非结构化网格中随机标量场的分割

IF 4.4 2区地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers & Geosciences Pub Date : 2025-08-26 DOI:10.1016/j.cageo.2025.106041

Tommaso Sorgente , Marianna Miola , Simone Pittaluga , Daniela Cabiddu , Michela Mortara , Marino Vetuschi Zuccolini

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引用次数: 0

摘要

我们提出了一种将定义在非结构化网格上的（随机）标量场分割为给定数量的部分的算法。它可以应用于任何类型的网格，如三角形/四面体网格、2D/3D网格和一般多边形/多面体网格，将网格元素分类到具有有限噪声和光滑边界的区域。该算法提供了多种输出选项，以各种文件格式提供了关于分割和网格区域的有价值的信息，因此适合实际应用。我们展示了该算法在不同应用场景中的工作，从环境地球化学到海洋科学和地下水建模，证明了它的有效性和多功能性。

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Segmentation of stochastic scalar fields in unstructured meshes

We present an algorithm for segmenting a (stochastic) scalar field defined on an unstructured mesh into a given number of parts. It can be applied to any type of mesh, such as triangular/tetrahedral meshes, 2D/3D grids, and generic polygonal/polyhedral meshes, inducing a classification of the mesh elements into regions with limited noise and smooth boundaries. The algorithm offers multiple output options, providing valuable information about the segmentation and the mesh regions in various file formats, thus making it suitable for practical applications. We show the algorithm at work in different application scenarios, ranging from environmental geochemistry to marine sciences and groundwater modeling, proving its efficacy and versatility.

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来源期刊

Computers & Geosciences 地学-地球科学综合

CiteScore

9.30

自引率

6.80%

发文量

164

审稿时长

3.4 months

期刊介绍： Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.