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

Marleni, Ni Nyoman Nepi; Park, Kyoohong; Lee, Taehoon; Navaratna, Dimuth; Shu, Li; Jegatheesan, Veeriah; Pham, N.; Feliciano, Antonio J.

doi:10.1080/19443994.2014.922899

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…Other authors such as [28,29] considered an extension of the WATS model, proposing different equations for each of the processes that generate the sulfur cycle in a sanitation system. Nielsen et al [30] presented a hydraulic model that analyzes the generation and emission from equations previously developed by [22] and [3] to study the influence of chemical dosing. Recently, studies of H 2 S gas modeling with WATS have been presented by Vollertsen et al, 2015 [31], for a large area of the city of San Francisco.…”

Section: Introductionmentioning

confidence: 99%

Sanitation Network Sulfide Modeling as a Tool for Asset Management. The Case of the City of Murcia (Spain)

et al. 2020

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Hydrogen sulfide (H2S) generated in sewer networks induces corrosion which today constitutes the main cause of deterioration of concrete pipes. Information regarding the H2S concentration inside sewer networks, as well as its control and reduction, has become one of the most important concerns in sanitation systems management nowadays. Modeling sulfide dynamics is the key to understanding corrosion processes. A dynamic model (called EMU-SANETSUL) was developed to calculate the H2S concentration in both the water and the gas phases of the main sewers of the city of Murcia (Spain). The model was calibrated with data from field measurements taken from both the gas phase and wastewater. Samples were taken in the network from 2016 to 2019. The model achieved an accuracy index and error index in the ranges of 57% and 15%, respectively. Empirical equations of reaction are used, and calibration parameters are detailed. The code uses an explicit discretization technique, named the Discrete Volume Element Method (DVEM). A map with the annual average concentration of H2S at the gas phase inside each pipe of the simulated network is presented. Values are compared with the mechanical deterioration inventory from closed-circuit television (CCTV) inspections performed by the Municipal Sanitation Company of the city of Murcia (EMUASA). Mechanical deterioration of pipes has diverse causes, including corrosion of pipes by H2S. Sections with high H2S concentrations that match with mechanical wear can be considered susceptible to being prioritized when rehabilitation works are being planned. Therefore, H2S concentration modeling provides valuable information for asset management of the sewer network.

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Section: Introductionmentioning

confidence: 99%

Sanitation Network Sulfide Modeling as a Tool for Asset Management. The Case of the City of Murcia (Spain)

et al. 2020

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“…Inflow hydrographs are transferred from the upstream to the downstream end of a conduit with no delay or change of shape. This routing method is the simplest among the three routing methods mentioned above and it is more appropriate for preliminary analysis [27].…”

Section: The Storm Water Management Model (Swmm)mentioning

confidence: 99%

“…On the contrary, in old sewer networks, flow is considered unsteady and varied because of sediment accumulation and pipe corrosion. Consequently, dynamic wave routing is required [27].…”

Section: ∂A ∂Tmentioning

confidence: 99%

A Monte-Carlo-Based Method for the Optimal Placement and Operation Scheduling of Sewer Mining Units in Urban Wastewater Networks

Psarrou

Tsoukalas

Makropoulos

2018

Water

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Pressures on water resources, which have increased significantly nowadays mainly due to rapid urbanization, population growth and climate change impacts, necessitate the development of innovative wastewater treatment and reuse technologies. In this context, a mid-scale decentralized technology concerning wastewater reuse is that of sewer mining. It is based on extracting wastewater from a wastewater system, treating it on-site and producing recycled water applicable for non-potable uses. Despite the technology's considerable benefits, several challenges hinder its implementation. Sewer mining disturbs biochemical processes inside sewers and affects hydrogen sulfide build-up, resulting in odor, corrosion and health-related problems. In this study, a tool for optimal sewer mining unit placement aiming to minimize hydrogen sulfide production is presented. The Monte-Carlo method coupled with the Environmental Protection Agency's Storm Water Management Model (SWMM) is used to conduct multiple simulations of the network. The network's response when sewage is extracted from it is also examined. Additionally, the study deals with optimal pumping scheduling. The overall methodology is applied in a sewer network in Greece providing useful results. It can therefore assist in selecting appropriate locations for sewer mining implementation, with the focus on eliminating hydrogen sulfide-associated problems while simultaneously ensuring that higher water needs are satisfied.

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Sewer-mining: A water reuse option supporting circular economy, public service provision and entrepreneurship

Makropoulos

Rozos

Tsoukalas

et al. 2018

Journal of Environmental Management

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

Cited by 7 publications

References 5 publications

Sanitation Network Sulfide Modeling as a Tool for Asset Management. The Case of the City of Murcia (Spain)

Sanitation Network Sulfide Modeling as a Tool for Asset Management. The Case of the City of Murcia (Spain)

A Monte-Carlo-Based Method for the Optimal Placement and Operation Scheduling of Sewer Mining Units in Urban Wastewater Networks

Sewer-mining: A water reuse option supporting circular economy, public service provision and entrepreneurship

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