{"title":"A hydrodynamic lake model coupled with a three-dimensional dynamic visualization method","authors":"Zhenliang Liao, Yanfeng Chi, Xianyong Gu, Guozheng Zhi, Wenchong Tian, Jiaqiang Xie, Junwei Zhou","doi":"10.1002/clen.202300128","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clean-soil Air Water","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/clen.202300128","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
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.
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.