practice and innovative solutions to mitigate impacts on environment and human health

A Botturi, EG Ozbayram, K Tondera… - Critical Reviews in …, 2021 - Taylor & Francis
Combined sewer overflows (CSOs) are of major environmental concern for impacted surface
waterbodies. In the last decades, major storm events have become increasingly regular in …

Real time control of water distribution networks: A state-of-the-art review

E Creaco, A Campisano, N Fontana, G Marini… - Water research, 2019 - Elsevier
This paper presents a review of the current state of the art of real time control (RTC) of water
distribution networks (WDNs). After proving the basic concept and terms of RTC and …

Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning

K Chen, H Wang, B Valverde-Pérez, S Zhai, L Vezzaro… - Chemosphere, 2021 - Elsevier
Wastewater treatment plants (WWTPs) are designed to eliminate pollutants and alleviate
environmental pollution resulting from human activities. However, the construction and …

When the fourth water and digital revolution encountered COVID-19

M Poch, M Garrido-Baserba, L Corominas… - Science of the Total …, 2020 - Elsevier
The ongoing COVID-19 pandemic is, undeniably, a substantial shock to our civilization
which has revealed the value of public services that relate to public health. Ensuring a safe …

A random forest model for inflow prediction at wastewater treatment plants

P Zhou, Z Li, S Snowling, BW Baetz, D Na… - … Research and Risk …, 2019 - Springer
Influent flow of wastewater treatment plants (WWTPs) is a crucial variable for plant operation
and management. In this study, a random forest (RF) model was applied for daily …

Application of unsupervised learning and process simulation for energy optimization of a WWTP under various weather conditions

S Borzooei, GHB Miranda, S Abolfathi… - Water Science and …, 2020 - iwaponline.com
This paper outlines a hybrid modeling approach to facilitate weather-based operation and
energy optimization for the largest Italian wastewater treatment plant (WWTP). Two …