Predictive risk modelling of real-world wastewater network incidents
Bailey, J; Keedwell, Edward; Kapelan, Zoran; et al.Djordjevic, Slobodan; Burton, C; Harris, E
Date: 1 September 2015
Article
Journal
Procedia Engineering
Publisher
Elsevier
Publisher DOI
Abstract
Due to growing pressure on wastewater network operators to deliver improved serviceability and lower costs to customers, there is a real need for greater understanding of the factors which influence incident rates, enabling effective prioritisation of proactive maintenance. This paper applies decision trees to investigate both static ...
Due to growing pressure on wastewater network operators to deliver improved serviceability and lower costs to customers, there is a real need for greater understanding of the factors which influence incident rates, enabling effective prioritisation of proactive maintenance. This paper applies decision trees to investigate both static factors, such as sewer material and diameter, and derived factors, such as sewer velocity, for the prediction of blockages on the network of Dŵr Cymru Welsh Water. The results obtained illustrate the effectiveness of the proposed approach when identifying important explanatory factors and predicting sewers that are likely to block.
Computer Science
Faculty of Environment, Science and Economy
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