Dynamics and dynamic modelling of H(2)S production in sewer systems

Sharma, Keshab Raj, Yuan, Zhiguo, de Haas, David, Hamilton, Geoff, Corrie, Shaun and Keller, Jurg (2008) Dynamics and dynamic modelling of H(2)S production in sewer systems. Water Research, 42 10-11: 2527-2538. doi:10.1016/j.watres.2008.02.013

Author Sharma, Keshab Raj
Yuan, Zhiguo
de Haas, David
Hamilton, Geoff
Corrie, Shaun
Keller, Jurg
Title Dynamics and dynamic modelling of H(2)S production in sewer systems
Formatted title
Dynamics and dynamic modelling of H2S production in sewer systems

Journal name Water Research   Check publisher's open access policy
ISSN 0043-1354
Publication date 2008-05-01
Year available 2008
Sub-type Article (original research)
DOI 10.1016/j.watres.2008.02.013
Open Access Status Not yet assessed
Volume 42
Issue 10-11
Start page 2527
End page 2538
Total pages 12
Place of publication Kidlington, Oxford, UK
Publisher Pergamon - Elsevier Science
Language eng
Subject C1
9699 Other Environment
090409 Wastewater Treatment Processes
Abstract Accurate and reliable predictions of sulfide production in a sewer system greatly benefit formulation of appropriate strategies for optimal sewer management. Sewer systems, rising main systems in particular, are highly dynamic in terms of both flow and wastewater composition. In order to get an insight in sulfide production as a response to the dynamic changes in sewer conditions, several measurement campaigns were conducted in two rising mains in Gold Coast, Australia. The levels of various sulfur species and volatile fatty acids (VFAs) were monitored through hourly sampling for periods ranging from 8 to 29 h. The results of these field studies showed large temporal as well as spatial variations in sulfide generation. A dynamic sewer model taking into account the hydraulics and the biochemical transformation processes was formulated and calibrated and validated using the data collected during the four measurement campaigns at the two sites. The model was demonstrated to reasonably well describe the temporal and spatial variations in sulfide, sulfate and VFA concentrations. Application of the model was illustrated with a case study aimed to optimize oxygen injection to one of the two mains studied, which is being used as a means to control sulfide production on this site. The model predicted that, moving the current oxygen injection point to a location close to the end of the sewer line could achieve the same degree of sulfide control with only 50% of the current oxygen use. This study highlighted that the location at which oxygen is injected plays a major role in sulfide control and a dynamic model could be used to make a proper choice of the location.
Keyword Dynamic modelling
Rising main
Sewer modelling
Sewer management
Sulfide control
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
Advanced Water Management Centre Publications
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Citation counts: TR Web of Science Citation Count  Cited 74 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 73 times in Scopus Article | Citations
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Created: Sat, 28 Mar 2009, 22:03:10 EST by Suzanne Read on behalf of Advanced Water Management Centre