TY - GEN A1 - Khosh Bin Ghomash, Shahin A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Effects of erosion-induced changes to topography on runoff dynamics T2 - Journal of Hydrology N2 - Runoff generation from rainfall events is a complex, spatial and temporally dependent process strongly governed, among other factors, by catchment surface topography. Although it is widely known that many catchments experience morphological evolution, it is often ignored in analysis for different reasons ranging from simplification to lack of data. However, young catchments and early landscapes (such as those which are affected by natural or anthropogenic disturbances) do exhibit topography changes which in turn affect catchment hydrodynamics, hydrology and in particular runoff. In this work, we study the runoff generation and hydrodynamics of the Hühnerwasser artificial catchment (Brandenburg, Germany) during a period of erosion-based topographical changes (2006–2010). Nine Digital Elevation Models from such period were used as topography over which physically-based simulations were performed. The results suggest that topographic evolution in this catchment mostly affects the onset of runoff, whereas peak discharges and receding hydrograph limbs are less affected. These differences in hydrological signatures can be explained through the changes in the spatial distribution of runoff hydrodynamics and their impact on surface runoff connectivity. Relatively small topographical differences produce changing ponding conditions and modify flowpaths which becomes evident only through inspection of the spatial distribution of hydrodynamic variables. Moreover, the study shows that in order for simulations to be able to capture such responses, appropriate computational mesh and topographical data resolution are critical, since connectivity itself can be greatly affected by low resolution data or representation. KW - Rainfall/runoff simulation KW - Runoff generation KW - Topographic evolution KW - Catchment morphodynamics KW - Surface runoff connectivity Y1 - 2019 U6 - https://doi.org/10.1016/j.jhydrol.2019.04.018 SN - 0022-1694 VL - 573 SP - 811 EP - 828 ER - TY - GEN A1 - Caviedes-Voullième, Daniel A1 - Fernández-Pato, Javier A1 - Hinz, Christoph T1 - Performance assessment of 2D Zero-Inertia and Shallow Water models for simulating rainfall-runoff processes T2 - Journal of Hydrology N2 - Rainfall-runoff simulations are increasingly being performed with physically-based and spatially distributed solvers. The current computational and numerical technology enables the use of full shallow water equations solvers to be applied for these type of flow problems. Nonetheless, Zero-Inertia (diffusive wave) solvers have been historically favoured due to their conceptual and mathematical simplicity in comparison to shallow water solvers, with the working assumption that the simplifications introduced by Zero-Inertia will have some assumable impact on accuracy but will also allow for computational efficiency. Since both types of solvers have been primarily developed, benchmarked and compared to each other for fluvial and floodplain simulations, it is relevant to assess t-he relative performance for rainfall-runoff problems. In this work, both solvers are applied to a set of six well known test cases with reference solutions. The performance of the solvers is assessed in terms of global signatures such as hydrographs and flooded areas, but also in terms of spatial distributions of depth and velocity, as well as computational cost. Furthermore, the comparisons are performed across different spatial resolutions. The results show that for rainfall-runoff problems explicit, finite volumes solvers for both equations provide a similar accuracy, but the shallow water solver requires less computational time. The Zero-Inertia solver was found to be less sensitive to mesh refining than the full shallow water solver. KW - Surface runoff KW - Runoff generation KW - Pluvial flooding KW - Zero-inertia equation KW - Shallow-water equations KW - Diffusive-wave equation Y1 - 2020 UR - http://www.sciencedirect.com/science/article/pii/S0022169420301232 U6 - https://doi.org/10.1016/j.jhydrol.2020.124663 SN - 0022-1694 VL - 584 ER -