Developing And Testing A Fuzzy Logic Algorithm To Alleviate The Risk Of Flooding By Controlling A Flow Control Device In A Laboratory Setting

Mohamad Abdel-Aal, Will Shepherd, Sonja Ostojin, Stephen Mounce, James Shucksmith, Alma Schellart, Pete Skipworth, Joerg Steinhardt, Simon Tait

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The aim of the CENTAUR project (Cost Effective Neural Technique for Alleviation of Urban flood Risk) is to develop a low cost system that is able to mobilise unused distributed storage within sewer networks during rainfall events and so reduce local flood risk. The current system uses a Fuzzy Logic algorithm to regulate a flow control device to reduce the risk of downstream flooding in sewers by maximising the usage of existing upstream storage capacity. This paper presents results from a laboratory study using a full scale pilot system and work undertaken to refine and prove the methodology before implementation in a sewer network. CENTAUR is an Innovation action funded by European Union’s (EU) Horizon 2020 research and innovation programme under grant agreement No 641931.
Original languageEnglish
Title of host publication14th IWA / IAHR International Conference on Urban Drainage
PublisherZenodo
Number of pages8
DOIs
Publication statusPublished - 11 Sep 2017
Event14th IWA / IAHR International Conference on Urban Drainage - Prague, Czech Republic
Duration: 10 Sep 201715 Sep 2017
http://www.icud2017.org/

Conference

Conference14th IWA / IAHR International Conference on Urban Drainage
Abbreviated titleICUD 2017
CountryCzech Republic
CityPrague
Period10/09/1715/09/17
Internet address

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    Abdel-Aal, M., Shepherd, W., Ostojin, S., Mounce, S., Shucksmith, J., Schellart, A., Skipworth, P., Steinhardt, J., & Tait, S. (2017). Developing And Testing A Fuzzy Logic Algorithm To Alleviate The Risk Of Flooding By Controlling A Flow Control Device In A Laboratory Setting. In 14th IWA / IAHR International Conference on Urban Drainage Zenodo. https://doi.org/10.5281/ZENODO.890882