François Miville , Philippe Renard , Chloé Fandel , Marco Filipponi
{"title":"pyKasso: An open-source three-dimensional discrete karst network generator","authors":"François Miville , Philippe Renard , Chloé Fandel , Marco Filipponi","doi":"10.1016/j.envsoft.2025.106362","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106362"},"PeriodicalIF":4.8000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815225000465","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
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.
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.