Health risks and predictive modeling of disinfection byproducts in swimming pools
Disinfection is an indispensable water treatment process used to inactivate pathogens and prevent outbreaks of infectious diseases in swimming pools. However, toxic disinfection byproducts (DBPs) are inevitably formed during the process. To improve the supervision and regulation of DBPs in swimming...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-06-01
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| Series: | Environment International |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412019326534 |
| _version_ | 1818970644608450560 |
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| author | Fangyuan Peng Jingjin Peng Haipu Li Yue Li Beizi Wang Zhaoguang Yang |
| author_facet | Fangyuan Peng Jingjin Peng Haipu Li Yue Li Beizi Wang Zhaoguang Yang |
| author_sort | Fangyuan Peng |
| collection | DOAJ |
| description | Disinfection is an indispensable water treatment process used to inactivate pathogens and prevent outbreaks of infectious diseases in swimming pools. However, toxic disinfection byproducts (DBPs) are inevitably formed during the process. To improve the supervision and regulation of DBPs in swimming pools, the reliability of using trihalomethanes (THMs) as the sole indicator of organic DBPs and the possibility of using easily detectable water quality parameters as predictors of DBPs were discussed based on the occurrence of 29 typical DBPs in swimming pools. Among the target DBP categories, THMs and haloacetic acids (HAAs) were the prominent species, and the concentrations of HAAs were the highest. The risk assessment results indicated that the total risk values in most pools were higher than the acceptable value (10−6). Compared with nitrosamines and THMs, HAAs were the main contributors to the cancer risks posed by dermal absorption and ingestion. THMs (r = 0.619; p < 0.01) and HAAs (r = 0.989; p < 0.01) were both significantly correlated with total DBPs (the sum of 29 DBPs). A stepwise multivariate regression model was developed by analyzing the correlations between total DBPs and water quality parameters, and the relationship coefficient R2 was 0.756. This study provides important information and perspectives for the improvement and implementation of standards for swimming pool water. |
| first_indexed | 2024-12-20T14:39:46Z |
| format | Article |
| id | doaj.art-749ab1b60d5e4030aa1f47fee48dad32 |
| institution | Directory Open Access Journal |
| issn | 0160-4120 |
| language | English |
| last_indexed | 2024-12-20T14:39:46Z |
| publishDate | 2020-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environment International |
| spelling | doaj.art-749ab1b60d5e4030aa1f47fee48dad322022-12-21T19:37:21ZengElsevierEnvironment International0160-41202020-06-01139Health risks and predictive modeling of disinfection byproducts in swimming poolsFangyuan Peng0Jingjin Peng1Haipu Li2Yue Li3Beizi Wang4Zhaoguang Yang5Center for Environment and Water Resources, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR ChinaCenter for Environment and Water Resources, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR ChinaCenter for Environment and Water Resources, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR China; Corresponding authors at: Center for Environment and Water Resources, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China.Center for Environment and Water Resources, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR ChinaDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, PR ChinaCenter for Environment and Water Resources, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR China; Corresponding authors at: Center for Environment and Water Resources, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China.Disinfection is an indispensable water treatment process used to inactivate pathogens and prevent outbreaks of infectious diseases in swimming pools. However, toxic disinfection byproducts (DBPs) are inevitably formed during the process. To improve the supervision and regulation of DBPs in swimming pools, the reliability of using trihalomethanes (THMs) as the sole indicator of organic DBPs and the possibility of using easily detectable water quality parameters as predictors of DBPs were discussed based on the occurrence of 29 typical DBPs in swimming pools. Among the target DBP categories, THMs and haloacetic acids (HAAs) were the prominent species, and the concentrations of HAAs were the highest. The risk assessment results indicated that the total risk values in most pools were higher than the acceptable value (10−6). Compared with nitrosamines and THMs, HAAs were the main contributors to the cancer risks posed by dermal absorption and ingestion. THMs (r = 0.619; p < 0.01) and HAAs (r = 0.989; p < 0.01) were both significantly correlated with total DBPs (the sum of 29 DBPs). A stepwise multivariate regression model was developed by analyzing the correlations between total DBPs and water quality parameters, and the relationship coefficient R2 was 0.756. This study provides important information and perspectives for the improvement and implementation of standards for swimming pool water.http://www.sciencedirect.com/science/article/pii/S0160412019326534Water quality standardSwimming poolCorrelationsRegression analysisToxicity |
| spellingShingle | Fangyuan Peng Jingjin Peng Haipu Li Yue Li Beizi Wang Zhaoguang Yang Health risks and predictive modeling of disinfection byproducts in swimming pools Environment International Water quality standard Swimming pool Correlations Regression analysis Toxicity |
| title | Health risks and predictive modeling of disinfection byproducts in swimming pools |
| title_full | Health risks and predictive modeling of disinfection byproducts in swimming pools |
| title_fullStr | Health risks and predictive modeling of disinfection byproducts in swimming pools |
| title_full_unstemmed | Health risks and predictive modeling of disinfection byproducts in swimming pools |
| title_short | Health risks and predictive modeling of disinfection byproducts in swimming pools |
| title_sort | health risks and predictive modeling of disinfection byproducts in swimming pools |
| topic | Water quality standard Swimming pool Correlations Regression analysis Toxicity |
| url | http://www.sciencedirect.com/science/article/pii/S0160412019326534 |
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