Sewer modelling based on highly distributed calibration data sets and multi-objective auto-calibration schemes

Muschalla, Dirk; Schneider, Silke; Schröter, Kai; Gamerith, Valentin; Gruber, Günter

doi:10.2166/wst.2008.305

Cited by 20 publications

(15 citation statements)

References 8 publications

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“…Urban flood studies have normally been conducted using municipal sewer data with a 1D model (Muschalla et al, 2008). Such 1D modelling would predict the manholes in an urban drainage system that might flood (Mascarenhas & Miguez, 2002).…”

Section: D and 2d Flood Modelsmentioning

confidence: 99%

Courtyard-level sewer data-enhanced two-dimensional hydraulic model for urban flood hazard assessment in Kunming, China

Xie

Cai

et al. 2014

Water Policy

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This paper describes a study of urban flooding in downtown Kunming, China, simulating a major flood event that occurred in July 2008 using an improved two-dimensional (2D) hydraulic model enhanced with courtyardlevel sewer data (CLSD). Although municipal authorities are not responsible for 'private' courtyard sewers, available records were specifically added to this model, enhancing its accuracy and usefulness. Geographic information system (GIS) flood maps, a mapping overlay approach and statistical method compared both predicted results and the recorded flood area. A statistical method also provided a measure of the correlation between the extent of the predicted flood areas and recorded flood areas (parameter 'F'). Results of the improved 2D/CLSD model showed a correlation value for F of 51, 32.6% higher than the basic one-dimensional municipal-level sewer data (1D/MLSD) model; 26.2% higher than an interim version of the model that included a 2D ground surface (2D/MLSD). The 2D/CLSD model predicted flooding in 10 of the 12 courtyards with observed flooding. This was a major improvement over the 1D/MLSD model (three out of 12) and the 2D/MLSD model (five out of 12). Thus a CLSD-enhanced 2D hydraulic model potentially improves accuracy in predicting, mapping and understanding flood risk in urban areas.

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Section: D and 2d Flood Modelsmentioning

confidence: 99%

Courtyard-level sewer data-enhanced two-dimensional hydraulic model for urban flood hazard assessment in Kunming, China

Xie

Cai

et al. 2014

Water Policy

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“…5,7,8 In the area of wastewater treatment facilities, discrete-event simulation have been applied repeatedly to estimate capacities, analyze and balance effluent water flows, and improve overall performance measures. [9][10][11][12][13][14] Ceric and Hlupic 15 used simulation to model a solid waste-processing system that is to be installed in Zagreb, Croatia. Printemps et al 16 utilized simulation to develop a simplified mathematical tool that is able to reproduce and anticipate the behavior of certain wastewater treatment plant discussed in their study.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and management of a sewage pit through discrete-event simulation

Aleisa

AlAhmad

Taha³

2011

SIMULATION

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This paper reports two discrete-event simulation studies to model the activities of a residential waste treatment facility and prepare it to accept additional wastewaters through tanker trucks. The first simulation study models the wastewater treatment facility to ensure its ability to handle the planned added capacity arriving through the pit, while the second study simulates various managerial strategies to handle the traffic, testing, and unload procedures of tanker trucks arriving at the facility. The simulation models were statistically validated and the outcomes of the study were implemented in reality. The wastewater treatment facility extension suggested by this study was implemented and launched in mid 2008 to accept residential wastewater tanker trucks. This has saved the environment over 6,000 m 3 daily from being dumped into the open unlined terrestrial landfills. Simulation proved to be an excellent tool in the facility planning effort, as it ensured smooth flow lines of tanker truck load discharge and the best utilization of facilities on site.

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“…For example, Muschalla et al [4] calibrated a buildup/wash-off A refinement of the exponential wash-off equation by incorporating stochastic fluctuations is analyzed by Daly et al [19]. Here, the coefficient dominating the wash-off process is assumed to be random and consequently addressed by adding Gaussian noise.…”

Section: Introductionmentioning

confidence: 99%

Distribution-Based Calibration of a Stormwater Quality Model

Leutnant

Muschalla

Uhl

2018

Water

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Stormwater quality models are usually calibrated using observed pollutographs. As current models still rely on simplified model concepts for pollutant accumulation and wash-off, calibration results for continuous pollutant concentrations are highly uncertain. In this paper, we introduce an innovative calibration approach based on total suspended solids (TSS) event load distribution. The approach is applied on stormwater quality models for a flat roof and a parking lot for which reliable distributions are available. Exponential functions are employed for both TSS buildup and wash-off. Model parameters are calibrated by means of an evolutionary algorithm to minimize the distance between a parameterized lognormal distribution function and the cumulated distribution of simulated TSS event loads. Since TSS event load characteristics are probabilistically considered, the approach especially respects the stochasticity of TSS buildup and wash-off and, therefore, improves conventional stormwater quality calibration concepts. The results show that both experimental models were calibrated with high goodness-of-fit (Kolmogorov-Smirnov test statistic: 0.05). However, it is shown that events with high TSS event loads (>0.8 percentile) are generally underestimated. While this leads to a relative deviation of −28% of total TSS loads for the parking lot, the error is compensated for the flat roof (+5%). Calibrated model parameters generally tend to generate wash-off proportional to runoff, which is indicated by mass-volume curves. The approach itself is, in general, applicable and creates a new opportunity to calibrate stormwater quality models especially when calibration data is limited.

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Sewer modelling based on highly distributed calibration data sets and multi-objective auto-calibration schemes

Cited by 20 publications

References 8 publications

Courtyard-level sewer data-enhanced two-dimensional hydraulic model for urban flood hazard assessment in Kunming, China

Courtyard-level sewer data-enhanced two-dimensional hydraulic model for urban flood hazard assessment in Kunming, China

Design and management of a sewage pit through discrete-event simulation

Distribution-Based Calibration of a Stormwater Quality Model

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