Abstract
Abstract. SMODERP2D is a runoff-soil erosion physically-based distributed episodic model used for calculation and prediction processes at agricultural areas and small watersheds. The core of the model is a raster based cell-by-cell mass balance calculation which includes the key hydrological processes, such as effective precipitation, surface runoff and stream network routing. Effective precipitation, the forcing of the runoff and erosion processes, is reduced by surface retention and infiltration. Surface runoff consists of two components: slower sheet and concentrated rapid rill flow. Stream network routing is performed line-by-line in the user predefined polyline layer.SMODERP is a long-term project driven by the Department of Landscape Water Conservation at the Czech Technical University in Prague. At the beginning, SMODERP has been developed as a surface runoff simulated by profile model (1D). Later the model has been redesigned using a spatially distributed method. This version is named SMODERP2D. Ongoing development is focused on obtaining parameters of the hydrological models, incorporating new infiltration and flow routing routines, and conceptualization of a rill flow and rill development. The model belongs to a family of so-called GIS-based hydrological models utilizing capabilities of GIS software for geospatial data processing. Importantly, the SMODERP2D project is currently entering an open source world. Originally the model could be run only in proprietary Esri ArcGIS platform. A new version of the model presented by this manuscript adds support for two key open source GIS platforms, GRASS GIS and QGIS. A newly developed GRASS module and QGIS plugin significantly increases the accessibility of the SMODERP2D model for research purposes and also for engineering practice.Middle scale distributed hydrological models often encounter with high computation costs and long model runtime. Long runtime is caused by high-resolution input data which is easily available nowadays. The project also includes an experimental version of the SMODERP2D model enabling the parallelization of computations. This parallelization is done using TensorFlow, and its goal is to decrease the time needed for its run. It is supported by both CPU and GPU. Parallelization of computations is an important step towards providing SMODERP2D web processing services in order to allow quick and easy integration to highly specialized platforms such as Atlas Ltd.
Highlights
Erosion / hydrological models (EH) are being used for various research or engineering purposes
Runoff water volume and transported soil amounts or discharge time series are being calculated in order to design the protection measures sufficient for a given flood or soil transport event
EH models are being used to proof a new theory or to test hypotheses related to mechanism controlling the runoff and soil transport
Summary
Erosion / hydrological models (EH) are being used for various research or engineering purposes. Runoff water volume and transported soil amounts or discharge time series are being calculated in order to design the protection measures sufficient for a given flood or soil transport event Another example of a practical application of EH models may be land-use change, build up areas development studies or effect of those on water or soil transport regime. Data availability and larger computation resources lead more often to the use of finer spatial resolution It was noted in (Molnar, Julien, 2000) that raster grid cell size is interchangeable in the terms of a spatial discretization if the model parameters were calibrated on the model with the same raster grid size. CFL criterion forces the time step to decrease if: a) velocity of flow process increases or; b) the spatial discretization becomes finer. The model calculates the surface runoff and soil loss processes with the use of GIS software for the data pre- and postprocessing. Those new features and some of the principles used in the SMODERP2D model are presented in this manuscript
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
