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Environmental Earth Sciences

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01.11.2015 | Thematic Issue

Research on adaptive tide numerical simulation based on steering dynamic monitoring

verfasst von: Fei Guo, Zhuo Zhang, Di Hu, Tianwen Yang, Songshan Yue

Erschienen in: Environmental Earth Sciences | Ausgabe 10/2015

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Abstract

In recent years, advances in computer and information science, geography, and visualization in scientific computing have brought issues such as multi-dimensional visualization, dynamic phenomenon simulation, and public participation to the fore in the field of geographic information science. Various dynamic quantitative analysis and numerical simulation models have been coupled with geographic analysis tools. These developments have led to the rise of VGEs as potentially suitable tools for advanced geographic analysis and visualization. Improving the simulation ability of VGEs increasingly requires dynamic quantitative analysis and numerical simulation models. In this paper, we use tidal simulation as a case study to expand VGEs applications. To simulate complex flows in coastal areas, we propose an adaptive algorithm for triangulation mesh generation based on the change of terrain. This process can be effectively applied to tidal simulations. We also discuss the dynamic visualization of tidal movements in coastal areas, including spatial cluster analysis, feature extraction, and iconic visualization of the simulation data, which can reveal the dynamic phenomena. Finally, we design a dynamic monitoring strategy that includes tracking monitoring, calculation intervention, and parameter adjustment during the simulation process. The case study demonstrates that this method is reliable and effective and that it can be used effectively in geoscience analysis and geocomputing.

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Titel: Research on adaptive tide numerical simulation based on steering dynamic monitoring
verfasst von: Fei Guo
Zhuo Zhang
Di Hu
Tianwen Yang
Songshan Yue
Publikationsdatum: 01.11.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: Environmental Earth Sciences / Ausgabe 10/2015
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-015-4755-2

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