Abstract
Disinfection 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.
Highlights
Water is essential for life and its safety is of paramount importance
The study’s results showed that the first two models developed for water distribution networks (WDNs) A are not reliable and cannot be used for the prediction of Total trihalomethanes (TTHMs)
Reasons for this include the lack of sufficient data and lack of data for explanatory variables affecting the formation of TTHMs
Summary
Drinking water distribution networks (WDNs) supplying water to the consumers are extremely complex systems, comprised of hundreds of kilometers of pipes, storage tanks, pumps, valves, and other important assets for the operation of the WDN. Microbial load exists in natural water coming from surface or groundwater sources, but it can be present under normal operating conditions, natural disasters, and malicious threats [1]. Natural disasters such as extreme weather phenomena (floods) or earthquakes might cause several kinds of damage to WDNs and may result in the entrance of micro-organisms at several parts of the network. An important measure taken to reduce the risk of contaminated drinking water by micro-organisms is disinfection. (2) develop predictive models for the concentration of THMs in these systems; and (3) statistically evaluate the developed models and present limiting factors
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
