Dominant factors determining the hydraulic conductivity of sedimentary aquitards: A random forest approach

Aquitards are common hydrogeological features and their hydraulic conductivity is an important property for various groundwater management issues. Predicting their hydraulic conductivity proves challenging, given its dependence on numerous variables. In this study, the dominant factors for predicting aquitard hydraulic conductivity are identified. To this end, a random forest model is trained on a dataset consisting of more than 1000 hydraulic conductivity measurements of core-scale sediment samples from a wide range of stratigraphic units and depths in the Netherlands. The dataset contains te... Mehr ...

Verfasser: Leer, Martijn D. van
Zaadnoordijk, Willem Jan
Zech, Alraune
Buma, Jelle
Harting, Ronald
Bierkens, Marc F.P.
Griffioen, Jasper
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Schlagwörter: Aquitards / Hydraulic conductivity / parameterisation / machine learning / grounwater / the Netherlands
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29203493
Datenquelle: BASE; Originalkatalog
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Link(s) : https://dspace.library.uu.nl/handle/1874/434655