 |
| Titel |
Influence of slope steepness on soil erosion modelling with RUSLE, measured with rainfall simulations on subalpine slopes. |
| VerfasserIn |
Simon Tresch, Katrin Meusburger, Christine Alewell |
| Konferenz |
EGU General Assembly 2015
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250114800
|
| Publikation (Nr.) |
 EGU/EGU2015-15617.pdf |
|
|
|
|
|
| Zusammenfassung |
| The topographical factor LS are one of the main factors for soil erosion modelling approaches within the RUSLE environment. There exists a large variety of different S-factors, for the most used soil erosion modelling environment, which have highly significant influences on the calculated erosion values. All existing S-factors have only been derived from gently slope inclinations (up to 32 %). Particularly in Switzerland, many cultivated areas are steeper than these critical values. Therefore, there exists a research gap for water soil erosion modelling of slopes beyond this slope inclinations.
For the first time rainfall simulation could be made on very steep subalpine slopes (Uri, CH) with a portable field hybrid rainfall simulator. 18 plot measurements on transects ranging from 20 - 90 % slope steepness, were used for a qualitative assessment of the most suitable S-factors for steep subalpine slopes. The collected sediment and runoff amounts indicated a highly significant correlation between the soil loss, runoff and slope steepness. It was possible to make a first selection of an S-factor for slopes above the critical 25 % steepness. Additionally, the C-factor could be extracted from a supervised digital image analysis in ArcGIS. |
|
|
|
|
|
|