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Soil erosion estimation based on rainfall disaggregation

Jebari, Sihem LU ; Berndtsson, Ronny LU ; Olsson, Jonas and Bahri, Akissa (2012) In Journal of Hydrology 436. p.102-110
Abstract (Swedish)
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Cascade disaggregation model, Short time scale rainfall, Fractal, Erosivity factor, RUSLE/GIS approach, Spatial erosion distribution
in
Journal of Hydrology
volume
436
pages
102 - 110
publisher
Elsevier
external identifiers
  • wos:000303304000008
  • scopus:84859443030
ISSN
0022-1694
DOI
10.1016/j.jhydrol.2012.03.001
language
English
LU publication?
yes
id
d9e58df6-f819-415e-8002-7dc385c7cab6 (old id 2205560)
date added to LUP
2011-11-29 14:11:56
date last changed
2017-06-25 04:14:23
@article{d9e58df6-f819-415e-8002-7dc385c7cab6,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
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.},
  author       = {Jebari, Sihem and Berndtsson, Ronny and Olsson, Jonas and Bahri, Akissa},
  issn         = {0022-1694},
  keyword      = {Cascade disaggregation model,Short time scale rainfall,Fractal,Erosivity factor,RUSLE/GIS approach,Spatial erosion distribution},
  language     = {eng},
  pages        = {102--110},
  publisher    = {Elsevier},
  series       = {Journal of Hydrology},
  title        = {Soil erosion estimation based on rainfall disaggregation},
  url          = {http://dx.doi.org/10.1016/j.jhydrol.2012.03.001},
  volume       = {436},
  year         = {2012},
}