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:https://doi.org/10.1080/09593330.2014.881403)

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Abstract

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)
Related URLs:	Publisher
Last Modified:	15 Nov 2021 12:23
URI:	http://gala.gre.ac.uk/id/eprint/11212

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