The potential of knowing more: A review of data-driven urban water management

S Eggimann, L Mutzner, O Wani… - … science & technology, 2017 - ACS Publications
The promise of collecting and utilizing large amounts of data has never been greater in the
history of urban water management (UWM). This paper reviews several data-driven …

Leveraging big data tools and technologies: addressing the challenges of the water quality sector

JM Ponce Romero, SH Hallett, S Jude - Sustainability, 2017 - mdpi.com
The water utility sector is subject to stringent legislation, seeking to address both the
evolution of practices within the chemical/pharmaceutical industry, and the safeguarding of …

Battle of the attack detection algorithms: Disclosing cyber attacks on water distribution networks

R Taormina, S Galelli, NO Tippenhauer… - Journal of Water …, 2018 - ascelibrary.org
Abstract The BATtle of the Attack Detection ALgorithms (BATADAL) is the most recent
competition on planning and management of water networks undertaken within the Water …

Modeling urban coastal flood severity from crowd-sourced flood reports using Poisson regression and Random Forest

JM Sadler, JL Goodall, MM Morsy, K Spencer - Journal of hydrology, 2018 - Elsevier
Sea level rise has already caused more frequent and severe coastal flooding and this trend
will likely continue. Flood prediction is an essential part of a coastal city's capacity to adapt to …

Concepts and practices for transforming infrastructure from rigid to adaptable

EJ Gilrein, TM Carvalhaes, SA Markolf… - Sustainable and …, 2021 - Taylor & Francis
Infrastructure are increasingly being recognized as too rigid to quickly adapt to a changing
climate and a non-stationary future. This rigidness poses risks to infrastructure service …

Enhancing water system models by integrating big data

ME Shafiee, Z Barker, A Rasekh - Sustainable cities and society, 2018 - Elsevier
The past quarter century has witnessed development of advanced modeling approaches,
such as stochastic and agent-based modeling, to sustainably manage water systems in the …

Presenting a soft sensor for monitoring and controlling well health and pump performance using machine learning, statistical analysis, and Petri net modeling

MH Amini, M Arab, MG Faramarz, A Ghazikhani… - … Science and Pollution …, 2021 - Springer
Groundwater resources play a key role in supplying urban water demands in numerous
societies. In many parts of the world, wells provide a reliable and sufficient source of water …

Resilience for smart water systems

D Marchese, A Jin, C Fox-Lent… - Journal of Water …, 2020 - ascelibrary.org
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes
containing speculation, on a civil engineering topic of general interest and relevance to the …

Can smart stormwater systems outsmart the weather? Stormwater capture with real-time control in southern California

EA Parker, SB Grant, A Sahin, JA Vrugt… - ACS ES&T …, 2021 - ACS Publications
Stormwater capture systems have the potential to address many urban stormwater
management challenges, particularly in water-scarce regions like Southern California. Here …

How to get and keep citizens involved in mobile crowd sensing for water management? A review of key success factors and motivational aspects

M Rutten, E Minkman… - Wiley Interdisciplinary …, 2017 - Wiley Online Library
Citizen science and particularly mobile crowd sourcing (MCS) has large potential in water
resources management for data collection and awareness raising. Concerns about data …