Blume, T.; Gariremo, N.; Kuleshov, A.; van Meerveld, I.; Hopp, L. & Hartmann, A. (2024.04.16). <b>Spatial patterns and temporal dynamics of subsurface hillslope-stream connectivity</b>. Presented at EGU General Assembly 2024, Vienna, Austria.
Resource Description
Title:
Spatial patterns and temporal dynamics of subsurface hillslope-stream connectivity
FOR816dw ID:
375
Publication Date:
2025-07-16
License and Usage Rights:
Resource Owner(s):
Individual:
T. Blume
Contact:
email:
webmaster <at> lcrs.de
Individual:
Natasha Gariremo
Contact:
email:
Natasha.Gariremo <at> uni-bayreuth.de
University of Bayreuth
Department of Hydrology
Universitätsstr. 30
95448 Bayern - Bayreuth
Germany
Individual:
Alexey Kuleshov
Contact:
email:
alexey.kuleshov <at> uni-bayreuth.de
University of Bayreuth
Department of Hydrology
Universitätsstr. 30
95440 Bayreuth
Germany
Individual:
Ilja van Meerveld
Contact:
email:
webmaster <at> lcrs.de
Individual:
L. Hopp
Contact:
email:
webmaster <at> lcrs.de
Individual:
Anne Hartmann
Contact:
email:
aha <at> gfz-potsdam.de
GFZ Helmholtz Centre for Geosciences
Section 4.4. Hydrology
Telegrafenberg
Potsdam
Germany
Abstract:
Subsurface hillslope-stream connectivity is a major control on runoff-generation and catchment storage dynamics. However, detecting this connectivity is challenging, as processes in the subsurface are not easily observable. Furthermore, we are faced with a high spatial variability as well as pronounced temporal dynamics.<br/>
<br/>
In this context, we are investigating three catchments in German mid-mountain ranges: Black Forest, Ore Mountains and Sauerland. The experimental design consists of three trenched hillslopes per catchment as well as numerous observation wells and stream gauges along the stream. Water samples are taken at all locations during snapshot campaigns and are analyzed for major cations and anions to complement event-based sampling at the trenches and in the stream. This comparative design aims at moving beyond single-site insights to gaining a broader view of the process and its spatio-temporal patterns. First observations of these patterns based on physical and chemical signals of subsurface connectivity are presented.
