Review of urban drinking water contamination source identification methods

J Gong, X Guo, X Yan, C Hu - Energies, 2023 - mdpi.com
When drinking water flows into the water distribution network from a reservoir, it is exposed
to the risk of accidental or deliberate contamination. Serious drinking water pollution events …

Towards development of an optimization model to identify contamination source in a water distribution network

OS Adedoja, Y Hamam, B Khalaf, R Sadiku - Water, 2018 - mdpi.com
Protection of the water system is paramount due to the negative consequences of
contaminated water on the public health. Water resources are one of the critical …

Real-time identification of irrigation water pollution sources and pathways with a wireless sensor network and blockchain framework

YP Lin, H Mukhtar, KT Huang, JR Petway, CM Lin… - Sensors, 2020 - mdpi.com
Real-time identification of irrigation water pollution sources and pathways (PSP) is crucial to
ensure both environmental and food safety. This study uses an integrated framework based …

Pollution source intelligent location algorithm in water quality sensor networks

X Yan, J Gong, Q Wu - Neural Computing and Applications, 2021 - Springer
Water is the source of human life and water pollution is becoming more and more serious
with the development of cities. The supervision and treatment of water resources have …

Machine learning and simulation-optimization coupling for water distribution network contamination source detection

L Grbčić, L Kranjčević, S Družeta - Sensors, 2021 - mdpi.com
This paper presents and explores a novel methodology for solving the problem of a water
distribution network contamination event, which includes determining the exact source of …

Map-Balance-Reduce: An improved parallel programming model for load balancing of MapReduce

J Li, Y Liu, J Pan, P Zhang, W Chen, L Wang - Future Generation Computer …, 2020 - Elsevier
With the advent of the era of big data, the demand of massive data processing applications
is also growing. Currently, MapReduce is the most commonly used data processing …

Research on the parallelization of the DBSCAN clustering algorithm for spatial data mining based on the spark platform

F Huang, Q Zhu, J Zhou, J Tao, X Zhou, D **, X Tan… - Remote Sensing, 2017 - mdpi.com
Density-based spatial clustering of applications with noise (DBSCAN) is a density-based
clustering algorithm that has the characteristics of being able to discover clusters of any …

Multimodal optimization problem in contamination source determination of water supply networks

X Yan, J Zhao, C Hu, D Zeng - Swarm and Evolutionary Computation, 2019 - Elsevier
It makes great economic losses and bad social influence for our country about some
accidental drinking water contamination and vicious attacks to water distribution networks. In …

Machine Learning–Based Source Identification in Sewer Networks

AK Salem, AA Abokifa - Journal of Water Resources Planning and …, 2023 - ascelibrary.org
Motivated by the valuable epidemiological information it reveals, wastewater surveillance
has received significant attention in recent years. Furthermore, monitoring the water quality …

Pollution source localization in an urban water supply network based on dynamic water demand

X Yan, Z Zhu, T Li - Environmental Science and Pollution Research, 2019 - Springer
Urban water supply networks are susceptible to intentional, accidental chemical, and
biological pollution, which pose a threat to the health of consumers. In recent years, drinking …