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LuKARS 3.0: a high-performance computing software to model flow and transport processes in karst aquifers.

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Title: LuKARS 3.0: a high-performance computing software to model flow and transport processes in karst aquifers.
Authors: Richieri, Beatrice1 (AUTHOR) beatrice.richieri@fau.de, Sivelle, Vianney2 (AUTHOR), Hartmann, Andreas3 (AUTHOR), Labat, David4 (AUTHOR), Muniruzzaman, Muhammad5,6 (AUTHOR), Chiogna, Gabriele1 (AUTHOR)
Source: Environmental Modelling & Software. Sep2025, Vol. 193, pN.PAG-N.PAG. 1p.
Subject Terms: *Karst hydrology, *Water management, Sensitivity analysis, Hydrologic models, Transport theory, Mathematical optimization, Uncertainty (Information theory), High performance computing
Abstract: We introduce LuKARS 3.0, an optimized and flexible version of the LuKARS semi-distributed karst simulation model, designed for improved computational efficiency in discharge and reactive transport simulations. Code optimization and a flexible model structure enabled extensive sensitivity and uncertainty analyses. We demonstrate it with three applications. First, we tested the reduction in runtime, achieving a 420-fold decrease. Second, we implemented the Morris sensitivity analysis, producing results comparable to the active subspace method. Third, we performed combined structural and parametric uncertainty analyses revealing that increasing hydrotopes does not necessarily enhance model performance. Additionally, we couple LuKARS 3.0 with IPhreeqc to implement a solute transport model based on complete mixing. Results show that discharge performance metrics alone may not fully capture solute transport dynamics, highlighting the need for a multi-objective approach. These advancements make LuKARS 3.0 a powerful tool for large-scale karst hydrology studies, with future applications aimed at integrating chemical reactions and enhancing uncertainty analyses for water resource management. [Display omitted] • LuKARS 3.0 to enhance computational efficiency and flexible karst model structure. • Morris and Active Subspace sensitivity analysis are consistent. • Multi-model structure uncertainty quantification and GLUE posterior distribution. • Mixing model by coupling LuKARS 3.0 with IPhreeqc. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: GreenFILE
An: 187797162
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  Label: Title
  Group: Ti
  Data: LuKARS 3.0: a high-performance computing software to model flow and transport processes in karst aquifers.
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  Data: <searchLink fieldCode="AR" term="%22Richieri%2C+Beatrice%22">Richieri, Beatrice</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> beatrice.richieri@fau.de</i><br /><searchLink fieldCode="AR" term="%22Sivelle%2C+Vianney%22">Sivelle, Vianney</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hartmann%2C+Andreas%22">Hartmann, Andreas</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Labat%2C+David%22">Labat, David</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Muniruzzaman%2C+Muhammad%22">Muniruzzaman, Muhammad</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chiogna%2C+Gabriele%22">Chiogna, Gabriele</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Modelling+%26+Software%22">Environmental Modelling & Software</searchLink>. Sep2025, Vol. 193, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Karst+hydrology%22">Karst hydrology</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+management%22">Water management</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrologic+models%22">Hydrologic models</searchLink><br /><searchLink fieldCode="DE" term="%22Transport+theory%22">Transport theory</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty+%28Information+theory%29%22">Uncertainty (Information theory)</searchLink><br /><searchLink fieldCode="DE" term="%22High+performance+computing%22">High performance computing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We introduce LuKARS 3.0, an optimized and flexible version of the LuKARS semi-distributed karst simulation model, designed for improved computational efficiency in discharge and reactive transport simulations. Code optimization and a flexible model structure enabled extensive sensitivity and uncertainty analyses. We demonstrate it with three applications. First, we tested the reduction in runtime, achieving a 420-fold decrease. Second, we implemented the Morris sensitivity analysis, producing results comparable to the active subspace method. Third, we performed combined structural and parametric uncertainty analyses revealing that increasing hydrotopes does not necessarily enhance model performance. Additionally, we couple LuKARS 3.0 with IPhreeqc to implement a solute transport model based on complete mixing. Results show that discharge performance metrics alone may not fully capture solute transport dynamics, highlighting the need for a multi-objective approach. These advancements make LuKARS 3.0 a powerful tool for large-scale karst hydrology studies, with future applications aimed at integrating chemical reactions and enhancing uncertainty analyses for water resource management. [Display omitted] • LuKARS 3.0 to enhance computational efficiency and flexible karst model structure. • Morris and Active Subspace sensitivity analysis are consistent. • Multi-model structure uncertainty quantification and GLUE posterior distribution. • Mixing model by coupling LuKARS 3.0 with IPhreeqc. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.envsoft.2025.106642
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      – Code: eng
        Text: English
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        StartPage: N.PAG
    Subjects:
      – SubjectFull: Karst hydrology
        Type: general
      – SubjectFull: Water management
        Type: general
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: Hydrologic models
        Type: general
      – SubjectFull: Transport theory
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      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Uncertainty (Information theory)
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      – SubjectFull: High performance computing
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      – TitleFull: LuKARS 3.0: a high-performance computing software to model flow and transport processes in karst aquifers.
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            NameFull: Richieri, Beatrice
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            NameFull: Hartmann, Andreas
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 193
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