[HTML][HTML] Moving to a future of smart stormwater management: A review and framework for terminology, research, and future perspectives
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 …
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 …
deployed without full knowledge of potential unintended social, ecological, and human …
Pipedream: An interactive digital twin model for natural and urban drainage systems
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 …
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 …
commonly referred to as the “infrastructure finance gap”. To address climate change …
Deep reinforcement learning for the real time control of stormwater systems
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 …
construction by enhancing the performance of the existing infrastructure through real-time …
Low-cost environmental sensor networks: Recent advances and future directions
The use of low-cost sensor networks (LCSNs) is becoming increasingly popular in the
environmental sciences and the unprecedented monitoring data generated enable research …
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 …
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 …
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
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 …
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
Smart stormwater systems equipped with real-time controls are transforming urban drainage
management by enhancing the flood control and water treatment potential of previously …
management by enhancing the flood control and water treatment potential of previously …