21 Papers
88 Citations
Josef Fürst is an academic researcher from University of Natural Resources and Life Sciences, Vienna. The author has contributed to research in topics: Water resources & Land cover. The author has an hindex of 8, co-authored 21 publications. Previous affiliations of Josef Fürst include University of Agricultural Sciences, Dharwad.
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Papers
Effects of land cover change on flood peak discharges and runoff volumes: model estimates for the Nyando River Basin, Kenya
L. O. Olang,Josef Fürst +1 more
TL;DR: In this paper, the impacts of historical land cover changes witnessed between 1973 and 2000 on the hydrologic response of the Nyando River Basin were investigated through consistent classifications of selected Landsat satellite images.
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Seasonal, spatially distributed modelling of accumulation and melting of snow for computing runoff in a long-term, large-basin water balance model
TL;DR: In this article, a methodology was developed for seasonal, spatially distributed modelling of accumulation and melting of snow and was embedded in a water balance model that uses only monthly values of precipitation and air temperature as meteorological input data.
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Impacts of land cover change scenarios on storm runoff generation: a basis for management of the nyando basin, kenya
TL;DR: In this article, the authors present a detailed review of the state of the art in hydrological processes and their application in the field of hydrology.Volume 25, Issue 1, pages 80-89, 1 January 2011
Coding of watershed and river hierarchy to support GIS-based hydrological analyses at different scales
Josef Fürst,Thomas Hörhan +1 more
TL;DR: A procedure is presented to automatically assign a modified Pfafstetter code to a stream network and its associated watersheds to support the flexible presentation and user-defined aggregation of water balance results in the digital version of the Hydrological Atlas of Austria.
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Regional frequency analysis of extreme groundwater levels.
TL;DR: Results show that homogeneous regions for l-moments-based RFA can be identified covering about one half of the total area of the aquifers, and the confidence intervals for the 30- and 100-year return levels can be significantly reduced by RFA.
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