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Computational modeling in the optimization of corrosion control to reduce lead in drinking water
Citation:
Croft, N., C. Hayes, AND M. Schock. Computational modeling in the optimization of corrosion control to reduce lead in drinking water. Presented at New England Water Works Association Spring Joint Conference & Exhibition, Worcester, MA, April 04 - 05, 2012.
Impact/Purpose:
This presentation gives the audience an update on a unique research project using premise profile water sampling to reveal distributions of lead in drinking water, and show relations to various methods of treatment and accuracy of different sampling protocols.
Description:
An international “proof-of-concept” research project (UK, US, CA) will present its findings during this presentation. An established computational modeling system developed in the UK is being calibrated and validated in U.S. and Canadian case studies. It predicts LCR survey results and the results of sequential sampling for lead. This enables optimum treatment conditions to be investigated. The project coincides with the revision of the U.S. LCR.
