View in EDS

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

Saved in:
Bibliographic Details
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.)
Database: GreenFILE
Description
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]
ISSN:13648152
DOI:10.1016/j.envsoft.2025.106642