Modeling the pH effect on sulfidogenesis inanaerobic sewer biofilm

Sharma, Keshab, Derlon, Nicolas, Hu, Shihu and Yuan, Zhiguo (2014) Modeling the pH effect on sulfidogenesis inanaerobic sewer biofilm. Water Research, 49 175-185. doi:10.1016/j.watres.2013.11.019

Author Sharma, Keshab
Derlon, Nicolas
Hu, Shihu
Yuan, Zhiguo
Title Modeling the pH effect on sulfidogenesis inanaerobic sewer biofilm
Journal name Water Research   Check publisher's open access policy
ISSN 0043-1354
Publication date 2014-02-01
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.watres.2013.11.019
Open Access Status Not yet assessed
Volume 49
Start page 175
End page 185
Total pages 11
Place of publication London, United Kingdom
Publisher I W A Publishing
Language eng
Subject 2312 Water Science and Technology
2311 Waste Management and Disposal
2310 Pollution
2302 Ecological Modelling
Abstract Wastewater pH affects the transfer of H2S from liquid to gas and hence impacts on the extent of odour and corrosion. Sewage pH may change significantly in sewer networks due to, for example, the fermentation of organic compounds, particularly when the hydraulic retention time is long, the discharge of trade wastes that are organic-rich or with extreme pH, and the intentional addition of alkali to raise the sewage pH. Such a variation of pH is expected to affect sulfate reduction by sewer biofilms. In this work, experimental studies were carried out to reveal the detailed effects of pH on sulfidogenesis by anaerobic sewer biofilms developed in a laboratory sewer reactor fed with real sewage, and the potential causes for the inhibitory effects observed under both high and low pH conditions. The data clearly showed that the sewer biofilm had the highest sulfate reduction rate at around neutral pH (6.5-7.5), and the activity decreased when pH was higher or lower. The data also suggested that the inhibiting effect at a higher pH is likely due to the inhibitory effects of free ammonia, while at a lower pH it is more likely due to the pH itself. An inhibition model formulated based on the above hypotheses was able to adequately describe the measured sulfide production rates under different pH levels and different free ammonia concentrations, as well as data previously reported in literature. The calibrated model was used to simulate sulfide production in a sewer network receiving alkali dosage. The model adequately predicted sulfide production in the network, which could not be achieved with a model not considering the pH effect.
Keyword Inhibition
Sewer biofilm
Sulfide production
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
Advanced Water Management Centre Publications
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
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