A novel grid generation method based on multi-resolution data fusion for 2D shallow water models

IF 2.4 3区 环境科学与生态学 Q2 ENGINEERING, CIVIL Journal of Hydro-environment Research Pub Date : 2022-11-01 DOI:10.1016/j.jher.2022.10.001
Yongyong Ma , Jingming Hou , Jie Chai , Tian Wang , Wei Liu , Bingyao Li , Nie Zhou , Lu Yang
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引用次数: 1

Abstract

Aiming at resolving the grid problems caused by the inconsistent resolution requirements when simulating overland flows using the 2D shallow water equations, a novel grid generation method based on multi-resolution data fusion is developed in this work. This method is able to not only reduce the computational burden associated with uniform structured grids but also ensure the simulation accuracy of the hydrodynamic model by reproducing the so-called small-scale effect. The efficiency of the method is assessed using different cases. Theoretical and laboratory cases demonstrate that fused non-uniform structured grids can reproduce hydrographs without appreciable accuracy losses. In addition, a high simulation accuracy (NRMSE ≤ 10.40 %, R2 ≥ 0.87) is achieved in the simulation of a real flood event. The performance of this method is very promising in terms of the large-scale flood simulation accuracy, and it significantly reduces the data requirements and computational burden with globally fine uniform grids.

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一种基于多分辨率数据融合的二维浅水模型网格生成方法
针对利用二维浅水方程模拟坡面流时由于分辨率要求不一致而导致的网格问题,提出了一种基于多分辨率数据融合的网格生成方法。该方法不仅减少了均匀结构网格的计算量,而且通过再现所谓的小尺度效应,保证了水动力模型的模拟精度。通过不同的实例对该方法的有效性进行了评价。理论和实验实例表明,融合的非均匀结构网格可以在没有明显精度损失的情况下再现水文曲线。在一次真实洪水事件的模拟中,达到了较高的模拟精度(NRMSE≤10.40%,R2≥0.87)。该方法在大尺度洪水模拟精度方面表现良好,在全局精细均匀网格下显著降低了数据要求和计算负担。
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来源期刊
Journal of Hydro-environment Research
Journal of Hydro-environment Research ENGINEERING, CIVIL-ENVIRONMENTAL SCIENCES
CiteScore
5.80
自引率
0.00%
发文量
34
审稿时长
98 days
期刊介绍: The journal aims to provide an international platform for the dissemination of research and engineering applications related to water and hydraulic problems in the Asia-Pacific region. The journal provides a wide distribution at affordable subscription rate, as well as a rapid reviewing and publication time. The journal particularly encourages papers from young researchers. Papers that require extensive language editing, qualify for editorial assistance with American Journal Experts, a Language Editing Company that Elsevier recommends. Authors submitting to this journal are entitled to a 10% discount.
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