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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
accidental drinking water contamination and vicious attacks to water distribution networks. In …
Machine Learning–Based Source Identification in Sewer Networks
Motivated by the valuable epidemiological information it reveals, wastewater surveillance
has received significant attention in recent years. Furthermore, monitoring the water quality …
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 …
biological pollution, which pose a threat to the health of consumers. In recent years, drinking …