Measuring performance of low impact development practices for the surface runoff management

Yang, Wenlin; Brüggemann, Kurt; Seguya, Kiwanuka David; Ahmed, Ehtesham; Kaeseberg, Thomas; Dai, Heng; Hua, Pei; Zhang, Jin; Krebs, Peter

doi:10.1016/j.ese.2020.100010

Cited by 44 publications

(19 citation statements)

References 52 publications

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“…Moreover, the influence of the LID system on the sewerage network operation can be modelled. This enables optimization of the selection of appropriate solutions and their proper location [10,[69][70][71]. The technical assessment of LID practice in the management of surface runoff is also possible through long-term hydrological simulations, identification of optimal LID options via long-term feasibility analyses and assessment of LID influence on pollution reduction [70,72].…”

Section: Simplified Modelsmentioning

confidence: 99%

“…This enables optimization of the selection of appropriate solutions and their proper location [10,[69][70][71]. The technical assessment of LID practice in the management of surface runoff is also possible through long-term hydrological simulations, identification of optimal LID options via long-term feasibility analyses and assessment of LID influence on pollution reduction [70,72]. Generally, data driven models, based on machine learning, require significant collection of input data but allow relatively simple calibration and are faster in operation.…”

Section: Simplified Modelsmentioning

confidence: 99%

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Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments

Szeląg

Łagód

Musz-Pomorska

et al. 2022

Water

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Modelling of stormwater networks and the related object (combined sewer overflows, diversion chambers, retention tanks) is a complex task requiring colleting of data with appropriate time and spatial resolution as well as application of adequate models. Often there is a need to find balance between the costs of conducting measurement (period, resolution) and the uncertainty of the model results. This paper presents an overview of simulation tools for sewerage networks modelling, related objects, as well as low-impact development (LID) systems in relation to the hydrodynamic and statistical models. Consecutive stages of data collection, sources of data uncertainty, limitations resulting from the adopted measurement methodology, as well as their influence on the simulation results and possible decision-making using the developed hydrodynamic or statistical model, are discussed. Attention is drawn to the optimization methods enabling reduction in the uncertainty of statistical models. The methods enabling the analysis of model uncertainty, as well as evaluation of its influence on the calculation results pertaining to stormwater hydrographs, retention tank capacity and combined sewers overflows, are also discussed. This is a very important aspect in terms of optimizing construction works in the sewerage network and designing their appropriate dimensions to achieve the assumed hydraulic effects.

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Section: Simplified Modelsmentioning

confidence: 99%

Section: Simplified Modelsmentioning

confidence: 99%

Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments

Szeląg

Łagód

Musz-Pomorska

et al. 2022

Water

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show abstract

“…This multi-event approach is quite popular in practice for the same kind of studies and used by various researchers using different hydrological and hydraulic models [35][36][37][38]. It was already successfully applied in the nearby sub-catchment for studies of low impact development practices [39].…”

Section: Model Calibrationmentioning

confidence: 99%

Urban Floods: Linking the Overloading of a Storm Water Sewer System to Precipitation Parameters

et al. 2020

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The lack and inefficiency of urban drainage systems, as well as extreme precipitation, can lead to system overloading and, therefore, an urban pluvial flood. The study brings insights into this phenomenon from the perspective of the statistical relationship between precipitation and flooding parameters. The paper investigates the possibility of predicting sewer overloading based on the characteristics of the upcoming rain event using the Storm Water Management Model (SWMM) and statistical methods. Additionally, it examines the influence of precipitation resolution on the model sensitivity regarding floods. The study is set in a small urban catchment in Dresden (Germany) with a separated stormwater sewer system (SWSS). The flood-event-based calibrated model runs with observed and designed heavy rain events of various sums, durations, and intensities. Afterward, the analysis focuses on precipitation and model overloading parameters (total flood volume, maximum flooding time and flow rate, and maximum nodal water depth) with pairwise correlation and multi-linear regression (MLR). The results indicate that it is possible to define a certain threshold (or range) for a few precipitation characteristics, which could lead to an urban flood, and fitting MLR can noticeably improve the predictability of the SWSS overloading parameters. The study concludes that design and observed rain events should be considered separately and that the resolution of the precipitation data (1/5/10 min) does not play a significant role in SWSS overloading.

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“…Application and validation of the SWMM model have been carried out in different parts of urban watersheds around the world [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36]. Many studies have shown that the SWMM model has reasonable accuracy when the model outcomes are calibrated and validated [16,17,34,[37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Efficient Urban Runoff Quantity and Quality Modelling Using SWMM Model and Field Data in an Urban Watershed of Tehran Metropolis

et al. 2022

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This study aims to calibrate and validate the EPA Storm Water Management Model from field measurements of rainfall and runoff, in order to simulate the rainfall-runoff process in an urban watershed of Tehran metropolis, Iran. During and after three significant storm events, the flow rates, total suspended solids (TSS), total phosphorus (TP), and total Kjeldahl nitrogen (TKN) concentrations were measured at the outlet of the catchment, and were used in the model calibration and validation process. The performance of the SWMM model was evaluated based on the statistical criteria, as well as graphical techniques. In this study, a local sensitivity analysis was carried out to identify the key model parameters, show that “the percentage of impervious surface in each subwatershed had the most effect on the model output”. Based on the analysis of the results, SWMM model calibration and validation can be judged as satisfactory, and the goodness-of-fit indices for simulating runoff quality and quantity are placed in acceptable ranges. The adjustment obtained for the variations in the measured and simulated flow rates, pollutograph concentrations, total pollutant load, peak concentration, and the event mean concentration (EMC) confirms the considerable predictive capability of the SWMM model when it is well calibrated by using field measurements.

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Measuring performance of low impact development practices for the surface runoff management

Cited by 44 publications

References 52 publications

Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments

Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments

Urban Floods: Linking the Overloading of a Storm Water Sewer System to Precipitation Parameters

Efficient Urban Runoff Quantity and Quality Modelling Using SWMM Model and Field Data in an Urban Watershed of Tehran Metropolis

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