Application of passive sampling for sensitive time-integrative monitoring of cyanobacterial toxins microcystins in drinking water treatment plants

2019 ◽  
Vol 153 ◽  
pp. 108-120 ◽  
Author(s):  
Libor Jaša ◽  
Jan Sadílek ◽  
Jiří Kohoutek ◽  
Lucie Straková ◽  
Blahoslav Maršálek ◽  
...  
Toxicon ◽  
2004 ◽  
Vol 43 (6) ◽  
pp. 639-649 ◽  
Author(s):  
Stefan J Hoeger ◽  
Glen Shaw ◽  
Bettina C Hitzfeld ◽  
Daniel R Dietrich

1986 ◽  
Vol 21 (3) ◽  
pp. 447-459 ◽  
Author(s):  
K.J. Roberts ◽  
R.B. Hunsinger ◽  
A.H. Vajdic

Abstract The Drinking Water Surveillance Program (DWSP), developed by the Ontario Ministry of the Environment, is an assessment project based on standardized analytical and sampling protocol. This program was recently instituted in response to a series of contaminant occurrences in the St. Clair-Detroit River area of Southwestern Ontario. This paper outlines the details and goals of the program and provides information concerning micro-contaminants in drinking water at seven drinking water treatment plants in Southwestern Ontario.


Author(s):  
Samantha Donovan ◽  
Ariel Jasmine Atkinson ◽  
Natalia Fischer ◽  
Amelia E Taylor ◽  
Johann Kieffer ◽  
...  

PolyDiallyldimethyl Ammonium Chloride (PolyDADMAC) is the most commonly used polymer at drinking water treatment plants and has the potential to form nitrosamines, like N-Nitrosodimethylamine (NDMA), if free polymer is present...


2000 ◽  
Vol 46 (6) ◽  
pp. 565-576 ◽  
Author(s):  
Pierre Payment ◽  
Aminata Berte ◽  
Michèle Prévost ◽  
Bruno Ménard ◽  
Benoît Barbeau

A 300-km portion of the Saint Lawrence hydrological basin in the province of Québec (Canada) and 45 water treatment plants were studied. River water used by drinking water treatment plants was analyzed (6-L sample volumes) to determine the level of occurrence of bacterial indicators (total coliforms, fecal coliforms, and Clostridium perfringens) and pathogens (Giardia lamblia, Cryptosporidium, human enteric viruses). Pathogens and bacterial indicators were found at all sites at a wide range of values. Logistic regression analysis revealed significant correlations between the bacterial indicators and the pathogens. Physicochemical and treatment practices data were collected from most water treatment plants and used to estimate the level of removal of pathogens achieved under cold (0°C-4°C) and warm (20°C-25°C) water temperature conditions. The calculated removal values were then used to estimate the annual risk of Giardia infection using mathematical models and to compare the sites. The estimated range of probability of infection ranged from 0.75 to less than 0.0001 for the populations exposed. Given the numerous assumptions made, the model probably overestimated the annual risk, but it provided comparative data of the efficacy of the water treatment plants and thereby contributes to the protection of public health.Key words: public health, drinking water, health risk, pathogen occurrence.


2009 ◽  
Vol 9 (4) ◽  
pp. 379-386 ◽  
Author(s):  
S. A. Baghoth ◽  
M. Dignum ◽  
A. Grefte ◽  
J. Kroesbergen ◽  
G. L. Amy

For drinking water treatment plants that do not use disinfectant residual in the distribution system, it is important to limit availability of easily biodegradable natural organic matter (NOM) fractions which could enhance bacterial regrowth in the distribution system. This can be achieved by optimising the removal of those fractions of interest during treatment; however, this requires a better understanding of the physical and chemical properties of these NOM components. Fluorescence excitation-emission matrix (EEM) and liquid chromatography with online organic carbon detection (LC-OCD) were used to characterize NOM in water samples from one of the two water treatment plants serving Amsterdam, The Netherlands. No disinfectant residual is applied in the distribution system. Fluorescence EEM and LC-OCD were used to track NOM fractions. Whereas fluorescence EEM shows the reduction of humic-like as well as protein-like fluorescence signatures, LC-OCD was able to quantify the changes in dissolved organic carbon (DOC) concentrations of five NOM fractions: humic substances, building blocks (hydrolysates of humics), biopolymers, low molecular weight acids and neutrals.


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