Articles | Volume 8, issue 3
https://doi.org/10.5194/esurf-8-619-2020
https://doi.org/10.5194/esurf-8-619-2020
Research article
 | 
16 Jul 2020
Research article |  | 16 Jul 2020

Modelling impacts of spatially variable erosion drivers on suspended sediment dynamics

Giulia Battista, Peter Molnar, and Paolo Burlando

Related authors

Green water availability and water-limited crop yields under a changing climate in Ethiopia
Mosisa Tujuba Wakjira, Nadav Peleg, Johan Six, and Peter Molnar
Hydrol. Earth Syst. Sci., 29, 863–886, https://doi.org/10.5194/hess-29-863-2025,https://doi.org/10.5194/hess-29-863-2025, 2025
Short summary
Suspended sediment concentrations in Alpine rivers: from annual regimes to sub-daily extreme events
Amber van Hamel, Peter Molnar, Joren Janzing, and Manuela Irene Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2024-3985,https://doi.org/10.5194/egusphere-2024-3985, 2025
Short summary
Improving Pluvial Flood Simulations with Multi-source DEM Super-Resolution
Yue Zhu, Paolo Burlando, Puay Yok Tan, Christian Geiß, and Simone Fatichi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-207,https://doi.org/10.5194/nhess-2024-207, 2024
Preprint under review for NHESS
Short summary
Sediment source and sink identification using Sentinel-2 and a small network of turbidimeters on the Vjosa River
Jessica Droujko, Srividya Hariharan Sudha, Gabriel Singer, and Peter Molnar
Earth Surf. Dynam., 11, 881–897, https://doi.org/10.5194/esurf-11-881-2023,https://doi.org/10.5194/esurf-11-881-2023, 2023
Short summary
Assessing Future Hydrological Impacts of Climate Change on High-Mountain Central Asia: Insights from a Stochastic Soil Moisture Water Balance Model
Tobias Siegfried, Aziz Ul Haq Mujahid, Beatrice Sabine Marti, Peter Molnar, Dirk Nikolaus Karger, and Andrey Yakovlev
EGUsphere, https://doi.org/10.5194/egusphere-2023-520,https://doi.org/10.5194/egusphere-2023-520, 2023
Preprint archived
Short summary

Related subject area

Physical: Geomorphology (including all aspects of fluvial, coastal, aeolian, hillslope and glacial geomorphology)
Automatic detection of floating instream large wood in videos using deep learning
Janbert Aarnink, Tom Beucler, Marceline Vuaridel, and Virginia Ruiz-Villanueva
Earth Surf. Dynam., 13, 167–189, https://doi.org/10.5194/esurf-13-167-2025,https://doi.org/10.5194/esurf-13-167-2025, 2025
Short summary
Investigating uncertainty and parameter sensitivity in bedform analysis by using a Monte Carlo approach
Julius Reich and Axel Winterscheid
Earth Surf. Dynam., 13, 191–217, https://doi.org/10.5194/esurf-13-191-2025,https://doi.org/10.5194/esurf-13-191-2025, 2025
Short summary
Geomorphic imprint of high-mountain floods: insights from the 2022 hydrological extreme across the upper Indus River catchment in the northwestern Himalayas
Abhishek Kashyap, Kristen L. Cook, and Mukunda Dev Behera
Earth Surf. Dynam., 13, 147–166, https://doi.org/10.5194/esurf-13-147-2025,https://doi.org/10.5194/esurf-13-147-2025, 2025
Short summary
A numerical model for duricrust formation by water table fluctuations
Caroline Fenske, Jean Braun, François Guillocheau, and Cécile Robin
Earth Surf. Dynam., 13, 119–146, https://doi.org/10.5194/esurf-13-119-2025,https://doi.org/10.5194/esurf-13-119-2025, 2025
Short summary
Width evolution of channel belts as a random walk
Jens M. Turowski, Fergus McNab, Aaron Bufe, and Stefanie Tofelde
Earth Surf. Dynam., 13, 97–117, https://doi.org/10.5194/esurf-13-97-2025,https://doi.org/10.5194/esurf-13-97-2025, 2025
Short summary

Cited articles

Asselman, N. E.: Suspended sediment dynamics in a large drainage basin: The River Rhine, Hydrol. Process., 13, 1437–1450, https://doi.org/10.1002/(SICI)1099-1085(199907)13:10<1437::AID-HYP821>3.0.CO;2-J, 1999. a
Asselman, N. E.: Fitting and interpretation of sediment rating curves, J. Hydrol., 234, 228–248, https://doi.org/10.1016/S0022-1694(00)00253-5, 2000. a
Battista, G., Molnar, P., and Burlando, P.: Model inputs and simulation results, ETH Zurich Research Collection, https://doi.org/10.3929/ethz-b-000358874, 2019. a
Beasley, D. B., Huggins, L. F., and Monke, E. J.: ANSWERS: A Model for Watershed Planning, T. ASAE, 23, 0938–0944, https://doi.org/10.13031/2013.34692, 1980. a
Bennett, G. L., Molnar, P., McArdell, B. W., and Burlando, P.: A probabilistic sediment cascade model of sediment transfer in the Illgraben, Water Resour. Res., 50, 1225–1244, https://doi.org/10.1002/2013WR013806, 2014. a
Download
Short summary
Suspended sediment load in rivers is highly uncertain because of spatial and temporal variability. By means of a hydrology and suspended sediment transport model, we investigated the effect of spatial variability in precipitation and surface erodibility on catchment sediment fluxes in a mesoscale river basin. We found that sediment load depends on the spatial variability in erosion drivers, as this affects erosion rates and the location and connectivity to the channel of the erosion areas.
Share