Influence of Rainfall, Model Parameters and Routing Methods on Stormwater Modelling

Yongwei Gong, Xiaoning Li, Dandan Zhai, Dingkun Yin, Ruining Song, Junqi Li (), Xing Fang and Donghai Yuan
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Yongwei Gong: Beijing University of Civil Engineering and Architecture
Xiaoning Li: Auburn University
Dandan Zhai: China Water Environment Group Limited
Dingkun Yin: Beijing University of Civil Engineering and Architecture
Ruining Song: Beijing University of Civil Engineering and Architecture
Junqi Li: Beijing University of Civil Engineering and Architecture
Xing Fang: Auburn University
Donghai Yuan: Beijing University of Civil Engineering and Architecture

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2018, vol. 32, issue 2, No 21, 735-750

Abstract: Abstract Quantification of the uncertainty associated with stormwater models should be analyzed before using modelling results to make decisions on urban stormwater control and management programs. In this study, the InfoWorks Integrated Catchment Modelling (ICM) rainfall-runoff model was used to simulate hydrographs at the outfall of a catchment (drainage area 8.3 ha, with 95% pervious areas) in Shenzhen, China. The model was calibrated and validated for two rainfall events with Nash-Sutcliffe efficiency >0.81. The influence of rainfall, model parameters and routing methods on outflow hydrograph of the catchment was systematically studied. The influence of rainfall was analyzed using generated rainfall distributions with random errors and systematic errors (± 30% offsets). Random errors had less influence than systematic errors on peak flow and runoff volume, especially for two rainfall events with larger depths and longer durations. The Monte Carlo simulations using 500 parameter sets were used to verify the equifinality of the nine model parameters and determine the prediction uncertainty. Most of the monitored flows were within the uncertainty range. The influence of two routing methods from rainfall excess to hydrograph was studied. The InfoWorks ICM model incorporating double quasilinear reservoir routing was found to have a larger effect on the simulated hydrographs for rainfall events having larger depths and longer durations than using the U.S. EPA’s Storm Water Management Model nonlinear reservoir routing method did.

Keywords: Uncertainty analysis; Rainfall–runoff model; InfoWorks ICM; Random errors; Systematic errors; Routing methods uncertainty (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11269-017-1836-x

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