Abstract
Drinking water chlorination reduces the risk of pathogenic infection, but it may be harmful to human health because of disinfection by-product (DBP) formation. Available predictive models of DBP formation are almost exclusively calibrated at lab scale. The objective of the present research work is to apply two of them at full scale for the Santa Sofia aqueduct (Campania, Southern Italy), in order to predict DBP formation and evolution as function of the real water network characteristics. Live data, gathered continuously by a wireless network of multi-parametric probes, installed on the aqueduct, along with data measured in laboratory, are used for model calibration. The predictive scenarios are performed by using an open source integrated GIS-based platform (including Epanet, MSX, GIS uDig).
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Acknowledgement
The research work has partially been funded by ACQUARETI Project – POR Campania 2000/2006 Misura 3.17. The authors wish to thank Acqua Campania Spa Company for its profitable collaboration.
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© 2014 Springer International Publishing Switzerland
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Fattoruso, G. et al. (2014). Use of Kinetic Models for Predicting DBP Formation in Water Supply Systems. In: Di Natale, C., Ferrari, V., Ponzoni, A., Sberveglieri, G., Ferrari, M. (eds) Sensors and Microsystems. Lecture Notes in Electrical Engineering, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-319-00684-0_91
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DOI: https://doi.org/10.1007/978-3-319-00684-0_91
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