Developing stacking ensemble models for multivariate contamination detection in water distribution systems
Z Li, C Zhang, H Liu, C Zhang, M Zhao, Q Gong… - Science of the Total …, 2022 - Elsevier
… for contamination event detection using multiple water quality … of water quality parameters
or identify contaminants directly, … in a multivariate space defined by the water quality signal. An …
or identify contaminants directly, … in a multivariate space defined by the water quality signal. An …
Review of modeling methodologies for managing water distribution security
… Water distribution systems are vulnerable to hazards that … used to detect the occurrence of
a contamination event. Online … A data mining approach was developed that constructs a large …
a contamination event. Online … A data mining approach was developed that constructs a large …
Leak localization in water distribution networks using pressure and data-driven classifier approach
… the probabilities of each possible leak location at each time step … of bacteria, and pollutant
contamination [1]. Besides that, … the model will create an irregular event in which it is difficult to …
contamination [1]. Besides that, … the model will create an irregular event in which it is difficult to …
Review of model-based and data-driven approaches for leak detection and location in water distribution systems
Z Hu, B Chen, W Chen, D Tan, D Shen - Water Supply, 2021 - iwaponline.com
… for reducing water loss in water distribution systems (WDSs) and realizing sustainable water
… leakage event may be identified by their (significant) deviations from their predicted values. …
… leakage event may be identified by their (significant) deviations from their predicted values. …
Contamination source detection in water distribution networks using belief propagation
… Assuming that contamination is a rare event (in space and … or data mining methods trained
over many contamination events … to know the most likely values of the contamination patterns \(…
over many contamination events … to know the most likely values of the contamination patterns \(…
Water supply network pollution source identification by random forest algorithm
… Data mining based search of contamination event source relies on a precompiled … data-driven
model greatly depends on the number of monitoring stations in the water supply network. …
model greatly depends on the number of monitoring stations in the water supply network. …
Monitoring support for water distribution systems based on pressure sensor data
CVC Geelen, DR Yntema, J Molenaar… - Water Resources …, 2019 - Springer
… lead to contamination of the Dutch non-chlorinated drinking water, … The data set from 2013
contains a rapid crack propagation event … and data mining. AAAI Press, Portland, pp 226–231 …
contains a rapid crack propagation event … and data mining. AAAI Press, Portland, pp 226–231 …
Effect driven prioritization of contaminants in wastewater treatment plants across China: A data mining-based toxicity screening approach
… data on contaminant occurrence and regional distribution … knowledge to develop contaminant
screening spaces and risk … to identify and prioritize event drivers responsible for water …
screening spaces and risk … to identify and prioritize event drivers responsible for water …
Data mining application in assessment of weather-based influent scenarios for a WWTP: getting the most out of plant historical data
S Borzooei, R Teegavarapu, S Abolfathi… - Water, Air, & Soil …, 2019 - Springer
… the characteristic flow and pollutant concentrations of CSO water. This … data treatment identified
112 data points (3.8% of the data) … The wet-weather condition is defined as an event with …
112 data points (3.8% of the data) … The wet-weather condition is defined as an event with …
A multivariate Bayesian network analysis of water quality factors influencing trihalomethanes formation in drinking water distribution systems
RA Li, JA McDonald, A Sathasivan, SJ Khan - Water Research, 2021 - Elsevier
… network approach is particularly useful to determine the … and valid data points and selected
water quality parameters … machine learning algorithm for data mining processes. The missing …
water quality parameters … machine learning algorithm for data mining processes. The missing …