The Use of Telemetry Data for the Identification of Issues at Combined Sewer Overflows. (2016)

• Record Type: Journal Article
• Authors: Bailey, James; Harris, Emma; Keedwell, Edward; Djordjevic, Slobodan; Kapelan, Zoran
• Is Part Of: Procedia engineering. Volume 154(2016)
• Page Start: 1201
• Page End: 1208
• Publication Date: 2016
• Subjects: Wastewater -- CSO -- ANN -- Blockage -- Detection; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2016.07.524
• Languages: English
• ISSNs: 1877-7058

Abstract

Abstract: Issues at Combined Sewer Overflows (CSOs) affect water and sewerage companies' serviceability performance, can result in environmental impacts through discharges to watercourses, which can incur large costs due to financial penalties for pollution incidents. There is increasing telemetry coverage at CSOs, increasing the availability of data regarding asset performance. This paper presents the application of Artificial Neural Networks (ANNs) to the telemetry data of Dŵr Cymru Welsh Water, alongside RADAR rainfall data, to predict level and provide the identification of issues at CSOs.