Общедоступные статьи - Sebastian SchwindtПодробнее...
1 статья недоступна нигде
Meta-analysis of a large bedload transport rate dataset
S Schwindt, B Negreiros, BO Mudiaga-Ojemu, MA Hassan
Geomorphology 435, 108748, 2023
Финансирование: German Research Foundation
15 статей доступны в некоторых источниках
Automated analysis of lateral river connectivity and fish stranding risks—Part 1: Review, theory and algorithm
KG Larrieu, GB Pasternack, S Schwindt
Ecohydrology 14 (2), e2268, 2021
Финансирование: US Department of Agriculture
Mapping subaerial sand-gravel-cobble fluvial sediment facies using airborne lidar and machine learning
RD Gómez, GB Pasternack, H Guillon, CF Byrne, S Schwindt, KG Larrieu, ...
Geomorphology 401, 108106, 2022
Финансирование: US Department of Agriculture
Hydro-morphological parameters generate lifespan maps for stream restoration management
S Schwindt, GB Pasternack, PM Bratovich, G Rabone, D Simodynes
Journal of Environmental Management 232, 475-489, 2019
Финансирование: US Department of Agriculture
Design of sediment detention basins: Scaled model experiments and application
A Moldenhauer-Roth, G Piton, S Schwindt, M Jafarnejad, AJ Schleiss
International Journal of Sediment Research 36 (1), 136-150, 2021
Финансирование: European Commission
Introducing seasonal snow memory into the RUSLE
K Mouris, S Schwindt, S Haun, MF Morales Oreamuno, S Wieprecht
Journal of Soils and Sediments 22 (5), 1609-1628, 2022
Финансирование: Netherlands Organisation for Scientific Research, Swedish Research Council …
Bayesian calibration points to misconceptions in three‐dimensional hydrodynamic reservoir modeling
S Schwindt, S Callau Medrano, K Mouris, F Beckers, S Haun, W Nowak, ...
Water Resources Research 59 (3), e2022WR033660, 2023
Финансирование: German Research Foundation
River architect
S Schwindt, K Larrieu, GB Pasternack, G Rabone
SoftwareX 11, 100438, 2020
Финансирование: US Department of Agriculture
Stability criteria for Bayesian calibration of reservoir sedimentation models
K Mouris, E Acuna Espinoza, S Schwindt, F Mohammadi, S Haun, ...
Modeling Earth Systems and Environment 9 (3), 3643-3661, 2023
Финансирование: German Research Foundation, Netherlands Organisation for Scientific Research …
Impact of the construction of a dam and spur dikes on the hydraulic habitat of Megalobrama terminalis spawning sites: a case study in the Beijiang River (China)
X Yang, S Zhang, W Li, C Tang, J Zhang, S Schwindt, S Wieprecht, ...
Ecological Indicators 143, 109361, 2022
Финансирование: National Natural Science Foundation of China
Fuzzy-logic indicators for riverbed de-clogging suggest ecological benefits of large wood
S Schwindt, B Negreiros, M Ponce, I Schalko, S Lassar, R Barros, S Haun
Ecological Indicators 155, 111045, 2023
Финансирование: Swiss National Science Foundation
Flow and turbulence due to wood contribute to declogging of gravel bed
I Schalko, M Ponce, S Lassar, S Schwindt, S Haun, H Nepf
Geophysical Research Letters 51 (2), e2023GL107507, 2024
Финансирование: Swiss National Science Foundation
An interdisciplinary model chain quantifies the footprint of global change on reservoir sedimentation
K Mouris, S Schwindt, MH Pesci, S Wieprecht, S Haun
Scientific Reports 13 (1), 20160, 2023
Финансирование: Netherlands Organisation for Scientific Research, Swedish Research Council …
Hydrogeomorphology and steep creek hazard mitigation lexicon: French, English and German
F Camiré, G Piton, S Schwindt
International Conference on Debris-Flow Hazards Mitigation: Mechanics …, 2019
Финансирование: European Commission
Lifespan map creation enhances stream restoration design
S Schwindt, GB Pasternack, PM Bratovich, G Rabone, D Simodynes
MethodsX 6, 756-759, 2019
Финансирование: US Department of Agriculture
A database application framework toward data-driven vertical connectivity analysis of rivers
B Negreiros, S Schwindt, F Scolari, R Barros, AA Galdos, M Noack, ...
Environmental Modelling & Software 172, 105916, 2024
Финансирование: National Natural Science Foundation of China, German Research Foundation
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