Prediction of sulphide build-up in filled sewer pipes

Research output: Contribution to journalArticle

Authors

Colleges, School and Institutes

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.

Bibliographic note

cited By 5

Details

Original languageEnglish
Pages (from-to)1721-1728
Number of pages8
JournalEnvironmental Technology
Volume35
Issue number14
Publication statusPublished - 27 Feb 2014