Water leak localization using high-resolution pressure sensors
A new method for identifying a leaking pipe within a pressurized water distribution system is
presented. This novel approach utilizes transient modeling to analyze water networks …
presented. This novel approach utilizes transient modeling to analyze water networks …
Assessment and interpretation of river water quality in Little Akaki River using multivariate statistical techniques
M Yilma, Z Kiflie, A Windsperger, N Gessese - International journal of …, 2019 - Springer
Indiscriminant waste disposal is limiting the usability of the Little Akaki River in Addis Ababa,
Ethiopia. Besides, there are inadequate comprehensive studies on the river principally due …
Ethiopia. Besides, there are inadequate comprehensive studies on the river principally due …
Application of machine learning techniques to predict anomalies in water supply networks
D Vries, B Van Den Akker, E Vonk… - Water Science and …, 2016 - iwaponline.com
Methods to improve the operational efficiency of a water supply network by early detection of
anomalies are investigated by making use of the data streams from multiple sensor locations …
anomalies are investigated by making use of the data streams from multiple sensor locations …
Contamination event detection with multivariate time-series data in agricultural water monitoring
Y Mao, H Qi, P **, X Li - Sensors, 2017 - mdpi.com
Time series data of multiple water quality parameters are obtained from the water sensor
networks deployed in the agricultural water supply network. The accurate and efficient …
networks deployed in the agricultural water supply network. The accurate and efficient …
Cloud-based event detection platform for water distribution networks using machine-learning algorithms
Modern water distribution networks are equipped with a large amount of sensors to monitor
the drinking water quality. To detect anomalies, usually each sensor contains its own …
the drinking water quality. To detect anomalies, usually each sensor contains its own …
A Modular Architecture for Smart Data Analysis using AutomationML, OPC-UA and Data-driven Algorithms
Today, heterogeneous tool landscape and different data suppliers in the production
environment complicate a universal component for the processing of process and quality …
environment complicate a universal component for the processing of process and quality …
Vigilance of tap water quality: what is the potential for relying on individuals as alarm raisers?
C Heitz, P Ward-Perkins - WIT Transactions on Ecology and the …, 2015 - witpress.com
As part of a bi-national research project, 600 tap water users living in three European cities
(two in France, one in Germany) have been surveyed by telephone in order to explore …
(two in France, one in Germany) have been surveyed by telephone in order to explore …
Automating workflow in online water network analysis
IM Arango, J Deuerlein, N Guth, L Meyer-Harries - Procedia Engineering, 2015 - Elsevier
Analysing water networks online should not be constrained to classic hydraulic simulations.
Including other processes can give a much better global view of what is happening in the …
Including other processes can give a much better global view of what is happening in the …
[PDF][PDF] SMaRT-OnlineWDN: Online security management and reliability toolkit for water distribution networks.
ABSTRACT Water distribution Networks (WDNs) are critical infrastructures that are exposed
to deliberate or accidental contamination. Until now, no monitoring system is capable of …
to deliberate or accidental contamination. Until now, no monitoring system is capable of …
Exploring machine learning applications for improving drinking water quality
G Kyritsakas - 2021 - etheses.whiterose.ac.uk
Water utilities in the UK collect vast amounts of water quality data during their monitoring
programs to assure that the final product that they deliver to consumers is of a high quality …
programs to assure that the final product that they deliver to consumers is of a high quality …