TY - GEN A1 - Caviedes-Voullième, Daniel A1 - Morales-Hernández, Mario A1 - Juez, Carmelo A1 - Lacasta, Asier A1 - García-Navarro, Pilar T1 - Two-Dimensional Numerical Simulation of Bed-Load Transport of a Finite-Depth Sediment Layer: Applications to Channel Flushing T2 - Journal of Hydraulic Engineering N2 - Numerical modeling of bed-load transport in shallow flows, particularly oriented toward environmental flows, is an active field of research. Nevertheless, other possible applications exist. In particular, bed-load transport phenomena are relevant in urban drainage systems, including sewers. However, few applications of coupled two-dimensional (2D) shallow-water and bed-load transport models can be found, and their transfer from environmental applications — usually river and floodplain — into sewer applications requires some adaptation. Unlike to river systems, where there is a thick layer of sediment that constitutes a movable riverbed, sewer systems have thin layers of sediment that need to be removed, thus exposing a rigid, nonerodible surface. This problem requires careful numerical treatment to avoid generating errors and instability in the simulation. This paper deals with a numerical approach to tackle this issue in an efficient way that allows large-scale studies to be performed and provides empirical evidence that the proposed approach is accurate and applicable for sewage and channel-flushing problems. KW - Shallow water KW - Exner equation KW - Maximum erodability KW - Finite-depth sediment layer KW - Thin sediment layer KW - Partially erodible bed KW - Channel flushing KW - Graphics-processing unit (GPU) computing Y1 - 2017 U6 - https://doi.org/10.1061/(ASCE)HY.1943-7900.0001337 SN - 0733-9429 SN - 1943-7900 VL - 143 IS - 9 SP - 04017034 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 -