[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 …

It is not easy being green: Recognizing unintended consequences of green stormwater infrastructure

VJ Taguchi, PT Weiss, JS Gulliver, MR Klein… - Water, 2020 - mdpi.com
Green infrastructure designed to address urban drainage and water quality issues is often
deployed without full knowledge of potential unintended social, ecological, and human …

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 …

Technology-enabled financing of sustainable infrastructure: A case for blockchains and decentralized oracle networks

KHY Chung, D Li, P Adriaens - Technological Forecasting and Social …, 2023 - Elsevier
The capital required to maintain infrastructure in good repair falls short globally. This is
commonly referred to as the “infrastructure finance gap”. To address climate change …

Deep reinforcement learning for the real time control of stormwater systems

A Mullapudi, MJ Lewis, CL Gruden, B Kerkez - Advances in water …, 2020 - Elsevier
A new generation of smart stormwater systems promises to reduce the need for new
construction by enhancing the performance of the existing infrastructure through real-time …

Low-cost environmental sensor networks: Recent advances and future directions

F Mao, K Khamis, S Krause, J Clark… - Frontiers in Earth …, 2019 - frontiersin.org
The use of low-cost sensor networks (LCSNs) is becoming increasingly popular in the
environmental sciences and the unprecedented monitoring data generated enable research …

Machine learning-assisted, process-based quality control for detecting compromised environmental sensors

JQ Schmidt, B Kerkez - Environmental Science & Technology, 2023 - ACS Publications
Machine learning (ML) techniques promise to revolutionize environmental research and
management, but collecting the necessary volumes of high-quality data remains …

Recent advances in real-time pluvial flash flood forecasting

ADL Zanchetta, P Coulibaly - Water, 2020 - mdpi.com
Recent years have witnessed considerable developments in multiple fields with the potential
to enhance our capability of forecasting pluvial flash floods, one of the most costly …

Enhancing stormwater control measures using real-time control technology: a review

WD Xu, MJ Burns, F Cherqui, TD Fletcher - Urban Water Journal, 2021 - Taylor & Francis
ABSTRACT Stormwater Control Measures (SCMs) are increasingly applied to capture and
utilise urban runoff to augment water supply, reduce flood risk, and to restore natural flow …

[HTML][HTML] Model predictive control of stormwater basins coupled with real-time data assimilation enhances flood and pollution control under uncertainty

J Oh, M Bartos - Water Research, 2023 - Elsevier
Smart stormwater systems equipped with real-time controls are transforming urban drainage
management by enhancing the flood control and water treatment potential of previously …