Hydraulic river model calibration and validation for comprehensive hydrograph simulation: Evaluating accuracy across discharge ranges

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL
Parisa Khorsandi Kuhanestani, Anouk Bomers, Martijn J. Booij, Suzanne J.M.H. Hulscher
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Abstract

This study evaluates the performance of a hydraulic model across discharge ranges, including those outside the calibrated range, to assess its robustness beyond calibration conditions. Using the Differential Split-Sample Test (DSST), we systematically assessed the model’s ability to simulate water levels across different discharge ranges while calibrated for specific ranges. The application of the DSST method to hydraulic models introduces a structured framework for evaluating model performance across a wider range of discharge conditions, offering clearer insights into the role of discharge-related roughness calibration. A case study on a lowland river in the Netherlands, employing a two-dimensional depth-averaged (2D) hydraulic model, revealed both the strengths and limitations of 2D simulations with shallow water equations, especially under extreme flow conditions. The findings show that calibrating for moderate discharges yields reliable results for other moderate flows and performs better for extreme low discharges than for high ones. Calibration for low or moderate flows always results in Y-KGE values larger than 0.9 and a MAE less than 10 cm for all moderate and low flows. However, this is not the case for high flows in the validation. While model accuracy declines at the extremes high flows, this approach ensures reliable performance across a broad range of hydraulic conditions and highlights the need for gradual calibration for extreme high flows due to the significant variations in accuracy. Consequently, this approach aids water managers in optimizing resource allocation, predicting and mitigating flood risks, and supply across diverse discharge scenarios.
综合水文模拟的水力河流模型校准和验证:评估跨流量范围的准确性
本研究评估了一个水力模型在整个流量范围内的性能,包括那些超出校准范围的流量,以评估其在超出校准条件下的鲁棒性。使用差分分样测试(DSST),我们系统地评估了模型在不同排放范围内模拟水位的能力,同时对特定范围进行了校准。将DSST方法应用于水力模型,引入了一个结构化框架,可以在更大范围的流量条件下评估模型的性能,从而更清楚地了解与流量相关的粗糙度校准的作用。以荷兰的一条低地河流为例,采用二维深度平均(2D)水力模型,揭示了浅水方程二维模拟的优势和局限性,特别是在极端水流条件下。研究结果表明,中等流量的校准对其他中等流量的校准结果可靠,并且对极低流量的校准效果优于高流量。低流量或中等流量的校准总是导致Y-KGE值大于0.9,所有中流量和低流量的MAE小于10厘米。然而,对于验证中的高流量来说,情况并非如此。虽然模型精度在极端高流量下会下降,但这种方法确保了在广泛的水力条件下的可靠性能,并且由于精度的显着变化,强调了对极端高流量的逐步校准的需要。因此,该方法有助于水资源管理者优化资源配置,预测和减轻洪水风险,并在不同的排放情景下供水。
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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