Semi-automated buildup and calibration of conceptual sewer models

Kröll, Stefan; Wambecq, T.; Weemaes, Marjoleine; Impe, Jan Van; Willems, Patrick

doi:10.1016/j.envsoft.2017.02.030

Cited by 16 publications

(12 citation statements)

References 16 publications

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“…In this study, it is assumed that the simulator represents the reality through "virtual reality" and the goal is to emulate it by focusing on inputs and outputs of interest. This assumption is the common practice in surrogate modelling (Kroll et al 2017). It is assumed that a detailed simulator is in hand which is already calibrated with the observed measurements.…”

Section: Case Study Simulatormentioning

confidence: 99%

A Hybrid Surrogate Modelling Strategy for Simplification of Detailed Urban Drainage Simulators

Mahmoodian

Carbajal

Bellos

et al. 2018

Water Resour Manage

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Urban drainage modelling typically requires development of highly detailed simulators due to the nature of various underlying surface and drainage processes, which makes them computationally too expensive. Application of such simulators is still challenging in activities such as real-time control (RTC), uncertainty quantification analysis or model calibration in which numerous simulations are required. The focus of this paper is to present a rather simple hybrid surrogate modelling (or emulation) strategy to simplify and accelerate a detailed urban drainage simulator (UDS). The proposed surrogate modelling strategy includes: a) identification of the variables to be emulated; b) development of a simplified conceptual model in which every component contributing to the variables identified in step (a) is replaced by a function; c) definition of these functions, either based on knowledge about the mechanisms of the simulator, or based on the data produced by the simulator; and finally, d) validation of the results produced by the surrogate model in comparison with the original detailed simulator. Herein, a detailed InfoWorks ICM simulator was selected for surrogate modelling. The case study area was a small urban drainage network in Luxembourg. An emulator was developed to map the rainfall time series, as input, to a storage tank volume and combined sewer overflow (CSO) in the case study network. The results showed that the introduced strategy provides a reliable method to simplify the simulator and reduce its run time significantly. For the specific case study, the emulator was approximately 1300 times faster than the original detailed simulator. For quantification of the emulation error, an ensemble of 500 rainfall scenarios with 1 month duration was generated by application of a multivariate autoregressive model for conditional simulation of rainfall time series. The results produced by the emulator were compared to the ones produced by the simulator. Finally, as an indicator of the emulation error, distributions of Nash-Sutcliffe efficiency (NSE) between the emulator and simulator results for prediction of storage tank volume and CSO flow time series were presented.

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Section: Case Study Simulatormentioning

confidence: 99%

A Hybrid Surrogate Modelling Strategy for Simplification of Detailed Urban Drainage Simulators

Mahmoodian

Carbajal

Bellos

et al. 2018

Water Resour Manage

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“…This allows incorporating the knowledge already available in the detailed model, thus not imposing a need for extensive collection of flow rate measurement data [7]. For some part of the conceptualization process, semi-automated model layout and calibration tools have been developed to speed up the process [1,16,17]. To the knowledge of the authors, the most complete guideline for conceptual modelling approaches is the Austrian guideline [18], which provides a very good overview of conceptual modelling concepts, including different aggregation strategies for various levels of lumping (available in German only).…”

Section: Introductionmentioning

confidence: 99%

“…To the knowledge of the authors, the most complete guideline for conceptual modelling approaches is the Austrian guideline [18], which provides a very good overview of conceptual modelling concepts, including different aggregation strategies for various levels of lumping (available in German only). But even given those tools, a significant amount of time and effort has to be spent developing a conceptual model [1,17]. It is therefore surprising that no general procedure exists to develop conceptualized catchment and sewer models from its detailed counterpart.…”

Section: Introductionmentioning

confidence: 99%

“…This research proposes an efficient and structured procedure to develop conceptual catchment and sewer models from their detailed counterpart (Section 3). The proposed procedure is not automated, but certain sub-steps, such as the development of the aggregated conceptual sewer model [17], could be automated. The conceptualization of special structures, such as pumping stations, retention tanks and flow diversion structures, is not part of the developed procedure, as a general approach to conceptualization is very difficult.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient and Structured Procedure to Develop Conceptual Catchment and Sewer Models from Their Detailed Counterparts

Ledergerber

Pieper

Binet

et al. 2019

Water

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Modelling flow rates in catchments and sewers with a conceptual, also known as hydrological, approach is widely applied if fast simulations are important. In cases where a detailed hydrodynamic model exists, it is common to start conceptualizing from this detailed counterpart. Unfortunately, no generalized procedure exists, which is surprising as this can be a complex and time-consuming task. This research work proposes a procedure that is validated with two independent combined sewer case studies. The conceptual models provide the targeted results with respect to representation of the flow rates and reduction in the computational time. As the desired performance could be reached for different levels of model aggregation, it is concluded that the conceptual model can be tailored to the points where accurate flow rates need to be predicted. Furthermore, the comparison of the conceptual model results with flow measurements highlights the importance of analyzing and eventually compensating for the limitations of the detailed model.

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“…Newly placed sluices are After the external bifurcations and control locations have been identified, the full delineations and all relevant properties of each subbasin (e.g., the number of people equivalents, storage characteristics, runoff surface area, etc.) are identified using the method proposed by [29].…”

mentioning

confidence: 99%

A Methodology for the Design of RTC Strategies for Combined Sewer Networks

Kröll

Weemaes

Impe

et al. 2018

Water

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While real-time control (RTC) is considered an established means of performance improvement for existing urban drainage networks, practical applications are frequently only documented for large case studies, and many operators are still reluctant to adopt RTC into their own systems. The purpose of the presented study is to highlight the potential of RTC also for smaller networks by the example of five representative catchments in Flanders, Belgium, and to demonstrate a novel methodology for the automated design of control strategies. This method analyses a given sewer network for the identification of suitable existing and new control locations. The gathered information is used in a second step for the design of control algorithms according to generic control concepts documented in the literature, such as e.g., “Equal Filling Degree”. The resulting RTC strategy uses sensible default parameters, and can form a starting point for further refinement through optimization or manual tuning. With a modelled total combined sewer overflow volume reduction of 20% to 50%, the created strategies showed generally good performance for the tested catchments. The method proved to be applicable for all tested networks. Its use for the real-life implementation of RTC is currently under way for 10 other Flemish cases.

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Semi-automated buildup and calibration of conceptual sewer models

Cited by 16 publications

References 16 publications

A Hybrid Surrogate Modelling Strategy for Simplification of Detailed Urban Drainage Simulators

A Hybrid Surrogate Modelling Strategy for Simplification of Detailed Urban Drainage Simulators

An Efficient and Structured Procedure to Develop Conceptual Catchment and Sewer Models from Their Detailed Counterparts

A Methodology for the Design of RTC Strategies for Combined Sewer Networks

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