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Eva Sebok

Researcher at University of Copenhagen

Publications -  18
Citations -  352

Eva Sebok is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Groundwater discharge & Groundwater. The author has an hindex of 9, co-authored 17 publications receiving 275 citations. Previous affiliations of Eva Sebok include COWI A/S.

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High-resolution distributed temperature sensing to detect seasonal groundwater discharge into Lake Væng, Denmark

TL;DR: In this article, the authors used distributed temperature sensing (DTS) to map spatial and temporal changes in temperature on a 25 m by 6 m lakebed area in the winter (February), spring (May), and summer (August) of 2012.
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Spatial variability in streambed hydraulic conductivity of contrasting stream morphologies: channel bend and straight channel

TL;DR: In this article, the vertical hydraulic conductivities (Kv) were calculated with in-stream permeameter tests and hydraulic heads were measured to obtain vertical head gradients at eight transects, each comprising five test locations.
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Estimating groundwater discharge to surface waters using heat as a tracer in low flux environments: the role of thermal conductivity

TL;DR: In this paper, thermal conductivities and temperature profiles were measured in a coastal lagoon bed where groundwater is known to discharge, and the results showed that the natural variability of sediment thermal conductivity is a parameter to be considered for low flux environments, and it contributes to a better understanding of groundwater-surface water interactions in natural environments.
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Detecting groundwater discharge dynamics from point-to-catchment scale in a lowland stream: combining hydraulic and tracer methods

TL;DR: In this article, the authors combine hy- draulic and tracer methods from point-to-catchment scale to assess the temporal and spatial variability of groundwater discharge in a lowland, groundwater gaining stream in Den- mark.
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Application of Distributed Temperature Sensing for coupled mapping of sedimentation processes and spatio‐temporal variability of groundwater discharge in soft‐bedded streams

TL;DR: In this paper, a method is proposed to delineate potential high-groundwater discharge areas and identify deposition-induced temperature anomalies in soft-bedded streams using distributed temperature sensing data.