Toward Digital Twins for Emerging Contaminants in Water Distribution Systems

[1]  G. R. Abhijith,et al.  Flexible decision-making framework for developing operation protocol for water distribution systems. , 2022, Journal of environmental management.

[2]  A. Ostfeld,et al.  Contaminant Fate and Transport Modeling in Distribution Systems: EPANET-C , 2022, Water.

[3]  A. Ostfeld,et al.  Making waves: Applying systems biology principles in water distribution systems engineering. , 2022, Water research.

[4]  G. Klobučar,et al.  Ecotoxicological aspects related to the occurrence of emerging contaminants in the Dinaric karst aquifer of Jadro and Žrnovnica springs. , 2022, The Science of the total environment.

[5]  M. Naushad,et al.  Emerging contaminants of high concern for the environment: Current trends and future research. , 2021, Environmental research.

[6]  G. R. Abhijith,et al.  Model-based investigation of the formation, transmission, and health risk of perfluorooctanoic acid, a member of PFASs group, in drinking water distribution systems. , 2021, Water research.

[7]  G. R. Abhijith,et al.  Modeling the Formation and Propagation of 2,4,6-trichloroanisole, a Dominant Taste and Odor Compound, in Water Distribution Systems , 2021 .

[8]  E. Kudlek.  Transformation of Contaminants of Emerging Concern (CECs) during UV-Catalyzed Processes Assisted by Chlorine , 2020, Catalysts.

[9]  G. R. Abhijith,et al.  Random Walk Particle Tracking Embedded Cellular Automata Model for Predicting Temporospatial Variations of Chlorine in Water Distribution Systems , 2020, Environmental Processes.

[10]  W. Arnold,et al.  PFOA and PFOS Are Generated from Zwitterionic and Cationic Precursor Compounds During Water Disinfection with Chlorine or Ozone , 2018, Environmental Science & Technology Letters.

[11]  Ahmed A. Abokifa,et al.  Investigating the role of biofilms in trihalomethane formation in water distribution systems with a multicomponent model. , 2016, Water research.

[12]  Pratim Biswas,et al.  Water quality modeling in the dead end sections of drinking water distribution networks. , 2016, Water research.

[13]  Steven G. Buchberger,et al.  Importance of demand modelling in network water quality models: a review , 2008 .

[14]  Velitchko G. Tzatchkov,et al.  The numerical Green's function technique for boundary value problems in networks , 1998 .

[15]  P. Mäki-Arvela,et al.  Kinetics of the Chlorination of Acetic Acid with Chlorine in the Presence of Chlorosulfonic Acid and Thionyl Chloride , 1994 .

[16]  S. D. Boyce,et al.  Reaction pathways of trihalomethane formation from the halogenation of dihydroxyaromatic model compounds for humic acid. , 1983, Environmental science & technology.

[17]  Juan Antonio Rodríguez Díaz,et al.  Optimisation of water demand forecasting by artificial intelligence with short data sets , 2019, Biosystems Engineering.

[18]  Daniela Fuchs-Hanusch,et al.  OOPNET: An object-oriented EPANET in Python☆ , 2015 .

[19]  A. Ostfeld,et al.  Modelling Heavy Metal Contamination Events in Water Distribution Systems , 2015 .