4.7 Article

Prediction of lead leaching from galvanic corrosion of lead-containing components in copper pipe drinking water supply systems

期刊

JOURNAL OF HAZARDOUS MATERIALS
卷 436, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jhazmat.2022.129169

关键词

Lead in drinking water; Galvanic corrosion; Electrochemical model; Mass transport; Lead leaching

资金

  1. Research Grants Council of Hong Kong [16216717]
  2. Hong Kong Water Supplies Department on the provision of full scale prototype water supply chains

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This study presents an electrochemistry-based model to predict lead leaching from a copper pipe fitted with leaded connections. The findings provide valuable insights into galvanic corrosion in drinking water systems and offer a practical framework for predicting lead contamination in tap water.
Galvanic corrosion is one of the main reasons for pipe degradation and lead contamination in drinking water systems. The electrical connection of dissimilar metals in corrosive tap water accelerates the dissolution rate of lead from leaded materials. This paper reports an electrochemistry based model to predict lead leaching from a copper pipe fitted with leaded connections. The corrosion of lead at the metal-electrolyte interface depends on the charge transfer and the electric field across the interface. The electric potential field and the mass transport process are dynamically coupled for corrosion propagation in stagnant water; they are respectively governed by the conservation of charge and reactant mass. Using polarization parameters for the electrodes as a function of concentration of oxidizing agents, a dynamic electrochemical model is developed to predict lead leaching from galvanic corrosion. The predicted lead and copper leaching curves are in good agreement with the experimental data for a lead-soldered coupled copper pipe, a brass valve coupled copper pipe, and a pure copper pipe. The findings offer a quantitative understanding on galvanic corrosion in drinking water supply systems and a practical modeling framework for prediction of lead leaching in tap water as a function of stagnation time.

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