A methodology for simulating hydrogen sulphide generation in sewer network using EPA SWMM

Marleni, Nyoman, Park, Kyoohong, Lee, Taehoon, Navaratna, Dimuth, Shu, Li, Jegatheesan, Veeriah, Pham, Nam and Feliciano, Antonio 2015, A methodology for simulating hydrogen sulphide generation in sewer network using EPA SWMM, Desalination and water treatment, vol. 54, no. 4-5, pp. 1308-1317, doi: 10.1080/19443994.2014.922899.

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Title A methodology for simulating hydrogen sulphide generation in sewer network using EPA SWMM
Author(s) Marleni, Nyoman
Park, Kyoohong
Lee, Taehoon
Navaratna, Dimuth
Shu, Li
Jegatheesan, Veeriah
Pham, Nam
Feliciano, Antonio
Journal name Desalination and water treatment
Volume number 54
Issue number 4-5
Start page 1308
End page 1317
Total pages 10
Publisher Taylor & Francis
Place of publication Abingdon, Eng.
Publication date 2015-01
ISSN 1944-3994
Keyword(s) Chemical addition
Hydrogen sulphide
Sewer network
Summary Predicting hydrogen sulphide concentration in sewer network through modelling tools will be beneficial for many stakeholders to design appropriate mitigation strategies. However, the hydrogen sulphide modelling in a sewer network is crucially dependent on the hydraulic modelling of the sewer. The establishment of precise hydrogen sulphide and hydraulic modelling however requires detailed and accurate information about the sewer network structure and the model parameters. This paper outlines a novel approach for the development of hydraulic and hydrogen sulphide modelling to predict the concentration of hydrogen sulphide in sewer network. The approach combines the calculation of wastewater generation and implementation of flow routing on the EPA SWMM 5.0 platform to allow hydrodynamic simulations. Dynamic wave routing is used for hydraulic simulations. It is considered to be the best approach to route existing/old sewer flow. The build-up of hydrogen sulphide model includes the empirical models of hydrogen sulphide generation and emission. Trial of the model was conducted to simulate a sewer network in Seoul, South Korea with some hypothetical data. Further analysis on the use of chemical dosing on the sewer pipe was also performed by the model. Promising results have been obtained through the model, however calibration and validation of the model is required. The presented methodology provides a possibility of the free platform SWMM to be used as a prediction tool of hydrogen sulphide generation. © 2014 © 2014 Balaban Desalination Publications. All rights reserved.
Language eng
DOI 10.1080/19443994.2014.922899
Field of Research 090404 Membrane and Separation Technologies
090508 Water Quality Engineering
090407 Process Control and Simulation
Socio Economic Objective 829803 Management of Liquid Waste from Plant Production (excl. Water)
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Taylor & Francis
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070550

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