Literature DB >> 22563808

Exposure assessment framework for antimicrobial copper use in urbanized areas.

Mark Velleux1, Aaron Redman, Paul Paquin, Robert Santore, John F England, Pierre Y Julien.   

Abstract

Copper is used as an antimicrobial agent in building materials such as algae-resistant roofing shingles and treated wood products for decks, fences, and utility poles used in urbanized areas. Releases from these materials may pose risks to aquatic and terrestrial organisms. Copper exposures in surface water, sediment, and soil were estimated for a hypothetical urban setting using the TREX watershed model. Drainage and soil characteristics were based on an existing watershed. Urban landscape characteristics were developed from data regarding housing densities and copper use in building materials. This setting provides a spatially distributed, upper-bound assessment scenario. Release rates from algae-resistant shingles and treated wood were defined based on surface area and rainfall. Simulations for the urban landscapes were performed for a 10-year period. Simulation results were used to evaluate exceedences of benchmark concentrations for water, sediment, and soil. For algae-resistant shingles, exposures did not exceed benchmarks in any media. For treated wood, exposures did not exceed sediment and soil benchmarks, and surface water benchmarks were exceeded on 2 days in 10 years. Based on this analysis, copper use as an antimicrobial agent in algae resistant shingles and treated wood is not expected to pose significant adverse environmental risks on an individual use basis.

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Year:  2012        PMID: 22563808     DOI: 10.1021/es204452w

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  1 in total

1.  Bioremediation of copper in sediments from a constructed wetland ex situ with the novel bacterium Cupriavidus basilensis SRS.

Authors:  Alex Kugler; Robin L Brigmon; Abby Friedman; Fanny M Coutelot; Shawn W Polson; John C Seaman; Waltena Simpson
Journal:  Sci Rep       Date:  2022-10-21       Impact factor: 4.996

  1 in total

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