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Performance of a constructed wetland in Grand Marais, Manitoba, Canada: Removal of nutrients, pharmaceuticals, and antibiotic resistance genes from municipal wastewater

Overview of attention for article published in BMC Chemistry, March 2013
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Title
Performance of a constructed wetland in Grand Marais, Manitoba, Canada: Removal of nutrients, pharmaceuticals, and antibiotic resistance genes from municipal wastewater
Published in
BMC Chemistry, March 2013
DOI 10.1186/1752-153x-7-54
Pubmed ID
Authors

Julie C Anderson, Jules C Carlson, Jennifer E Low, Jonathan K Challis, Charles S Wong, Charles W Knapp, Mark L Hanson

Abstract

The discharge of complex mixtures of nutrients, organic micropollutants, and antibiotic resistance genes from treated municipal wastewater into freshwater systems are global concerns for human health and aquatic organisms. Antibiotic resistance genes (ARGs) are genes that have the ability to impart resistance to antibiotics and reduce the efficacy of antibiotics in the systems in which they are found. In the rural community of Grand Marais, Manitoba, Canada, wastewater is treated passively in a sewage lagoon prior to passage through a treatment wetland and subsequent release into surface waters. Using this facility as a model system for the Canadian Prairies, the two aims of this study were to assess: (a) the presence of nutrients, micropollutants (i.e., pesticides, pharmaceuticals), and ARGs in lagoon outputs, and (b) their potential removal by the treatment wetland prior to release to surface waters in 2012.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 1%
Malaysia 1 <1%
Canada 1 <1%
Estonia 1 <1%
United States 1 <1%
Philippines 1 <1%
Unknown 184 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 22%
Student > Master 32 17%
Student > Bachelor 22 12%
Researcher 21 11%
Professor 9 5%
Other 33 17%
Unknown 32 17%
Readers by discipline Count As %
Environmental Science 52 27%
Engineering 27 14%
Agricultural and Biological Sciences 20 10%
Chemistry 8 4%
Biochemistry, Genetics and Molecular Biology 6 3%
Other 27 14%
Unknown 51 27%