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Roland Barthel

Researcher at University of Gothenburg

Publications -  70
Citations -  1578

Roland Barthel is an academic researcher from University of Gothenburg. The author has contributed to research in topics: Groundwater & Groundwater recharge. The author has an hindex of 20, co-authored 67 publications receiving 1257 citations. Previous affiliations of Roland Barthel include University of Stuttgart.

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Groundwater and Surface Water Interaction at the Regional-scale - A Review with Focus on Regional Integrated Models

TL;DR: In this article, the authors review the literature on groundwater-surface water interaction (GW-SW) at the regional scale and examine its characteristics at different scales and identify specific challenges.
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A review of contamination of surface-, ground-, and drinking water in Sweden by perfluoroalkyl and polyfluoroalkyl substances (PFASs)

TL;DR: Potential sources for PFASs to enter the drinking water supply in Sweden are described and compared and different occurrences ofPFASs in raw and drinking water in the country are compared.
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Multiscale evaluation of the Standardized Precipitation Index as a groundwater drought indicator

TL;DR: In this article, the suitability of the Standardized Precipitation Index (SPI) to characterize local and regional-scale groundwater droughts using observations at more than 2000 groundwater wells in geologically different areas in Germany and the Netherlands was explored.
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An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain

TL;DR: The DeepActor approach for representing human decision processes, which makes use of a multi-actor simulation framework and has similarities to agent-based approaches, is presented and demonstrated by means of concrete simulation models of the water supply sector and of the domestic water users.
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Integrated Modeling of Global Change Impacts on Agriculture and Groundwater Resources

TL;DR: The DANUBIRA as discussed by the authors is a modular system comprised of 17 dynamically-coupled, process-based model components and a framework which controls the interaction of these components with respect to space and time.