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Toxicity of ammonia to algae in sewage oxidation ponds

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Abeliovich, A, Azov, Y·1976·Applied and Environmental Microbiology

Abstract

Ammonia, at concentrations over 2.0 mM and at pH values over 8.0, inhibits photosynthesis and growth of Scenedesmus obliquus, a dominant species in high-rate sewage oxidation ponds. Photosynthesis of Chlorella pyrenoidosa, Anacystis nidulans, and Plectonema boryanum is also susceptible to ammonia inhibition. Dark respiration and cell morphology were unaffected by any combination of pH and ammonia concentrations tested, thus limiting the apparent effect to inhibition of the normal function of the chloroplasts. Methylamine had the same effect as ammonia, and its penetration into the cells was found to be pH dependent. Therefore, the dependence of toxicity of amines to algae on pH apparently results from the inability to penetrate the cell membrane in the ionized form. When operated at 120-h detention time of raw wastewater, the high-rate oxidation pond maintained a steady state with respect to algal growth and oxygen concentration, and the concentration of ammonia did not exceed 1.0 mM. Shifting the pond to 48-h detention time caused an increase in ammonia concentration in the pond water to 2.5 mM, and the pond gradually turned anaerobic. Photosynthesis, which usually elevates the pH of the pond water to 9.0 to 10.0, could not proceed beyond pH 7.9 because of the high concentration of ammonia, and the algal population was washed out and reduced to a concentration that could maintain a doubling time of 48 h without photosynthesis bringing the pH to inhibitory levels. Under these conditions, the pH of the bond becomes a factor that limits the operational efficiency of the oxidation pond.

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Crossref · 10.1128/aem.31.6.801-806.1976

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Metadata

Authors
Abeliovich, A., & Azov, Y.
Venue
Applied and Environmental Microbiology
Published
1976-06
Volume
31
Issue
6
Pages
801-806
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
OpenAlex
W1487192729
Cited by
286
References
0
FWCI
7.03
Type
journal article
Language
en
Open access
green

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