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Improving understanding of groundwater flow in an alpine karst system by reconstructing its geologic history using conduit network model ensembles

Fandel, Chloé; Ferré, Ty; Miville, François; Renard, Philippe; Goldscheider, Nico 1
1 Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)

Abstract:

Reconstructing the geologic history of a karst area
can advance understanding of the system’s present-day hy-
drogeologic functioning and help predict the location of un-
explored conduits. This study tests competing hypotheses
describing past conditions controlling cave formation in an
alpine karst catchment, by comparing an ensemble of mod-
eled networks to the observed network map. The catch-
ment, the Gottesacker karst system (Germany and Austria),
is drained by three major springs and a paleo-spring and in-
cludes the partially explored Hölloch cave, which consists
of an active section whose formation is well-understood and
an inactive section whose formation is the subject of debate.
Two hypotheses for the formation of the inactive section are
the following: (1) glaciation obscured the three present-day
springs, leaving only the paleo-spring, or (2) the lowest of
the three major springs (Sägebach) is comparatively young,
so its subcatchment previously drained to the paleo-spring.
These hypotheses were tested using the pyKasso Python li-
brary (built on anisotropic fast-marching methods) to gener-
ate two ensembles of networks, one representing each sce-
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Verlagsausgabe §
DOI: 10.5445/IR/1000166017
Veröffentlicht am 04.01.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1027-5606, 1607-7938
KITopen-ID: 1000166017
Erschienen in Hydrology and Earth System Sciences
Verlag Copernicus Publications
Band 27
Heft 22
Seiten 4205 – 4215
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 28.11.2023
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