Environmental Monitoring and Assessment

, Volume 180, Issue 1–4, pp 537–556 | Cite as

WEPP and ANN models for simulating soil loss and runoff in a semi-arid Mediterranean region

  • Issa Albaradeyia
  • Azzedine Hani
  • Isam Shahrour


This paper presents the use of both the Water Erosion Prediction Project (WEPP) and the artificial neural network (ANN) for the prediction of runoff and soil loss in the central highland mountainous of the Palestinian territories. Analyses show that the soil erosion is highly dependent on both the rainfall depth and the rainfall event duration rather than on the rainfall intensity as mostly mentioned in the literature. The results obtained from the WEPP model for the soil loss and runoff disagree with the field data. The WEPP underestimates both the runoff and soil loss. Analyses conducted with the ANN agree well with the observation. In addition, the global network models developed using the data of all the land use type show a relatively unbiased estimation for both runoff and soil loss. The study showed that the ANN model could be used as a management tool for predicting runoff and soil loss.


Land use Soil properties Runoff Water erosion Erodibility Erosivity WEPP Artificial neural network Palestine 


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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Issa Albaradeyia
    • 1
  • Azzedine Hani
    • 1
    • 2
  • Isam Shahrour
    • 1
  1. 1.Laboratoire de Génie Civil et géo-Environnement (LGCgE)Université des Sciences et Technologies de LilleVilleneuve d’AscqFrance
  2. 2.Laboratoire de GéologieUniversité Badji Mokhtar AnnabaAnnabaAlgérie

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