Eva Sebok
University of Copenhagen
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Featured researches published by Eva Sebok.
Water Resources Research | 2016
J. Kazmierczak; Sascha Müller; Bertel Nilsson; Dieke Postma; J. Czekaj; Eva Sebok; Søren Jessen; Sachin Karan; C. Stenvig Jensen; K. Edelvang; Peter Engesgaard
Groundwater discharge into a seepage lake was investigated by combining flux measurements, hydrochemical tracers, geological information and a telescopic modelling approach using first two-dimensional (2D) regional then 2D local flow and flow path models. Discharge measurements and hydrochemical tracers supplement each other. Discharge measurements yield flux estimates, but rarely provide information about the origin and flow path of the water. Hydrochemical tracers may reveal the origin and flow path of the water, but rarely provide any information about the flux. While aquifer interacting with the lake remained under seemingly steady state conditions across seasons, a high spatial and temporal heterogeneity in the discharge to the lake was observed. The results showed that part of the groundwater flowing from the west passes beneath the lake and discharges at the eastern shore, where groundwater springs and high discharge zones (HDZs) are observed at the lake bottom and at seepage faces adjacent to the lake. In the 2D cross-section, surface runoff from the seepage faces delivers 64% of the total groundwater inputs to the lake, and a 2 m wide offshore HDZ delivers 13%. Presence of HDZs may control nutrient fluxes to the lake. This article is protected by copyright. All rights reserved.
Hydrological Processes | 2018
Carlos Duque; Kinza Haider; Eva Sebok; Torben O. Sonnenborg; Peter Engesgaard
Department of Geoscience, Aarhus University, Aarhus, Denmark Department of Geosciences and Natural Resources Management (IGN), University of Copenhagen, Copenhagen K, Denmark Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen K, Denmark Correspondence Carlos Duque, Department of Geoscience, Aarhus University, Høegh‐Guldbergs Gade 2, Aarhus 8000, Denmark. Email: [email protected] Funding information Marie Curie International Outgoing Fellowship of the European Union Seventh Framework Programme, Grant/Award Numbers: 664496 and 624496; Spanish Program of Postdoc Mobility of the Ministerio de Educación; Villum Kann Rasmussen Foundation
Hydrological Processes | 2017
Sachin Karan; Eva Sebok; Peter Engesgaard
The need to identify groundwater seepage locations is of great importance for managing both stream water quality and groundwater sourced ecosystems due to their dependency on groundwater borne nutrients and temperatures. Although several reconnaissance methods using temperature as tracer exist, these are subjected to limitations related to mainly the spatial- and temporal resolution and/or mixing of groundwater and surface water leading to dilution of the temperature differences. Further, some methods, e.g., thermal imagery and fiber optic distributed temperature sensing, although relative efficient in detecting temperature differences over larger distances, these are labor-intensive and costly. Therefore, there is a need for additional cost-effective methods identifying substantial groundwater seepage locations. We present a method expanding the linear regression of air and stream temperatures by measuring the temperatures in dual-depth; in the stream column and at the streambed-water interface (SWI). By doing so we apply metrics from linear regression analysis of temperatures between air/stream and air/SWI (linear regression slope, intercept and coefficient of determination), and the daily water temperature cycle (daily meantemperatures, temperature variance and the mean diel temperature fluctuation). We show that using metrics from only single-depth stream temperature measurements are insufficient to identify substantial groundwater seepage locations in a head-water stream. Conversely, comparing the metrics from dual-depth temperatures show significant differences; at groundwater seepage locations, temperatures at the SWI, merely explain 43-75% of the variation opposed to ≥91% at the corresponding stream column temperatures. In general, at these locations at the SWI, the slopes ( 6.5 ∘C) are substantially lower and higher, respectively, while the mean diel temperature fluctuations (<0.98 ∘C) are decreased compared to remaining locations. The dual-depth approach was applied in a post-glacial fluvial setting, where metrics analyses overall corroborated with field measurements of groundwater fluxes and stream flow accretions. Thus, we propose a method reliably identifying groundwater seepage locations along streambeds in such settings.
Hydrological Processes | 2015
Eva Sebok; Carlos Duque; Peter Engesgaard; Eva Boegh
Water Resources Research | 2013
Eva Sebok; Carlos Duque; J. Kazmierczak; Peter Engesgaard; Bertel Nilsson; Sachin Karan; Mette Frandsen
Hydrological Processes | 2016
Carlos Duque; Sascha Müller; Eva Sebok; Kinza Haider; Peter Engesgaard
Hydrological Processes | 2015
Eva Sebok; Carlos Duque; Peter Engesgaard; Eva Boegh
Hydrology and Earth System Sciences | 2014
J. R. Poulsen; Eva Sebok; Carlos Duque; Doerthe Tetzlaff; Peter Engesgaard
Environmental Monitoring and Assessment | 2017
Eva Sebok; Peter Engesgaard; Carlos Duque
Journal of Hydrology: Regional Studies | 2018
Sascha Müller; Søren Jessen; C. Duque; Eva Sebok; Bethany T. Neilson; Peter Engesgaard