Urban Flood Modeling of a Partially Separated and Combined Drainage System in the Grefsen Basin in Oslo, Norway

IF 1.2 Q4 WATER RESOURCES Journal of Water Management Modeling Pub Date : 2022-01-01 DOI:10.14796/jwmm.c480
Hong Li, Hongkai Gao, Yanlai Zhou, I. Storteig, L. Nie, N. Sælthun, Chong-yu Xu
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引用次数: 1

Abstract

The Storm Water Management Model (SWMM) has been globally used for stormwater management. However, the calibration and evaluation of SWMM for historical rainfall–runoff events in partially separated and combined drainage systems is rarely reported in Norway. In this study, we employed SWMM for the Grefsen catchment in Oslo, Norway. The main problem in the Grefsen basin is combined sewer overflow. We calibrated the model parameters based on 32 rainfall–runoff events and evaluated the calibrations using four indicators: Nash–Sutcliffe efficiency, percentage bias, and continuity errors for runoff and flow. There were 32 successful calibrations using Nash–Sutcliffe efficiency, 30 successful calibrations using percentage bias, 32 successful calibrations using continuity error runoff, and four successful calibrations using continuity error flow. SWMM can well simulate the dynamics of hydrological and hydraulic systems in this catchment. Among the 124 validations, there were 88 successful simulations using Nash–Sutcliffe efficiency, 35 successful simulations using percentage bias, 124 successful simulations using continuity error for runoff, and 62 successful simulations using continuity error for flow. The results show that percentage bias and continuity error flow are the critical indicators for model calibration. This study reveals the large uncertainty caused by calibration and validation criteria, and highlights the importance of considering model computation error.
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挪威奥斯陆Grefsen盆地部分分离和联合排水系统的城市洪水模拟
雨水管理模式(SWMM)已在全球范围内用于雨水管理。然而,挪威很少报道SWMM对部分分离和合并的排水系统中历史降雨径流事件的校准和评估。在这项研究中,我们在挪威奥斯陆的Grefsen流域采用了SWMM。Grefsen流域的主要问题是联合下水道溢流。我们基于32个降雨径流事件校准了模型参数,并使用四个指标对校准进行了评估:纳什-苏特克利夫效率、百分比偏差和径流和流量的连续性误差。使用Nash-Sutcliffe效率进行了32次成功校准,使用百分比偏差进行了30次成功校准,使用连续误差径流进行了32次成功校准,使用连续误差流进行了4次成功校准。SWMM可以很好地模拟该流域水文和水力系统的动态。在124次验证中,使用Nash-Sutcliffe效率的模拟成功88次,使用百分比偏差的模拟成功35次,使用径流连续误差的模拟成功124次,使用流量连续误差的模拟成功62次。结果表明,百分比偏差和连续误差流是模型标定的关键指标。该研究揭示了标定和验证准则带来的巨大不确定性,并强调了考虑模型计算误差的重要性。
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CiteScore
1.30
自引率
0.00%
发文量
8
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