A generalized Dynamic Overflow Risk Assessment (DORA) for urban drainage RTC

Luca Vezzaro, Morten Grum

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    An innovative generalized approach for integrated real time control of urban drainage systems is presented. The Dynamic Overflow Risk Assessment (DORA) strategy tries to minimize the expected overflow risk by considering (i) the water volume presently stored in the drainage network, (ii) the expected runoff volume (calculated by radar-based rainfall forecast models) and (iii) the estimated uncertainty of the runoff forecasts. The inclusion of uncertainty allows a more
    confident use of Real Time Control (RTC). Overflow risk is calculated by a flexible function which allows prioritization of the discharge points according to their sensitivity. DORA was tested on an example inspired by a catchment in the city of Aarhus (Denmark). By using a simple conceptual model, a statistical
    analysis of the performance of DORA was performed. Compared to a traditional local control approach, DORA contributed to reduce Combined Sewer Overflow
    loads and to optimize the flow discharged to the wastewater treatment plant. Also, the inclusion of forecasts and their uncertainty contributed to further improve the performance of drainage systems. The results of this paper will contribute to a wider usage of global RTC methods in the management of urban drainage
    Original languageEnglish
    Title of host publicationUrban Drainage Modelling : Proceedings of the Ninth International Conference on Urban Drainage Modelling, Belgrade, Serbia, 4-6 September 2012
    Number of pages11
    PublisherUniversity of Belgrade
    Publication date2012
    ISBN (Print)978-86-7518-156-9
    Publication statusPublished - 2012
    Event9th International Conference on Urban Drainage Modelling - Belgrade, Serbia
    Duration: 4 Sept 20126 Sept 2012


    Conference9th International Conference on Urban Drainage Modelling
    Internet address


    • Integrated urban water management
    • Model predictive control
    • Overflow risk
    • Real time control
    • Uncertainty


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