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Prediction of sulphide build-up in filled sewer pipes

Prediction of sulphide build-up in filled sewer pipes

Alani, Amir M., Faramarzi, Asaad, Mahmoodian, Mojtaba and Tee, Kong Fah ORCID: 0000-0003-3202-873X (2014) Prediction of sulphide build-up in filled sewer pipes. Environmental Technology, 35 (14). pp. 1721-1728. ISSN 0959-3330 (Print), 1479-487X (Online) (doi:

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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.

Item Type: Article
Uncontrolled Keywords: hydrogen sulphide, sewer pipe, sulphide build-up, evolutionary polynomial regression
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
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Last Modified: 15 Nov 2021 12:23

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