scholarly journals Real-time forecasting urban drainage models: full or simplified networks?

2010 ◽  
Vol 62 (9) ◽  
pp. 2106-2114 ◽  
Author(s):  
J. P. Leitão ◽  
N. E. Simões ◽  
Č. Maksimović ◽  
F. Ferreira ◽  
D. Prodanović ◽  
...  

Lead time between rainfall prediction results and flood prediction results obtained by hydraulic simulations is one of the crucial factors in the implementation of real-time flood forecasting systems. Therefore, hydraulic simulation times must be as short as possible, with sufficient spatial and temporal flood distribution modelling accuracy. One of the ways to reduce the time required to run hydraulic model simulations is increasing computational speed by simplifying the model networks. This simplification can be conducted by removing and changing some secondary elements using network simplification techniques. The emphasis of this paper is to assess how the level of urban drainage network simplification influences the computational time and overall simulation results' accuracy. The models used in this paper comprise a sewer network and an overland flow drainage system in both 1D/1D and 1D/2D approaches. The 1D/1D model is used as the reference model to generate several models with different levels of simplifications. The results presented in this paper suggest that the 1D/2D models are not yet suitable to be used in real-time flood prediction applications due to long simulation time, while on the other hand, the simplified 1D/1D models show that considerable reductions in simulation time can be achieved without compromising simulation results (flow and water depth) accuracy.

1997 ◽  
Vol 36 (8-9) ◽  
pp. 19-24 ◽  
Author(s):  
Richard Norreys ◽  
Ian Cluckie

Conventional UDS models are mechanistic which though appropriate for design purposes are less well suited to real-time control because they are slow running, difficult to calibrate, difficult to re-calibrate in real time and have trouble handling noisy data. At Salford University a novel hybrid of dynamic and empirical modelling has been developed, to combine the speed of the empirical model with the ability to simulate complex and non-linear systems of the mechanistic/dynamic models. This paper details the ‘knowledge acquisition module’ software and how it has been applied to construct a model of a large urban drainage system. The paper goes on to detail how the model has been linked with real-time radar data inputs from the MARS c-band radar.


Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2647
Author(s):  
Esteban Sañudo ◽  
Luis Cea ◽  
Jerónimo Puertas

Dual urban drainage models allow users to simulate pluvial urban flooding by analysing the interaction between the sewer network (minor drainage system) and the overland flow (major drainage system). This work presents a free distribution dual drainage model linking the models Iber and Storm Water Management Model (SWMM), which are a 2D overland flow model and a 1D sewer network model, respectively. The linking methodology consists in a step by step calling process from Iber to a Dynamic-link Library (DLL) that contains the functions in which the SWMM code is split. The work involves the validation of the model in a simplified urban street, in a full-scale urban drainage physical model and in a real urban settlement. The three study cases have been carefully chosen to show and validate the main capabilities of the model. Therefore, the model is developed as a tool that considers the main hydrological and hydraulic processes during a rainfall event in an urban basin, allowing the user to plan, evaluate and design new or existing urban drainage systems in a realistic way.


2011 ◽  
Vol 15 (10) ◽  
pp. 3115-3122 ◽  
Author(s):  
R. Archetti ◽  
A. Bolognesi ◽  
A. Casadio ◽  
M. Maglionico

Abstract. The operating conditions of urban drainage networks during storm events depend on the hydraulic conveying capacity of conduits and also on downstream boundary conditions. This is particularly true in coastal areas where the level of the receiving water body is directly or indirectly affected by tidal or wave effects. In such cases, not just different rainfall conditions (varying intensity and duration), but also different sea-levels and their effects on the network operation should be considered. This paper aims to study the behaviour of a seaside town storm sewer network, estimating the threshold condition for flooding and proposing a simplified method to assess the urban flooding severity as a function of climate variables. The case study is a portion of the drainage system of Rimini (Italy), implemented and numerically modelled by means of InfoWorks CS code. The hydraulic simulation of the sewerage system identified the percentage of nodes of the drainage system where flooding is expected to occur. Combining these percentages with both climate variables' values has lead to the definition of charts representing the combined degree of risk "rainfall-sea level" for the drainage system under investigation. A final comparison between such charts and the results obtained from a one-year rainfall-sea level time series has demonstrated the reliability of the analysis.


2018 ◽  
Vol 15 (4) ◽  
pp. 362-370 ◽  
Author(s):  
Stefan Kroll ◽  
Alessio Fenu ◽  
Tom Wambecq ◽  
Marjoleine Weemaes ◽  
Jan Van Impe ◽  
...  

2020 ◽  
Author(s):  
Martin Oberascher ◽  
Carolina Kinzel ◽  
Martin Schöpf ◽  
Ulrich Kastlunger ◽  
Christoph Zingerle ◽  
...  

<p>In this work, the concept of the smart rain barrel (SRB) as an IoT solution for green infrastructure is presented. The SRB are real-time controlled micro-storages (200 litre) used for an advanced rainwater management. System states and high-resolution weather forecasts from the meteorological service are integrated into the control strategy to provide adequate rainwater for irrigation requirements and to reduce peak runoff in the drainage system. The integration into the smart water infrastructure and the exchange of control commands is done via LoRaWAN, a low-power radio network. For ease of development and to demonstrate the effectiveness of the SRB concept, a two-stage approach was chosen.</p><p>First, a prototype of the SRB was built, which is in operation at the university campus of Innsbruck (Austria) during the summer months since 2019. The campus area, also denoted Smart Campus, is part of a pilot project for a “Smart Water City”. This campus is used as both, demonstration object and experimental framework for smart applications in urban water management. The Smart Campus integrates water supply and urban drainage into a joint controlled system, in which natural and anthropogenic water inflows and outflows are measured in real-time. Current measurements encompass water consumptions and pressures in the distribution system, meteorological data at different locations, filling levels in the drainage system, as well as filling levels and soil moistures of decentralised stormwater retention and infiltration systems. The temporal resolution of the measurements is depending on the application between 1 and 15 minutes. By using these high-resolution measurement data, the Smart Campus is an ideal testing ground for smart applications such as the SRB.</p><p>In addition, numerical simulations were carried out to test different control strategies and to investigate the effects of a large-scale implementation of the SRBs at community level. The results show that the SRBs can significantly improve system performance (e.g. reduce potable drinking water demand and reduce the risk of flooding) despite their small storage volumes. But the results also demonstrate, that if a large number of SRBs are implemented, a coordinated control strategy to operate SRBs and urban water infrastructure is necessary to avoid a worsening of the system (e.g. generate a combined sewer overflow by simultaneous emptying the SRBs during dry weather flow).</p>


2015 ◽  
Author(s):  
S. Spina ◽  
L. Pancotto ◽  
G. Paris ◽  
F. Lombardo ◽  
S. Magnaldi ◽  
...  

Author(s):  
Luis Romero ◽  
Bernat Joseph-Duran ◽  
Congcong Sun ◽  
Jordi Meseguer ◽  
Gabriela Cembrano ◽  
...  

Abstract This paper presents a complete methodology for the development of an integrated software architecture, which can achieve a closed-loop application between the integrated real-time control (RTC) and a virtual reality simulation for the urban drainage system (UDS). Quality measurements are considered during the simulation and optimization process. Model predictive control (MPC) and rule-based control (RBC) are the two main RTC methods embedded in this architecture. The proposed integration environment allows the different software components to efficiently and effectively communicate and work in a system-wide way, as well as to execute all the necessary steps regarding input parameters management, scenario configuration and results extraction. The proposed approaches are implemented into a pilot based on the Badalona UDS (Spain). Results from different scenarios with individual control approaches and rain episodes are evaluated and discussed.


2011 ◽  
Vol 8 (2) ◽  
pp. 3793-3816 ◽  
Author(s):  
R. Archetti ◽  
A. Bolognesi ◽  
A. Casadio ◽  
M. Maglionico

Abstract. The operating conditions of urban drainage networks during storm events certainly depend on the hydraulic conveying capacity of conduits but also on downstream boundary conditions. This is particularly true in costal areas where the level of the receiving water body is directly or indirectly affected by tidal or wave effects. In such cases, not just different rainfall conditions (varying intensity and duration), but also different sea-levels and their effects on the network operation should be considered. This paper aims to study the behaviour of a seaside town storm sewer network, estimating the threshold condition for flooding and proposing a simplified method to assess the urban flooding severity as a function of either climate variables. The case study is a portion of the drainage system of Rimini (Italy), implemented and numerically modelled by means of InfoWorks CS code. The hydraulic simulation of the sewerage system has therefore allowed to identify the percentage of nodes of the drainage system where flooding is expected to occur. Combining these percentages with both climate variables values has lead to the definition charts representing the combined degree of risk "sea-rainfall" for the drainage system under investigation. A final comparison between such charts and the results obtained from a one-year sea-rainfall time series has confirmed the reliability of the analysis.


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