A hydrodynamic lake model coupled with a three-dimensional dynamic visualization method

IF 1.5 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Zhenliang Liao, Yanfeng Chi, Xianyong Gu, Guozheng Zhi, Wenchong Tian, Jiaqiang Xie, Junwei Zhou
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引用次数: 0

Abstract

The hydrodynamic lake model is an important tool for lake management and decision-making. When model results are analyzed by traditional analysis methods, the multisource heterogeneous data are not expressed systematically and intuitively, which leads to the inability to extract useful information efficiently. In order to solve the above problems, a three-dimensional dynamic visualization analysis method of the hydrodynamic lake model (3DV-HLM) is proposed by coupling the hydrodynamic lake model with the three-dimensional dynamic visualization technology. Chaohu Lake was taken as an example to verify the feasibility of the method. Thirteen working conditions were set up and the simulated water flows changing with space and time were analyzed and compared by the 3DV-HLM method. The results show that the 3DV-HLM method proposed in this study is more systematic and effective in the expression of multisource heterogeneous information than the traditional analysis methods. It is easier to discover rules and obtain useful information from huge data set by the 3DV-HLM method. Besides, the intuitive display of the model results by the 3DV-HLM method is close to the real environment, which can enhance the understanding of the hydrodynamic characteristics of the lake by the water environment managers.

结合三维动态可视化方法的水动力湖泊模型
湖泊水动力模型是湖泊管理和决策的重要工具。采用传统分析方法对模型结果进行分析时,多源异构数据无法系统直观地表达,导致无法有效提取有用信息。为解决上述问题,通过将湖泊水动力模型与三维动态可视化技术相结合,提出了一种湖泊水动力模型三维动态可视化分析方法(3DV-HLM)。以巢湖为例,验证了该方法的可行性。设置了 13 个工况,利用 3DV-HLM 方法对模拟水流随空间和时间的变化进行了分析和比较。结果表明,与传统的分析方法相比,本研究提出的 3DV-HLM 方法在表达多源异构信息方面更加系统和有效。3DV-HLM 方法更容易从庞大的数据集中发现规则并获取有用信息。此外,3DV-HLM 方法对模型结果的直观显示贴近真实环境,可提高水环境管理者对湖泊水动力特性的认识。
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来源期刊
Clean-soil Air Water
Clean-soil Air Water 环境科学-海洋与淡水生物学
CiteScore
2.80
自引率
5.90%
发文量
88
审稿时长
3.6 months
期刊介绍: CLEAN covers all aspects of Sustainability and Environmental Safety. The journal focuses on organ/human--environment interactions giving interdisciplinary insights on a broad range of topics including air pollution, waste management, the water cycle, and environmental conservation. With a 2019 Journal Impact Factor of 1.603 (Journal Citation Reports (Clarivate Analytics, 2020), the journal publishes an attractive mixture of peer-reviewed scientific reviews, research papers, and short communications. Papers dealing with environmental sustainability issues from such fields as agriculture, biological sciences, energy, food sciences, geography, geology, meteorology, nutrition, soil and water sciences, etc., are welcome.
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