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Prediction of lead leaching from galvanic corrosion of lead-containing components in copper pipe drinking water supply systems.
Chang, Lu; Lee, Joseph H W; Fung, Y S.
Affiliation
  • Chang L; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
  • Lee JHW; Macao Environmental Research Institute, Macau University of Science and Technology, Taipa, Macao, China. Electronic address: jhwlee@must.edu.mo.
  • Fung YS; Department of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
J Hazard Mater ; 436: 129169, 2022 08 15.
Article in En | MEDLINE | ID: mdl-35739706
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Drinking Water Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2022 Document type: Article Affiliation country: China Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Drinking Water Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2022 Document type: Article Affiliation country: China Country of publication: Netherlands