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dc.creatorTsitsifli S., Kanakoudis V.en
dc.date.accessioned2023-01-31T10:16:28Z
dc.date.available2023-01-31T10:16:28Z
dc.date.issued2020
dc.identifier10.3390/w12051422
dc.identifier.issn20734441
dc.identifier.urihttp://hdl.handle.net/11615/80055
dc.description.abstractDisinfection is a very significant water treatment process for drinking water safety, as it inactivates pathogens from drinking water. However, disinfection-by-products (DBPs) are formed which are accused of contributing to cancer and reproductive/developmental effects. Research has provided many predictive models for the formation of DBPs based on various water quality parameters and following different methodologies. The present study aims at developing predictive models for the formation of DBPs in two drinking water supply systems in Greece. Data from the water supply systems are used. A statistical analysis took place to identify the predictive models for the formation of Total trihalomethanes (TTHMs). The results showed that some of the developed models are more reliable than others. However, further study is necessary in order to obtain more data on variables that are affecting trihalomethanes (THMs) formation. Such models can be used mainly locally. © 2020 by the authors.en
dc.language.isoenen
dc.sourceWater (Switzerland)en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85085866824&doi=10.3390%2fw12051422&partnerID=40&md5=f33960678172e0b103fc18040104eb88
dc.subjectDisinfectionen
dc.subjectWater qualityen
dc.subjectWater supplyen
dc.subjectWater supply systemsen
dc.subjectWater treatmenten
dc.subjectDeveloped modelen
dc.subjectDisinfection byproductsen
dc.subjectPredictive modelsen
dc.subjectTrihalomethanesen
dc.subjectWater quality parametersen
dc.subjectWater treatment processen
dc.subjectPotable wateren
dc.subjectbyproducten
dc.subjectchemical compounden
dc.subjectdisinfectionen
dc.subjectdrinking wateren
dc.subjectmodelen
dc.subjectwater qualityen
dc.subjectwater supplyen
dc.subjectwater treatmenten
dc.subjectGreeceen
dc.subjectMDPI AGen
dc.titleDeveloping THMs' predictive models in two water supply systems in Greeceen
dc.typejournalArticleen


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