Sustainable Treatment of Aquaculture Effluents – What Can We Learn from the Past for the Future?

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Turcios, Ariel E.; Papenbrock, Jutta: Sustainable Treatment of Aquaculture Effluents – What Can We Learn from the Past for the Future?. In: Sustainability 6 (2014), Nr. 2, S. 836-856. DOI: http://dx.doi.org/10.3390/su6020836

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/33

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Sum total of downloads: 627




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Many aquaculture systems generate high amounts of wastewater containing compounds such as suspended solids, total nitrogen and total phosphorus. Today, aquaculture is imperative because fish demand is increasing. However, the load of waste is directly proportional to the fish production. Therefore, it is necessary to develop more intensive fish culture with efficient systems for wastewater treatment. A number of physical, chemical and biological methods used in conventional wastewater treatment have been applied in aquaculture systems. Constructed wetlands technology is becoming more and more important in recirculating aquaculture systems (RAS) because wetlands have proven to be well-established and a cost-effective method for treating wastewater. This review gives an overview about possibilities to avoid the pollution of water resources; it focuses initially on the use of systems combining aquaculture and plants with a historical review of aquaculture and the treatment of its effluents. It discusses the present state, taking into account the load of pollutants in wastewater such as nitrates and phosphates, and finishes with recommendations to prevent or at least reduce the pollution of water resources in the future.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2014-02-20
Appears in Collections:Naturwissenschaftliche Fakultät

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 367 58.53%
2 image of flag of United States United States 62 9.89%
3 image of flag of China China 18 2.87%
4 image of flag of Mexico Mexico 13 2.07%
5 image of flag of United Kingdom United Kingdom 13 2.07%
6 image of flag of India India 8 1.28%
7 image of flag of Philippines Philippines 7 1.12%
8 image of flag of Indonesia Indonesia 7 1.12%
9 image of flag of France France 7 1.12%
10 image of flag of Brazil Brazil 7 1.12%
    other countries 118 18.82%

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