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Content archived on 2024-05-14

High performance rainfall radar image processing for sewage systems control

Objective



The control of sewage and drainage systems of large cities is one of the highly critical problems that has to be solved in order to reduce pollution impact on the environment. The most difficult problem that limited the automatic control in this domain is the low level of descriptive information available on the system: the geographical distribution of rainfall can not be handled by the classic approaches based on rain gauges, and only the main pipes and components of a sewage system are known by operators. Therefore deterministic modelling is impossible in practise for the real-time control.

The recent emergence of new technologies using radar weather images and artificial neural networks modelling have demonstrated that significant improvement can be achieved. RADAR will implement a set of methods for forecasting flows based on radar images and on-line rain gauges, covering a large catchment area using a flexible high performance computing environment based on CapCASE++.

The main benefit for the users - to be demonstrated at three sewage treatment plants - will be a better management of critical rainfall situations by choosing the optimal management strategy, i.e. reducing CSO (Combined Sewer Overflows) events and increasing the stability of biological sewage treatment processes.

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EXC - Marie Curie actions-Chairs

Coordinator

Lyonnaise des Eaux - Citi
EU contribution
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Address
Rue Du Fonds Pernant 14
60471 Compiègne
France

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Participants (4)

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