Models for estimation of the presence of non-regulated disinfection by-products in small drinking water systems



Among all the organic disinfection by-products (DBPs), only trihalomethanes (THMs) and haloacetic acids (HAAs) are regulated in drinking water, while most DBPs are not. Very little information exists on the occurrence of non-regulated DBPs, particularly in small water systems (SWS). Paradoxically, SWS are more vulnerable to DBPs because of a low capacity to implement adequate treatment technologies to remove DBP precursors. Since DBP analyses are expensive, usually SWS have difficulties to implement a rigorous characterization of these contaminants. The purpose of this study was to estimate non-regulated DBP levels in SWS from easy measurements of relevant parameters regularly monitored. Since no information on non-regulated DBPs in SWS was available, a sampling program was carried out in 25 SWS in two provinces of Canada. Five DBP families were investigated: THMs, HAAs, haloacetonitriles (HANs), halonitromethanes (HNMs), and haloketones (HKs). Multivariate linear mixed regression models were developed to estimate HAN, HK, and HNM levels from water quality characteristics in the water treatment plant, concentrations of regulated DBPs, and residual disinfectant levels. The models obtained have a good explanatory capacity since R 2 varies from 0.77 to 0.91 according to compounds and conditions for application (season and type of treatment). Model validation with an independent database suggested their ability for generalization in similar SWS in North America.


Small systems Non-regulated disinfection by-products Haloacetonitriles Halonitrometanes Haloketones Modeling 



The authors thank all the voluntary municipalities and the water operators of the 25 SWS for their contribution. Many thanks also to the Department of Environment and Conservation of Newfoundland and Labrador and the Ministère du Développement Durable, de l’Environnement et de la Lutte contre les Changements Climatiques of Quebec for their support. The authors also thank all CREPUL members for their priceless help during the study.

Supplementary material

10661_2017_6296_MOESM1_ESM.docx (24 kb)
ESM 1 (DOCX 24 kb)


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.École supérieure d’aménagement du territoire et développement régional (ESAD)Université LavalQuébecCanada

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