Bench-scale assessment of the formation and control of disinfection byproducts from human endogenous organic precursors in swimming pools

Chemosphere ◽  
2019 ◽  
Vol 224 ◽  
pp. 607-615 ◽  
Author(s):  
Yi Liu ◽  
Chia-Yang Chen ◽  
Gen-Shuh Wang
2010 ◽  
Vol 10 (5) ◽  
pp. 730-739 ◽  
Author(s):  
Edward McBean ◽  
Zoe Zhu ◽  
Wen Zeng

While disinfection of drinking water reduces the risks of pathogenic infection, threats to human health due to the formation of disinfection byproducts (DBPs) may arise due to natural organic precursors. Regression-based models characterizing the formation of DBPs are derived from data for 28 conventional water treatment plants in Ontario. DBPs are shown to be correlated statistically with dissolved organic carbon, pre-and post-chlorination dosages, pH and temperature. Using backward elimination nonlinear regression, a set of mathematical functions are obtained (R2=0.62 to 0.79) for an array of DBPs. The models are used to guide decision-markers in the selection and operation of drinking water treatment processes to decrease DBP formation, indicating that a shift from emphasis on pre-chlorination to post-chlorination has the most effect on DBP formation.


2007 ◽  
Vol 55 (1-2) ◽  
pp. 307-313 ◽  
Author(s):  
J. Lee ◽  
D. Lee ◽  
J. Sohn

Maintenance of adequate chlorine residuals and control of disinfection byproducts (DBPs) throughout water distribution systems is currently an important issue. In particular, rechlorination can be a powerful tool in controlling adequate chlorine residual in a large distribution system. The patterns of chlorine decay and formation of DBPs due to rechlorination are different from those of chlorination; chlorine decay is slower and trihalomethane (THM) formation is lower with rechlorination. The present study evaluates whether existing predictive models for chlorine residual and THM formation are applicable in the case of rechlorination. A parallel first-order decay model represents the best simulation results for chlorine decay, and an empirical power function model (modified Amy model) with an introduced correction coefficient (ϕ1, ϕ2) is more suitable to THM formation.


2016 ◽  
Vol 105 ◽  
pp. 413-420 ◽  
Author(s):  
Yue E ◽  
Hui Bai ◽  
Lushi Lian ◽  
Jing Li ◽  
Ernest R. Blatchley

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