Gerd Schmidt
Martin Luther University of Halle-Wittenberg
26 Papers
77 Citations
Gerd Schmidt is an academic researcher from Martin Luther University of Halle-Wittenberg. The author has contributed to research in topics: Land use & Water quality. The author has an hindex of 8, co-authored 23 publications.
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Papers
Towards the implementation of the European Water Framework Directive?: Lessons learned from water quality simulations in an agricultural watershed
TL;DR: In this article, the authors developed consecutive land use and management scenarios on the basis of policy instruments such as the support of agro-environmental measures by Common Agricultural Policy and regional landscape development programs.
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Assessment of pesticide inputs into surface waters by agricultural and urban sources - A case study in the Querne/Weida catchment, central Germany.
Nadine Tauchnitz,Florian Kurzius,Holger Rupp,Gerd Schmidt,Barbara Hauser,Matthias Schrödter,Ralph Meissner +6 more
TL;DR: In most cases, pesticide detections in surface water and soil were not consistent with application data from farmers, indicating that urban sources may affect water quality in the catchment area substantially, but it was observed that pesticide substances remain in the soil over a long time supported by sorption on the soil matrix.
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A SDSS-based Ecological-economic Modelling Approach for Integrated River Basin Management on Different Scale Levels – The Project FLUMAGIS
Martin Volk,Jesko Hirschfeld,Gerd Schmidt,Carsten Bohn,Alexandra Dehnhardt,Stefan Liersch,Leo Lymburner +6 more
TL;DR: The FLUMAGIS project has developed an interactive tool for the assessment and visualization of the hydrological and ecological conditions in river basins and economic aspects of river basin management measures as discussed by the authors.
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Evaluation of regression methodology with low-frequency water quality sampling to estimate constituent loads for ephemeral watersheds in Texas.
TL;DR: The regression method was quite variable in its ability to accurately estimate annual nutrient loads from the study watersheds; however, constituent load estimates were much more accurate for the combined 3-yr period, and it is suggested that for small watersheds, regression-based annual load estimates should be used with caution, whereas long-term estimates can be muchMore accurate when multiple years of concentration data are available.
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Considering spatial distribution and functionality of forests in a modeling framework for river basin management
TL;DR: In this paper, a five-unit model is proposed to improve the consideration of spatial distribution of forests in river basins and its effect on water yield and water quality, which is based on the concept of virtual catchments.
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