Causal analysis of hydrological systems : case study of the Lhomme karst system, Belgium

Hydrological systems seem simple, "everything flows", but prove to be even more complex when one tries to differentiate and characterize flows in detail. Hydrology has thus developed a plurality of models that testify to the complexity of hydrological systems and the variety of their causal representations, from the simplest to the most sophisticated. Beyond a subjective complexity linked to our difficulty in understanding or our attention to detail, hydrological systems also present an intrinsic complexity. These include the nonlinearity of processes and interactions between variables, the nu... Mehr ...

Verfasser: Delforge, Damien
Dokumenttyp: doctoralThesis
Erscheinungsdatum: 2020
Schlagwörter: Karst / Causality / Empirical time-series analysis / Sensitivity analysis / Hydrology / Nonlinearity / Complexity / Perceptions / Causal inference methods / Understanding / Low flow forecasting / Hydrological connectivity / Electrical resistivity tomography / Systems theory / Streamflow recession analysis / Clustering
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26599027
Datenquelle: BASE; Originalkatalog
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Link(s) : http://hdl.handle.net/2078.1/240635