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

Version 2 2024-06-05, 04:29
Version 1 2023-10-26, 04:18
journal contribution
posted on 2024-06-05, 04:29 authored by N Marleni, K Park, T Lee, D Navaratna, L Shu, V Jegatheesan, N Pham, A Feliciano
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.

History

Journal

Desalination and water treatment

Volume

54

Pagination

1308-1317

Location

Abingdon, Eng.

ISSN

1944-3994

eISSN

1944-3986

Language

eng

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2015, Taylor & Francis

Issue

4-5

Publisher

Taylor & Francis