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PubMed · 16767984

[Developing a statistical conceptual model for pre-chlorination process in waterworks].

Fu Sun·Ji-ning Chen·Qing-yuan Tong·Si-yu Zeng
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Abstract

Aiming at a method of risk analysis for drinking water treatment, a statistical conceptual model was developed to simulate the pre-chlorination process in waterworks, which involved the reactions among chlorine residuals, ammonia nitrogen, bromide and organic matter. The model was calibrated and verified with field data from a typical waterworks. The model could well predict the probability distribution of the concentration of permanganate index, ammonia nitrogen, chloroform, bromodichloromethane, chlorodibromomethane and bromoform in the pre-chlorination process.

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Chlorine CompoundsDisinfectantsModels, StatisticalWater PurificationWater SupplyEnglish AbstractJournal ArticleResearch Support, Non-U.S. Gov't

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Fu Sun, Ji-ning Chen, Qing-yuan Tong, Si-yu Zeng. 2006. [Developing a statistical conceptual model for pre-chlorination process in waterworks].. https://pubmed.ncbi.nlm.nih.gov/16767984/

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