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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Ecological Engineeri...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Ecological Engineering
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Ecological Engineering
Article . 2015
Data sources: u:cris
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Combating planktonic algae with benthic algae

Authors: Mayr, Magdalena; Jerney, Jacqueline; Schagerl, Michael;

Combating planktonic algae with benthic algae

Abstract

Anthropogenic eutrophication of surface waters may cause mass development of algae, including cyanoprokaryotes, with serious effects on ecosystem health. In the current study, drastic hydrological changes initiated a eutrophication process of a former backwater of the river Danube (Austria). As a first restoration measure, a gravel filter followed by a phosphate trap was installed in 2007. Because this purification system was not effective enough, we constructed an additional biological treatment in 2011, using the self-purification process in streams, particularly through photoautotrophic biofilms. We installed artificial stream beds (algae turf scrubber=ATS) at the gravel filter surface, which were supplied with water from the backwater. The study aimed to estimate growth, productivity and composition of the algal biomass to test the potential of ATSs for nutrient removal and to examine the biomass with regard to further applications. Measurements of biomass, nutrients and fatty acids were done during three runs. Maximal phosphorus removal rates were observed with about 19mg total phosphorus m -2d -1; peak biomass of approximately 250gm -2 dry mass was achieved. In total, approximately 18.8kg of phosphorusha -1 could be removed within five months. Further use of the harvested biomass as fertilizer, fermentation feedstock or combustion fuel is possible. The pilot study showed that the ATS technology has great potential and provides an effective and ecologically sustainable way to remove nutrients from surface waters, with the positive effect of producing biomass.

Country
Austria
Related Organizations
Keywords

CHLOROPHYLL FLUORESCENCE, 106019 Hydrobiology, Cultivation, Water amelioration, 106019 Hydrobiologie, BLOOMS, ECOSYSTEMS, STREAMS, SDG 2 – Kein Hunger, SDG 2 - Zero Hunger, Productivity, SPECTROPHOTOMETRIC EQUATIONS, PRODUCTIVITY, RECOVERY, Fatty acid, Periphyton, WATER-QUALITY, EUTROPHICATION, MANURE NUTRIENTS

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    popularity
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
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