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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
