pyKasso: An open-source three-dimensional discrete karst network generator

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-03-01 Epub Date: 2025-02-12 DOI:10.1016/j.envsoft.2025.106362
François Miville , Philippe Renard , Chloé Fandel , Marco Filipponi
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Abstract

Modeling groundwater flow using physically based models requires knowing the geometry of the karst conduit network. Often, this geometry is not accessible and unknown. It is therefore crucial to be able to model it. This paper presents pyKasso, an open-source Python package that generates those geometry based on a pseudo-genetic approach. The model accounts for multiple data sources: a 3D geologic model, the position of known inlets and outlets, the statistical distribution of fractures or inception features, and known base levels. This approach simplifies previously published work by considering a 3D anisotropic fast marching algorithm. The paper presents the structure of the code and explains in detail how it can be used from the most simple 2D situation to a complex 3D case.
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pyKasso:一个开源的三维离散岩溶网络生成器
使用基于物理的模型模拟地下水流动需要了解喀斯特管道网络的几何形状。通常,这种几何形状是不可接近和未知的。因此,能够对其进行建模是至关重要的。本文介绍了pyKasso,一个基于伪遗传方法生成这些几何图形的开源Python包。该模型考虑了多个数据源:三维地质模型、已知入口和出口的位置、裂缝或初始特征的统计分布以及已知的基准面。该方法通过考虑三维各向异性快速行进算法简化了先前发表的工作。本文介绍了代码的结构,并详细解释了如何从最简单的2D情况到复杂的3D情况使用它。
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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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