A generalised Dynamic Overflow Risk Assessment (DORA) for Real Time Control of urban drainage systems

被引:46
作者
Vezzaro, Luca [1 ,2 ]
Grum, Morten [1 ]
机构
[1] Krilger AS, Veolia Water Technol, Soborg, Denmark
[2] Tech Univ Denmark, Dept Environm Engn DTU Environm, DK-2800 Lyngby, Denmark
关键词
Integrated urban water management; Overflow risk; Real-Time Control; Uncertainty; Radar-based flow forecast; Generalised approach; WASTE-WATER SYSTEMS; SEWER SYSTEM; CONTROL STRATEGY; FLOW PREDICTION; TREATMENT-PLANT; CONTROL RTC; CITY; RAINFALL; RIVER; IMPLEMENTATION;
D O I
10.1016/j.jhydrol.2014.05.019
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
An innovative and generalised approach to the integrated Real Time Control of urban drainage systems is presented. The Dynamic Overflow Risk Assessment (DORA) strategy aims to minimise the expected Combined Sewer Overflow (CSO) risk by considering (i) the water volume presently stored in the drainage network, (ii) the expected runoff volume (calculated by radar-based nowcast models) and most important - (iii) the estimated uncertainty of the runoff forecasts. The inclusion of uncertainty allows for a more confident use of Real Time Control (RTC). Overflow risk is calculated by a flexible function which allows for the prioritisation of the discharge points according to their sensitivity and intended use. DORA was tested on a hypothetical example inspired by the main catchment in the city of Aarhus (Denmark). An analysis of DORA's performance over a range of events with different return periods, using a simple conceptual model, is presented. Compared to a traditional local control approach, DORA contributed to reduce CSO volumes from the most sensitive points while reducing total CSO volumes discharged from the catchment. Additionally, the results show that the inclusion of forecasts and their uncertainty contributed to further improving the performance of drainage systems. The results of this paper will contribute to the wider usage of global RTC methods in the management of urban drainage networks. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:292 / 303
页数:12
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