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Björn Guse
Björn Guse
在 gfz-potsdam.de 的电子邮件经过验证
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引用次数
引用次数
年份
Twenty-three unsolved problems in hydrology (UPH)–a community perspective
G Blöschl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ...
Hydrological Sciences Journal 64 (10), 1141-1158, 2019
7212019
Smart low flow signature metrics for an improved overall performance evaluation of hydrological models
M Pfannerstill, B Guse, N Fohrer
Journal of Hydrology 510, 447-458, 2014
1952014
How to improve the representation of hydrological processes in SWAT for a lowland catchment–temporal analysis of parameter sensitivity and model performance
B Guse, DE Reusser, N Fohrer
Hydrological processes 28 (4), 2651-2670, 2014
1642014
Causative classification of river flood events
L Tarasova, R Merz, A Kiss, S Basso, G Blöschl, B Merz, A Viglione, ...
Wiley Interdisciplinary Reviews: Water 6 (4), e1353, 2019
1272019
Eco-hydrologic model cascades: Simulating land use and climate change impacts on hydrology, hydraulics and habitats for fish and macroinvertebrates
B Guse, J Kail, J Radinger, M Schröder, J Kiesel, D Hering, C Wolter, ...
Science of the Total Environment 533, 542-556, 2015
1092015
A multi‐storage groundwater concept for the SWAT model to emphasize nonlinear groundwater dynamics in lowland catchments
M Pfannerstill, B Guse, N Fohrer
Hydrological processes 28 (22), 5599-5612, 2014
1082014
Assessing the impacts of Best Management Practices on nitrate pollution in an agricultural dominated lowland catchment considering environmental protection versus economic …
MB Haas, B Guse, N Fohrer
Journal of environmental management 196, 347-364, 2017
992017
Integrating catchment properties in small scale species distribution models of stream macroinvertebrates
M Kuemmerlen, B Schmalz, B Guse, Q Cai, N Fohrer, SC Jähnig
Ecological Modelling 277, 77-86, 2014
982014
Dynamic modelling of land use change impacts on nitrate loads in rivers
B Guse, M Pfannerstill, N Fohrer
Environmental Processes 2 (4), 575-592, 2015
712015
Riverine phytoplankton shifting along a lentic-lotic continuum under hydrological, physiochemical conditions and species dispersal
Y Qu, N Wu, B Guse, N Fohrer
Science of the Total Environment 619, 1628-1636, 2018
572018
On characterizing the temporal dominance patterns of model parameters and processes
B Guse, M Pfannerstill, M Strauch, DE Reusser, S Lüdtke, M Volk, ...
Hydrological Processes 30 (13), 2255-2270, 2016
572016
How to constrain multi‐objective calibrations of the SWAT model using water balance components
M Pfannerstill, K Bieger, B Guse, DD Bosch, N Fohrer, JG Arnold
JAWRA Journal of the American Water Resources Association 53 (3), 532-546, 2017
562017
Fostering integrated land and water management approaches: Evaluating the water footprint of a Mediterranean basin under different agricultural land use scenarios
G Salmoral, BA Willaarts, A Garrido, B Guse
Land Use Policy 61, 24-39, 2017
522017
Hydrological and environmental variables outperform spatial factors in structuring species, trait composition, and beta diversity of pelagic algae
N Wu, Y Qu, B Guse, K Makarevičiūtė, S To, T Riis, N Fohrer
Ecology and evolution 8 (5), 2947-2961, 2018
492018
A joined multi-metric calibration of river discharge and nitrate loads with different performance measures
MB Haas, B Guse, M Pfannerstill, N Fohrer
Journal of Hydrology 536, 534-545, 2016
462016
Process verification of a hydrological model using a temporal parameter sensitivity analysis
M Pfannerstill, B Guse, D Reusser, N Fohrer
Hydrology and Earth System Sciences 19 (10), 4365, 2015
462015
Identifying the connective strength between model parameters and performance criteria
B Guse, M Pfannerstill, A Gafurov, J Kiesel, C Lehr, N Fohrer
Hydrology and Earth System Sciences 21, 5663-5679, 2017
412017
Hydrological drought simulations: How climate and model structure control parameter sensitivity
LA Melsen, B Guse
Water Resources Research 55 (12), 10527-10547, 2019
402019
The role of spatial dependence for large-scale flood risk estimation
AD Metin, D Nguyen, K Schröter, S Vorogushyn, B Guse, H Kreibich, ...
Natural Hazards and Earth System Sciences (NHESS) 20, 967-979, 2020
382020
Riverine phytoplankton functional groups response to multiple stressors variously depending on hydrological periods
Y Qu, N Wu, B Guse, K Makarevičiūtė, X Sun, N Fohrer
Ecological indicators 101, 41-49, 2019
362019
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