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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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RESEARCH ON OPTIMISING METHODS FOR COMBATING CYANOBACTERIA IN FISH PONDS

Authors: RADU, Silvia; DOBROTĂ, Nicoleta Georgeta; COSTACHE, Mioara; MARICA, Nino; DOBROTĂ, Gheorghe; DELIU, Mădălina Georgiana; Arcade, Mariana Cristina; +4 Authors

RESEARCH ON OPTIMISING METHODS FOR COMBATING CYANOBACTERIA IN FISH PONDS

Abstract

Cyanobacterial blooms are a major problem for aquatic ecosystems and fish farming activities, affecting water quality and the health of organisms. This paper compares the effectiveness of three control methods applied in experimental fish ponds: chemical treatment with copper sulphate, treatment with hydrogen peroxide, and an ecological method based on the use of barley straw. Over a period of eight weeks (June-August 2025), the physical and chemical indicators of the water, the concentration of chlorophyll a, and the density of cyanobacteria were analysed in four ponds with a history of algal blooms, namely cyanobacteria. The results show that hydrogen peroxide (5 mg/l) significantly reduced cyanobacterial biomass (p<0.05) without major negative effects on other parameters, while copper sulphate had a rapid but temporary effect. Barley straw showed moderate effectiveness, with slow but favorable effects on maintaining ecological balance.

Keywords

algae, Ecological assessment, Cyanobacteria

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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!
0
Average
Average
Average