Toward Digital Twins for Emerging Contaminants in Water Distribution Systems-Reference-Cited by-同舟云学术

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Toward Digital Twins for Emerging Contaminants in Water Distribution Systems

Published:2023-05-18 Issue: Volume: Page:
ISSN:
Container-title:World Environmental and Water Resources Congress 2023
language:
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Author:

Abhijith Gopinathan R.¹²³,Steffelbauer David B.¹²³,Ostfeld Avi¹²³

Affiliation:

1. Faculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology, Haifa, Israel.

2. Hydroinformatics Group, Kompetenzzentrum Wasser Berlin gGmbH, Berlin, Germany

3. Faculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology, Haifa, Israel

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484852.096

Reference35 articles.

1. Random Walk Particle Tracking Embedded Cellular Automata Model for Predicting Temporospatial Variations of Chlorine in Water Distribution Systems

2. Modeling the Response of Nonchlorinated, Chlorinated, and Chloraminated Water Distribution Systems toward Arsenic Contamination

3. Model-based investigation of the formation, transmission, and health risk of perfluorooctanoic acid, a member of PFASs group, in drinking water distribution systems;Abhijith G. R.;Water Research,2021

4. Modeling the Formation and Propagation of 2,4,6-trichloroanisole, a Dominant Taste and Odor Compound, in Water Distribution Systems

5. Flexible decision-making framework for developing operation protocol for water distribution systems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AQUATWIN: A Digital Twin Framework for Early Detection of Water Contamination;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11

2. Development of an AI-Based Digital Twin Model for Wastewater Treatment Plant;Springer Proceedings in Materials;2024

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