基于声学反演的三维水动力系统流量测量模型

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jiwei Li , Lingyun Qiu , Zhongjing Wang , Hui Yu
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引用次数: 0

摘要

该研究将已建立的二维流量测量方法扩展到三维场景,解决了复杂水动力环境中对精确、高效的非接触测量技术日益增长的需求。与传统的声学多普勒电流分析器(ADCPs)和基于遥感的流量监测相比,该方法能够实现高分辨率、连续的流速测量,使其非常适合洪水、强水流和含沙河流等危险环境。在原始方法的基础上,我们开发了一个增强的模型,该模型包含多个发射方向和接收器的灵活配置。这些进步提高了该方法应用于三维流场的适应性和准确性。为了评估其可行性,进行了大量的数值模拟来模拟现实世界的水动力条件。结果表明,该方法能有效地处理各种复杂的流场结构,在水资源管理和水利工程中具有实际应用潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An acoustic inversion-based flow measurement model in 3D hydrodynamic systems
This study extends an established two-dimensional flow measurement approach to three-dimensional scenarios, addressing the growing need for accurate and efficient non-contact measurement techniques in complex hydrodynamic environments. Compared to conventional Acoustic Doppler Current Profilers (ADCPs) and remote sensing-based flow monitoring, the proposed method enables high-resolution, continuous water velocity measurement, making it well-suited for hazardous environments such as floods, strong currents, and sediment-laden rivers. Building upon the original approach, we develop an enhanced model that incorporates multiple emission directions and flexible configurations of receivers. These advancements improve the adaptability and accuracy of the method when applied to three-dimensional flow fields. To evaluate its feasibility, extensive numerical simulations are conducted to mimic real-world hydrodynamic conditions. The results demonstrate that the proposed method effectively handles diverse and complex flow field configurations, highlighting its potential for practical applications in water resource management and hydraulic engineering.
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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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