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Rapid formation of nitrifying granules treating high-strength ammonium wastewater in a sequencing batch reactor

Rapid formation of nitrifying granules treating high-strength ammonium wastewater in a sequencing batch reactor
Rapid formation of nitrifying granules treating high-strength ammonium wastewater in a sequencing batch reactor
Short initial settling time and rapidly increased ammonium nitrogen loading were employed to cultivate nitrifying granular sludge treating inorganic wastewater with 1000 mg/L ammonium nitrogen. It was found that the nitrifying granule-dominant sludge was formed in a sequencing batch reactor (SBR) with influent ammonium concentration increased from 200 to 1000 mg N/L within 55 days. During the following 155-day operation period, nitrifying granules exhibited good performance with an ammonium removal efficiency of 99 %. In the meantime, sludge volume index (SVI) decreased from 92 to 15 mL/g and the mean size of the nitrifying granules increased from 106 to 369 ?m. Mixed liquor suspended solids (MLSS) decreased from the initial 6.4 to around 3 g/L during the granulation period and increased to over 10 g/L at the end of the operation. The long-term stability of nitrifying granules and the reactor performance were not negatively affected by inhibition from free ammonia (FA) and free nitrous acid (FNA) in this study. This makes the granule sludge technology promising in treating high-strength ammonium wastewater in practice.
nitrifying granule, nitrification, free ammonia (FA), free nitrous acid (FNA), high-strength ammonium, stability, sequencing batch reactor (SBR)
0175-7598
4445-4452
Chen, Fang-Yuan
d4418376-0a6b-4f9e-a95b-77101bf50889
Liu, Yong-Qiang
75adc6f8-aa83-484e-9e87-6c8442e344fa
Tay, Joo-Hwa
1bd3ce87-355e-460f-835b-56cb81f3a1b0
Ning, Ping
fa5c5581-194f-4034-b25a-34f40dd30763
Chen, Fang-Yuan
d4418376-0a6b-4f9e-a95b-77101bf50889
Liu, Yong-Qiang
75adc6f8-aa83-484e-9e87-6c8442e344fa
Tay, Joo-Hwa
1bd3ce87-355e-460f-835b-56cb81f3a1b0
Ning, Ping
fa5c5581-194f-4034-b25a-34f40dd30763

Chen, Fang-Yuan, Liu, Yong-Qiang, Tay, Joo-Hwa and Ning, Ping (2015) Rapid formation of nitrifying granules treating high-strength ammonium wastewater in a sequencing batch reactor. Applied Microbiology and Biotechnology, 99 (10), 4445-4452. (doi:10.1007/s00253-014-6363-6).

Record type: Article

Abstract

Short initial settling time and rapidly increased ammonium nitrogen loading were employed to cultivate nitrifying granular sludge treating inorganic wastewater with 1000 mg/L ammonium nitrogen. It was found that the nitrifying granule-dominant sludge was formed in a sequencing batch reactor (SBR) with influent ammonium concentration increased from 200 to 1000 mg N/L within 55 days. During the following 155-day operation period, nitrifying granules exhibited good performance with an ammonium removal efficiency of 99 %. In the meantime, sludge volume index (SVI) decreased from 92 to 15 mL/g and the mean size of the nitrifying granules increased from 106 to 369 ?m. Mixed liquor suspended solids (MLSS) decreased from the initial 6.4 to around 3 g/L during the granulation period and increased to over 10 g/L at the end of the operation. The long-term stability of nitrifying granules and the reactor performance were not negatively affected by inhibition from free ammonia (FA) and free nitrous acid (FNA) in this study. This makes the granule sludge technology promising in treating high-strength ammonium wastewater in practice.

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More information

Accepted/In Press date: 24 December 2014
e-pub ahead of print date: 10 January 2015
Published date: 1 May 2015
Keywords: nitrifying granule, nitrification, free ammonia (FA), free nitrous acid (FNA), high-strength ammonium, stability, sequencing batch reactor (SBR)
Organisations: Water & Environmental Engineering Group

Identifiers

Local EPrints ID: 377702
URI: http://eprints.soton.ac.uk/id/eprint/377702
ISSN: 0175-7598
PURE UUID: 8723b04d-41f0-42b8-b3f9-225e23ebcaa3
ORCID for Yong-Qiang Liu: ORCID iD orcid.org/0000-0001-9688-1786

Catalogue record

Date deposited: 16 Jun 2015 09:04
Last modified: 15 Mar 2024 03:47

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Contributors

Author: Fang-Yuan Chen
Author: Yong-Qiang Liu ORCID iD
Author: Joo-Hwa Tay
Author: Ping Ning

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