A New Procedure to Estimate the RUSLE EI30 Index, Based on Monthly Rainfall Data and Applied to the Algarve Region, Portugal. de Santos Loureiro, N. and de Azevedo Coutinho, M. 250(1-4):12–18.
A New Procedure to Estimate the RUSLE EI30 Index, Based on Monthly Rainfall Data and Applied to the Algarve Region, Portugal [link]Paper  doi  abstract   bibtex   
One of the best indicators of the potential erosion risks is the rainfall-runoff erosivity factor (R) of the revised universal soil loss equation (RUSLE). Frequently, however, there is not enough data available to compute the R value, and other parameters, such as the modified Fournier index (Fmod), are used instead. But RUSLE is less effective if only the alternative procedures exist. One of the major discrepancies between R and the alternative parameters is time resolution: individual storms are used to calculate R while monthly averages over the year are used to calculate Fmod. In this study, a multiple linear regression (r2=0.89) involving monthly EI30, monthly rainfall for days with ≥10.0~mm and monthly number of days with rainfall ≥10.0~mm, for the Algarve region, is presented. Twenty-seven years of monthly rainfall erosivity values were computed for the 32 standard daily-read raingauge stations of the Algarve region.
@article{desantosloureiroNewProcedureEstimate2001,
  title = {A New Procedure to Estimate the {{RUSLE EI30}} Index, Based on Monthly Rainfall Data and Applied to the {{Algarve}} Region, {{Portugal}}},
  author = {de Santos Loureiro, Nuno and de Azevedo Coutinho, Miguel},
  date = {2001-09},
  journaltitle = {Journal of Hydrology},
  volume = {250},
  pages = {12--18},
  issn = {0022-1694},
  doi = {10.1016/s0022-1694(01)00387-0},
  url = {https://doi.org/10.1016/s0022-1694(01)00387-0},
  abstract = {One of the best indicators of the potential erosion risks is the rainfall-runoff erosivity factor (R) of the revised universal soil loss equation (RUSLE). Frequently, however, there is not enough data available to compute the R value, and other parameters, such as the modified Fournier index (Fmod), are used instead. But RUSLE is less effective if only the alternative procedures exist. One of the major discrepancies between R and the alternative parameters is time resolution: individual storms are used to calculate R while monthly averages over the year are used to calculate Fmod. In this study, a multiple linear regression (r2=0.89) involving monthly EI30, monthly rainfall for days with ≥10.0~mm and monthly number of days with rainfall ≥10.0~mm, for the Algarve region, is presented. Twenty-seven years of monthly rainfall erosivity values were computed for the 32 standard daily-read raingauge stations of the Algarve region.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-12007622,algarve,empirical-equation,erosivity,portugal,rainy-days_daily-rainfall,soil-erosion,soil-resources},
  number = {1-4},
  options = {useprefix=true}
}
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