Dissertation thesis: Contribution to the evaluation of different approaches to the modelling of soil loss by water erosion in GIS, is a set of five studies published or accepted for publication in scientific journals. Thematically the work deals with the question of linking the erosion modelling together with geographic information systems. The work is divided into five chapters. In the first chapter, the issue of erosion and rainfall-runoff modelling is described. A particular focus is placed on the concept and the basic equations underlying erosion modelling. The second chapter contains 2 studies that deal with modelling rainfall-runoff conditions in the area of experimental area using KINFIL model. The chapter also discusses the selection of a suitable model and source datasets that forms the basis for the evaluation of physiographic parameters of a catchment. The third chapter is thematically focused in calculating the rainfall factor based on long-term precipitation records from 32 meteorological stations in the Czech Republic. It partially overlaps with the previous chapter because one of the outcomes of the study is the REDES database containing values of R-factor. However, the chapter focuses more on the time scale, and especially the influence of the time step in the simulation on resulting outcomes of the model. The fourth chapter is dealing by erosion modelling in GIS based on analysis of digital terrain models. It contains a study that addresses the influence of various algorithms and/or equations to calculate topographical factor and its effect on the overall prediction of soil loss.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:259596 |
| Date | January 2015 |
| Creators | Hrabalíková, Michaela |
| Contributors | Janeček, Miloslav, Jan, Jan |
| Publisher | Česká zemědělská univerzita v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0707 seconds