通过调整网格水位标高提高水力河流模拟中的水位精度

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-07-10 DOI:10.1016/j.envsoft.2024.106135
Parisa Khorsandi Kuhanestani, Anouk Bomers, Martijn J. Booij, Jord J. Warmink, Suzanne J.M.H. Hulscher
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引用次数: 0

摘要

二维水力模型是模拟水位以有效管理河流的工具之一。二维模型中的网格分辨率直接影响到水深的离散性和排水能力,进而影响到模拟水位的准确性。本研究的目的是开发一种改进的网格设置,它与测量断面的断面流量一致,但在整个排放范围内分辨率较低。为实现这一目标,开发了一种在有限范围内垂直调整网格节点的算法。随后,利用 D-Flow-FM 软件对四个假设的 100 公里河段进行建模,以评估修改后的网格设置。研究结果表明,与原始的低分辨率网格相比,使用修改后的低分辨率网格在所有排水量下的水位与高分辨率网格的水位接近度高达 90%。此外,低分辨率网格的模拟运行速度是高分辨率网格的约 12.5 倍。
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Increasing the water level accuracy in hydraulic river simulation by adapting mesh level elevation

2D hydraulic models are one of the tools to simulate water levels for effective river management. Mesh resolution in 2D models directly impacts the discretization of the bathymetry, the discharge capacity, and consequently, the accuracy of simulated water levels. The objective of this study is to develop a modified mesh setup that corresponds with the cross-sectional flow volume of the measured cross-section but with a low resolution for the entire discharge range. An algorithm is developed to vertically adjust mesh nodes within a limited range to achieve this objective. Subsequently, the D-Flow-FM software is utilized to model four hypothetical 100-kilometer river reaches to evaluate the modified mesh setup. The findings reveal that the water level using the modified low-resolution mesh is up to 90% closer to the high resolution mesh compared to the original low-resolution mesh for all discharges. Additionally, the simulation of the low-resolution mesh runs approximately 12.5 times faster than their high-resolution counterparts.

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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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