Meny

Javascript verkar inte påslaget? - Vissa delar av Lunds universitets webbplats fungerar inte optimalt utan javascript, kontrollera din webbläsares inställningar.
Du är här

Soil erosion estimation based on rainfall disaggregation

Författare:
Publiceringsår: 2012
Språk: Engelska
Sidor: 102-110
Publikation/Tidskrift/Serie: Journal of Hydrology
Volym: 436
Dokumenttyp: Artikel i tidskrift
Förlag: Elsevier

Sammanfattning

Abstract in Undetermined

Soil loss estimation remains one of the most difficult research tasks all over the world. Current simulation tools are still not detailed enough to allow for realistic scenarios to handle soil erosion problems. A common problem is the lack of rainfall data at a sufficient level of detail. The present study uses a cascade disaggregation model to generate short time scale rainfall data, needed to calculate the erosivity index in erosion modeling. The model is used to determine the spatial soil loss rate by the Revised Universal Soil Loss Equation and a GIS approach. Comparison between observed and generated data in terms of erosive rainfall characteristics shows that the erosivity factor is over-estimated. This is caused by an overestimation of short rainfall events. Consequently, different duration limits beyond which erosive events could be considered within the generated series were used to estimate the model performance curve. This provided a suitable duration limit needed to reproduce the observed erosivity. The results showed that generated series only considering rainfall events superior than 90 min are appropriate. This procedure provides a soil loss rate less than 10% under-estimation. Moreover, using Masson, Wischmeier-Smith's and recent erosion limit intervals gave a realistic spatial erosion distribution. The results are promising and can be used to better manage erosion-prone soils.

Nyckelord

  • Water Engineering
  • Other Social Sciences
  • Cascade disaggregation model
  • Short time scale rainfall
  • Fractal
  • Erosivity factor
  • RUSLE/GIS approach
  • Spatial erosion distribution

Övriga

Published
  • ISSN: 0022-1694

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu.se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen