890882
doi
10.5281/zenodo.890882
oai:zenodo.org:890882
user-eu
user-centaur
Shepherd, Will
University of Sheffield
Ostojin, Sonja
Environmental Monitoring Solutions
Mounce, Stephen
University of Sheffield
Shucksmith, James
University of Sheffield
Schellart, Alma
University of Sheffield
Skipworth, Pete
Environmental Monitoring Solutions
Steinhardt, Joerg
Steinhardt GmbH
Tait, Simon
University of Sheffield
Developing and testing a Fuzzy Logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting
Abdel-Aal, Mohamad
University of Sheffield
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
Flow Control
Fuzzy Logic
Urban Flood Risk Reduction
Real Time Control
Urban Drainage
Horizon 2020
<p>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.</p>
<p>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.</p>
<p>CENTAUR is an Innovation action funded by European Union’s (EU) Horizon 2020 research and innovation programme under grant agreement No 641931.</p>
Zenodo
2017-09-11
info:eu-repo/semantics/conferencePaper
890881
user-eu
user-centaur
award_title=Cost Effective Neural Technique for Alleviation of Urban Flood Risk; award_number=641931; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/641931; funder_id=00k4n6c32; funder_name=European Commission;
1579539047.022399
824895
md5:9260da9f5e2a37db2288ffcffb4697c9
https://zenodo.org/records/890882/files/ICUD-0198-Developing and testing a Fuzzy Logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting.pdf
public
10.5281/zenodo.890881
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doi