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 - TY - GEN A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - From nonequilibrium initial conditions to steady dryland vegetation patterns: How trajectories matter T2 - Ecohydrology N2 - The multiscale nature of ecohydrological processes and feedbacks implies that vegetation patterns arising in water‐limited systems are directly linked to water redistribution processes occurring at much shorter timescales than vegetation growth. This in turn suggests that the initially available water in the system can play a role in determining the trajectory of the system, together with the well‐known role of the rainfall gradient. This work explores the role of initial hydrological conditions on vegetation dynamics and vegetation patterns. To do so, the HilleRisLambers–Rietkerk model was solved with different rainfall amounts and a large range of initial hydrological conditions spanning from near‐equilibrium to far‐from‐equilibrium conditions. The resulting vegetation patterns and ecohydrological signatures were quantitatively studied. The results show that not only do initial hydrological conditions play a role in the ecohydrological dynamics but also they can play a dominating one even resulting in divergent vegetation patterns that exhibit convergent mean‐field properties, including a new set of hybrid patterns. Our results highlight the relevance of assessing both global ecological and hydrological signatures and quantitatively assessing patterns to describe and understand system dynamics and in particular to determine if the systems are transient or steady. Furthermore, our analysis shows that the trajectories the system follows during its transient stages cannot be neglected to understand complex dependencies of the long‐term steady state to environmental factors and drivers. Y1 - 2020 UR - https://onlinelibrary.wiley.com/doi/full/10.1002/eco.2199 U6 - https://doi.org/10.1002/eco.2199 SN - 1936-0584 VL - 13 IS - 3 ER - TY - GEN A1 - Caviedes-Voullième, Daniel A1 - Gerhard, Nils A1 - Sikstel, Aleksey A1 - Müller, Siegfried T1 - Multiwavelet-based mesh adaptivity with Discontinuous Galerkin schemes: Exploring 2D shallow water problems T2 - Advances in Water Resources N2 - In Gerhard et al. (2015a) a new class of adaptive Discontinuous Galerkin schemes has been introduced for shallow water equations, including the particular necessary properties, such as well-balancing and wetting-drying treatments. The adaptivity strategy is based on multiresolution analysis using multiwavelets in order to encode information across different mesh resolution levels. In this work, we follow-up on the previous proof-of-concept to thoroughly explore the performance, capabilities and weaknesses of the adaptive numerical scheme in the two-dimensional shallow water setting, under complex and realistic problems. To do so, we simulate three well-known and frequently used experimental benchmark tests in the context of flood modelling, ranging from laboratory to field scale. The real and complex topographies result in complex flow fields which pose a greater challenge to the adaptive numerical scheme and are computationally more ambitious, thus requiring a parallelised version of the aforementioned scheme. The benchmark tests allow to examine in depth the resulting adaptive meshes and the hydrodynamic performance of the scheme. We show that the scheme presented by Gerhard et al. (2015a) is accurate, i.e., allows to capture simultaneously large and very small flow structures, is robust, i.e., local grid refinement is controlled by just one parmeter that is auotmatically chosen and is more efficient in terms of the adaptive meshes than other shallow-water adaptive schemes achieving higher resolution with less cells. KW - Dynamic adaptive meshing KW - Multiresolution analysis KW - High-order schemes KW - Shallow water equation KW - Discontinuous Galerkin KW - Multiwavelets Y1 - 2020 UR - http://www.sciencedirect.com/science/article/pii/S0309170819309121 U6 - https://doi.org/10.1016/j.advwatres.2020.103559 SN - 0309-1708 VL - 138 ER - TY - GEN A1 - Özgen-Xian, Ilhan A1 - Kesserwani, Georges A1 - Caviedes-Voullième, Daniel A1 - Molins, Sergi A1 - Xu, Zexuan A1 - Dwivedi, Dipankar A1 - Moulton, J. David A1 - Steefel, Carl I. T1 - Wavelet-based local mesh refinement for rainfall–runoff simulations T2 - Journal of Hydroinformatics N2 - A wavelet-based local mesh refinement (wLMR) strategy is designed to generate multiresolution and unstructured triangular meshes from real digital elevation model (DEM) data for efficient hydrological simulations at the catchment scale. The wLMR strategy is studied considering slope- and curvature-based refinement criteria to analyze DEM inputs: the slope-based criterion uses bed elevation data as input to the wLMR strategy, whereas the curvature-based criterion feeds the bed slope data into it. The performance of the wLMR meshes generated by these two criteria is compared for hydrological simulations; first, using three analytical tests with the systematic variation in topography types and then by reproducing laboratory- and real-scale case studies. The bed elevation on the wLMR meshes and their simulation results are compared relative to those achieved on the finest uniform mesh. Analytical tests show that the slope- and curvature-based criteria are equally effective with the wLMR strategy, and that it is easier to decide which criterion to take in relation to the (regular) shape of the topography. For the realistic case studies: (i) slope analysis provides a better metric to assess the correlation of a wLMR mesh to the fine uniform mesh and (ii) both criteria predict outlet hydrographs with a close predictive accuracy to that on the uniform mesh, but the curvature-based criterion is found to slightly better capture the channeling patterns of real DEM data. KW - diffusion-wave hydrological modeling KW - multiresolution triangular mesh generation KW - overland flow at catchment scale KW - slope- vs. curvature-based topographic inputs KW - wavelet-based local mesh refinement Y1 - 2020 U6 - https://doi.org/10.2166/hydro.2020.198 SN - 1464-7141 SN - 1465-1734 VL - 22 IS - 5 SP - 1059 EP - 1077 ER - TY - GEN A1 - Schütt, Claudia A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Exploring the effects of rainfall variability on banded vegetation T2 - EGU General Assembly 2020, Online, 4–8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-13238 ER - TY - GEN A1 - Caviedes-Voullième, Daniel A1 - Gerhard, Nils A1 - Sikstel, Aleksey A1 - Müller, Siegfried T1 - Adaptive 2D shallow water simulation based on a MultiWavelet Discontinous Galerkin approach T2 - EGU General Assembly 2020, Online, 4–8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-14464 ER - TY - GEN A1 - Nones, Michael A1 - Caviedes-Voullième, Daniel T1 - Computational advances and innovations in flood risk mapping T2 - Journal of Flood Risk Management Y1 - 2020 UR - https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12666 U6 - https://doi.org/10.1111/jfr3.12666 SN - 1753-318X VL - 13 IS - 4 ER - TY - GEN A1 - Morales-Hernandez, Mario A1 - Özgen-Xian, Ilhan A1 - Caviedes-Voullième, Daniel T1 - Effects of microtopography across spatial scales: studying hydrological response through high-resolution shallow-water modelling T2 - EGU General Assembly 2020, Online, 4–8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-10655 ER - TY - GEN A1 - Rojas, Pedro A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Semi-automatic image analysis of spatiotemporal vegetation evolution in the Hühnerwasser catchment T2 - EGU General Assembly 2020, Online, 4–8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-13522 ER - TY - GEN A1 - Ahmadinia, Ebrahim A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Coupled effects of microtopography and time-dependant infiltration capacity on rainfall-runoff-infiltration partitioning on a hillslope T2 - EGU General Assembly 2020, Online, 4-8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-18200 ER -