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Cost Effective Neural Technique for Alleviation of Urban Flood Risk

Cost Effective Neural Technique for Alleviation of Urban Flood Risk

Objective

The project will develop a radically new market ready approach to RTC of sewer networks with the aim of reducing local flood risk in urban areas. Existing RTC pilot projects (e.g. Vienna, Dresden, Aarhus) are characterised by complex sensor networks, linked to centralised control systems governed by calibrated hydrodynamic modelling tools and fed by radar rainfall technology. Such systems are expensive and complex to install and operate, requiring a high investment in new infrastructure, communication equipment and control systems. In contrast, this proposal will develop a novel low cost de-centralised, autonomous RTC system. It will be installed, tested and demonstrated in a number of pilot study catchments. This RTC system will utilise data driven distributed intelligence combined with local, low cost monitoring systems installed at key points within existing sewer infrastructure. The system will utilise mechanically simple, robust devices to control flow in order to reduce flood risk at vulnerable sites. This system will be informed and governed directly by sensors distributed within the local network, without the need for an expensive hydrodynamic model or real time rainfall measurements. This system will deliver many of the benefits of RTC systems, whilst avoiding the high costs and complex nature of extensive sensor networks, centralised control systems, communications systems and infrastructure modifications. It is anticipated that such a system will be of significant benefit to operators of small to medium sized sewer networks.
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Coordinator

THE UNIVERSITY OF SHEFFIELD

Address

Firth Court Western Bank
S10 2tn Sheffield

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 601 165

Participants (7)

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ENVIRONMENTAL MONITORING SOLUTIONS LIMITED

United Kingdom

EU Contribution

€ 813 793,75

VEOLIA WATER OUTSOURCING LIMITED

United Kingdom

UNIVERSIDADE DE COIMBRA

Portugal

EU Contribution

€ 351 847,50

AC AGUAS DE COIMBRA EM

Portugal

EU Contribution

€ 80 035,38

EIDGENOESSISCHE ANSTALT FUER WASSERVERSORGUNG ABWASSERREINIGUNG UND GEWAESSERSCHUTZ

Switzerland

STEINHARDT GMBH

Germany

EU Contribution

€ 341 512,50

VEOLIA EAU - COMPAGNIE GENERALE DES EAUX SOCIETE EN COMMANDITE PAR ACTIONS

France

EU Contribution

€ 360 041,50

Project information

Grant agreement ID: 641931

Status

Closed project

  • Start date

    1 September 2015

  • End date

    31 August 2018

Funded under:

H2020-EU.3.5.4.

  • Overall budget:

    € 3 532 121,25

  • EU contribution

    € 2 548 395,63

Coordinated by:

THE UNIVERSITY OF SHEFFIELD

United Kingdom

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