Predictive capability of THM models for drinking water treatment and distribution-Reference-Cited by-同舟云学术

Predictive capability of THM models for drinking water treatment and distribution

Published:2023 Issue:10 Volume:9 Page:2745-2759
ISSN:2053-1400
Container-title:Environmental Science: Water Research & Technology
language:en
Short-container-title:Environ. Sci.: Water Res. Technol.

Author:

Hogue Derek¹^ORCID,Mirchandani Pitu B.²,Boyer Treavor H.¹

Affiliation:

1. School of Sustainable Engineering and the Built Environment (SSEBE), Arizona State University, PO Box 873005, Tempe, AZ 85287-3005, USA

2. School of Computing and Augmented Intelligence (SCAI), Arizona State University, 699 S Mill Ave, Tempe, AZ 85281, USA

Abstract

This work evaluates generalizability of THM models and provides a framework to promote cohesive and collaborative model development efforts moving forward.

Funder

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Water Science and Technology,Environmental Engineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/EW/D3EW00308F

Reference61 articles.

1. Modelling chlorine residual and trihalomethane profiles in water distribution systems after treatment including pre-chlorination

2. Spatial and seasonal variability of tap water disinfection by-products within distribution pipe networks

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4. Causes, Factors, and Control Measures of Opportunistic Premise Plumbing Pathogens—A Critical Review

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