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Cost Effective Neural Technique for Alleviation of Urban Flood Risk

Deliverables

Data Management Plan

The USFD will produce a Data Management Plan to describe how the data produced during the testing of CENTAUR will be generated, quality checked, organised and preserved. It will contain policies on accessibility, standards for collection and curation, and its preservation. The plan will also contain a policy on when data can be considered “confidential”. This policy will be agreed by all partners and will be consistent with the Collaboration Agreement. The plan will follow the EU “Guidelines on Data Management in Horizon2020”.

CENTAUR Communication Plan

A comprehensive communication plan will be created at the start of the project to provide a strategy to communicate with three key groups; potential end users of CENTAUR, technical experts (engineers/academic researchers) and the general public. This plan will contain actions, targets and responsibilities along with a method for monitoring progress. This deliverable is based on the activities in Task 4.1. Its contents will be periodically reviewed and revised in necessary as the project develops.

Report on initial strategy for CENTAUR system deployment in Coimbra

A report detailing the initial strategy for pilot CENTAUR system deployment in the Coimbra network

Report on redundancy and impacts of data uncertainty and likely benefits of CENTAUR following virtual study

Report on redundancy, impacts of data uncertainty and quantification of benefits of a functional pilot CENTAUR system

Report on the CENTAUR installed in Coimbra

The Centaur pilot system will be installed in a sewer network in Coimbra. The installation process will be closely recorded. A report describing the experiences obtained during the CENTAUR installation in Coimbra so as to learn lessons for future installations will form this deliverable. It will be associated with the activities in Task 3.1.

Report on the performance of the pilot CENTAUR and recommendations

The report will describe the reduction in flood risk achieved based on observations during the monitoring of the pilot Centaur system and the modelling results from UoC. Staff from UoC/AG will report on the maintenance requirements of the system USFD will report on the ability of CENTAUR to ‘self-learn’ in the field. Recommendations for future work based on these experiences will be made. This deliverable will be based on the activities carried out in Task 3.2.

CENTAUR Web Site

A CENTAUR project website will be created providing details of the network partners, an outline of the research program, details of project outputs and trial results. The website will be aimed at an external audience and will link with the partners’ websites. It will provide information to those outside the project who would have an interest in the final CENTAUR system, and those interested in the scientific and technological studies carried out to deliver CENTAUR.

Publications

A PARTICIPAÇÃO DA ÁGUAS DE COIMBRA NO PROJETO EUROPEU CENTAUR

Author(s): Paula, Telmo
Published in: Encontro Nacional de Entidades Gestoras (National Meeting of Water and Wastewater Utilities), Issue 1, 2017
Publisher: Encontro Nacional de Entidades Gestoras
DOI: 10.5281/zenodo.1065938

Developing and testing a Fuzzy Logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting

Author(s): Abdel-Aal, Mohamad; Shepherd, Will; Ostojin, Sonja; Mounce, Stephen; Shucksmith, James; Schellart, Alma; Skipworth, Pete; Steinhardt, Joerg; Tait, Simon
Published in: Proceedings of 14th IWA / IAHR International Conference on Urban Drainage (ICUD2017), Issue 1, 2017
Publisher: IWA / IAHR
DOI: 10.5281/zenodo.890882

Optimising a Fuzzy Logic Real-Time Control System for Sewer Flooding Reduction using a Genetic Algorithm

Author(s): Shepherd, W.; Mounce, S.R.; Ostojin, S.; Abdel-Aal, M.; Schellart, A.; Skipworth, P.; Tait, S.
Published in: 15th International Computing & Control for the Water Industry Conference, Issue 1, 2017
Publisher: Figshare
DOI: 10.15131/shef.data.5363572.v1

CENTAUR: Smart Utilisation of Wastewater storage capacity to prevent flooding

Author(s): Ostojin, Sonja; Shepherd, Will; Williams, Kieran; Simões, Nuno; Steinhardt, Joerg
Published in: CIWEM Urban Drainage Group Autumn Conference & Exhibition 2017 (CIWEM UDG 2017),, 2017
Publisher: CIWEM
DOI: 10.5281/zenodo.1051200

Real time flow control to utilise existing in-sewer storage

Author(s): Maluf, L.; Shepherd, W.; Ostojin, S.; Simões, N.; Sá Marques, A.; Mounce, S.; Skipworth, P.; Leitão, J.P.
Published in: 14th IWA / IAHR International Conference on Urban Drainage (ICUD2017), 2017
Publisher: IWA / IAHR
DOI: 10.5281/zenodo.891133

Alleviating The Risk of Sewer Flooding using Fuzzy Logic in a Real Time Control System – An Experimental Study

Author(s): Abdel-Aal, Mohamad; Shepherd, Will; Mounce, Stephen; Ostojin, Sonja; Schellart, Alma; Shucksmith, James; Skipworth, Peter; Tait, Simon
Published in: Proceedings of 8th International Conference on Sewer Processes and Networks, Issue 1, 2016
Publisher: Sewer Systems & Processes Working Group of the IWA – IAHR Joint Committee on Urban Drainage
DOI: 10.5281/zenodo.399119

CENTAUR: Real time flow control system for flood risk reduction

Author(s): Shepherd, W.J.; Ostojin, S.; Mounce, S.; Skipworth, P.; TAIT, S
Published in: CIWEM Urban Drainage Group Autumn Conference & Exhibition 2016, Issue 1, 2016
Publisher: CIWEM
DOI: 10.5281/zenodo.400969

Where to install flow control gates in order to maximise in sewer storage and reduce urban flood risk?

Author(s): Leitão, João P.; SOUSA, L.M.; Carbajal, Juan P.; Nuno E. Simões; Rieckermann, Jörg
Published in: Proceedings of Computing and Control for the Water Industry (CCWI2016), Issue 1, 2016
Publisher: IWC Conferences
DOI: 10.5281/zenodo.584104

Identifying the best locations to install flow control devices in sewer networks to enable in-sewer storage

Author(s): J.P. Leitão, J.P. Carbajal, J. Rieckermann, N.E. Simões, A. Sá Marques, L.M. de Sousa
Published in: Journal of Hydrology, Issue 556, 2018, Page(s) 371-383, ISSN 0022-1694
Publisher: Elsevier BV
DOI: 10.1016/j.jhydrol.2017.11.020

Appraisal of data-driven and mechanistic emulators of nonlinear simulators: The case of hydrodynamic urban drainage models

Author(s): Juan Pablo Carbajal, João Paulo Leitão, Carlo Albert, Jörg Rieckermann
Published in: Environmental Modelling & Software, Issue 92, 2017, Page(s) 17-27, ISSN 1364-8152
Publisher: Elsevier BV
DOI: 10.1016/j.envsoft.2017.02.006

Semi- vs. Fully-Distributed Urban Stormwater Models: Model Set Up and Comparison with Two Real Case Studies

Author(s): Rui Pina, Susana Ochoa-Rodriguez, Nuno Simões, Ana Mijic, Alfeu Marques, Čedo Maksimović
Published in: Water, Issue 8/2, 2016, Page(s) 58, ISSN 2073-4441
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/w8020058

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