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| rdf:type
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| Description
| - The importance of soil loss by water erosion becomes more eminent with the ongoing climate change, where more extreme precipitations in middle Europe are anticipated. The amount of soil transported from the field plot can substantially differ according to the intensity of rill erosion. The capability of mathematical models to predict appearance of extreme soil erosion spots on arable land (rills and gullies) are addressed in this paper. Three surface runofferosion models were tested by comparing their outcomes with rills identified from orthophoto maps. Empirical methods are represented by Universal soil loss eq. (USLE). The equation is a simple method of the long term modeling of the sediment yield. Limitations of this method are in estimating soil loss from rainfall episodes and application of this equation in areas with concentrated flow is debatable. Second tool used is physically based model SMODERP which is being developed on CTU Prague since 1990s. Soil characteristics are based on Czech soil taxonomy system. The model SMODERP is excellent tool for modeling of sheet and concentrated surface runoff. Hydrological part of the model includes the processes of infiltration (Phillips equation), sheet surface runoff (Kinematic wave based equation), rill runoff, surface retention. Third tested modeling approach is based on Erosion-3D simulation model, developed at TU Freiberg (Germany). Erosion-3D is physically based and fully distributed rainfall-runoff model allowing calculation of transported sediment. The model can be run for single event, repeated events or sequence of events and the outputs include characteristics of runoff and soil transported in three particle size fractions. The soil input parameters are based on German standard of soil classification KA4. The uncertainties in inputs strongly influence the absolute values of soil erosion, but spatial distribution of netto erosion can be useful in identification of rill erosion appearance.
- The importance of soil loss by water erosion becomes more eminent with the ongoing climate change, where more extreme precipitations in middle Europe are anticipated. The amount of soil transported from the field plot can substantially differ according to the intensity of rill erosion. The capability of mathematical models to predict appearance of extreme soil erosion spots on arable land (rills and gullies) are addressed in this paper. Three surface runofferosion models were tested by comparing their outcomes with rills identified from orthophoto maps. Empirical methods are represented by Universal soil loss eq. (USLE). The equation is a simple method of the long term modeling of the sediment yield. Limitations of this method are in estimating soil loss from rainfall episodes and application of this equation in areas with concentrated flow is debatable. Second tool used is physically based model SMODERP which is being developed on CTU Prague since 1990s. Soil characteristics are based on Czech soil taxonomy system. The model SMODERP is excellent tool for modeling of sheet and concentrated surface runoff. Hydrological part of the model includes the processes of infiltration (Phillips equation), sheet surface runoff (Kinematic wave based equation), rill runoff, surface retention. Third tested modeling approach is based on Erosion-3D simulation model, developed at TU Freiberg (Germany). Erosion-3D is physically based and fully distributed rainfall-runoff model allowing calculation of transported sediment. The model can be run for single event, repeated events or sequence of events and the outputs include characteristics of runoff and soil transported in three particle size fractions. The soil input parameters are based on German standard of soil classification KA4. The uncertainties in inputs strongly influence the absolute values of soil erosion, but spatial distribution of netto erosion can be useful in identification of rill erosion appearance. (en)
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| Title
| - COMPARISON OF SOIL EROSION RILLS IDENTIFICATION BY MATHEMATICAL MODELS AND AERIAL PHOTOGRAPHS
- COMPARISON OF SOIL EROSION RILLS IDENTIFICATION BY MATHEMATICAL MODELS AND AERIAL PHOTOGRAPHS (en)
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| skos:prefLabel
| - COMPARISON OF SOIL EROSION RILLS IDENTIFICATION BY MATHEMATICAL MODELS AND AERIAL PHOTOGRAPHS
- COMPARISON OF SOIL EROSION RILLS IDENTIFICATION BY MATHEMATICAL MODELS AND AERIAL PHOTOGRAPHS (en)
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| skos:notation
| - RIV/68407700:21110/14:00218183!RIV15-MSM-21110___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21110/14:00218183
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| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - SMODERP; Erosion-3D; erosion; modeling; USLE (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...v/mistoKonaniAkce
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| http://linked.open...i/riv/mistoVydani
| |
| http://linked.open...i/riv/nazevZdroje
| - 14th International Multidisciplinary Scientific Geoconference SGEM 2014, Conference Proceedings vol. II
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Dostál, Tomáš
- Devátý, Jan
- Krása, Josef
- Kavka, Petr
- Vláčilová, Markéta
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| http://linked.open...vavai/riv/typAkce
| |
| http://linked.open.../riv/zahajeniAkce
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| issn
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| number of pages
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| http://bibframe.org/vocab/doi
| |
| http://purl.org/ne...btex#hasPublisher
| |
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
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