Predictive capability of chlorination disinfection byproducts models

Evan C. Ged, Paul A. Chadik, Treavor H. Boyer

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

There are over 100 models that have been developed for predicting trihalomethanes (THMs), haloacetic acids (HAAs), bromate, and unregulated disinfection byproducts (DBPs). Until now no publication has evaluated the variability of previous THM and HAA models using a common data set. In this article, the standard error (SE), Marquardt's percent standard deviation (MPSD), and linear coefficient of determination (R2) were used to analyze the variability of 87 models from 23 different publications. The most robust models were capable of predicting THM4 with an SE of 48μgL-1 and HAA6 with an SE of 15μgL-1, both achieving R2>0.90. The majority of models were formulated for THM4. There is a lack of published models evaluating total HAAs, individual THM and HAA species, bromate, and unregulated DBPs.

Original languageEnglish (US)
Pages (from-to)253-262
Number of pages10
JournalJournal of Environmental Management
Volume149
DOIs
StatePublished - Feb 1 2015
Externally publishedYes

Keywords

  • Bromide
  • Chlorination
  • Dissolved organic carbon (DOC)
  • Haloaceticacids (HAA)
  • Mathematical modeling
  • Trihalomethanes (THM)
  • Uniform formation conditions

ASJC Scopus subject areas

  • Environmental Engineering
  • Waste Management and Disposal
  • Management, Monitoring, Policy and Law

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