Influence of Flow Velocity on Sulfide Production Within Filled Sewers

Holder, G. A.; Hauser, J.

doi:10.1061/(asce)0733-9372(1987)113:2(300)

Cited by 2 publications

(2 citation statements)

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“…[40] After considering all the three models, Pomeroy [8] noted that more information is needed on the effect of the stream velocity. Holder and Hauser [13] also concluded that further research is required to properly delineate the effect of flow velocity on the sulphide production rate. Recent works on sulphide build-up in sewer systems focus on dynamics and dynamic modelling of H 2 S production.…”

Section: Modelling Sulphide Build-up In Filled Pipesmentioning

confidence: 99%

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Prediction of sulphide build-up in filled sewer pipes

Alani¹,

Faramarzi²,

Mahmoodian³

et al. 2014

Environmental Technology

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Millions of dollars are being spent worldwide on the repair and maintenance of sewer networks and wastewater treatment plants. The production and emission of hydrogen sulphide has been identified as a major cause of corrosion and odour problems in sewer networks. Accurate prediction of sulphide build-up in a sewer system helps engineers and asset managers to appropriately formulate strategies for optimal sewer management and reliability analysis. This paper presents a novel methodology to model and predict the sulphide build-up for steady state condition in filled sewer pipes. The proposed model is developed using a novel data-driven technique called evolutionary polynomial regression (EPR) and it involves the most effective parameters in the sulphide build-up problem. EPR is a hybrid technique, combining genetic algorithm and least square. It is shown that the proposed model can provide a better prediction for the sulphide build-up as compared with conventional models.

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Section: Modelling Sulphide Build-up In Filled Pipesmentioning

confidence: 99%

“…The model by Boon & Lister [10] also does not consider stream velocity, which has been criticized by other researchers. [13] Recent studies focus on the dynamic change occurring in sewer systems. [12,14,15] In dynamic analysis, the concentration of sulphide is predicted as a function of location with temporal variations.…”

Section: Introductionmentioning

confidence: 99%