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@ARTICLE{Tetzlaff:201143,
      author       = {Tetzlaff, Björn and Wendland, Frank},
      title        = {{M}odelling {S}ediment {I}nput to {S}urface {W}aters for
                      {G}erman {S}tates with {MEP}hos: {M}ethodology,
                      {S}ensitivity and {U}ncertainty},
      journal      = {Water resources management},
      volume       = {26},
      number       = {1},
      issn         = {1573-1650},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V},
      reportid     = {FZJ-2015-03448},
      pages        = {165 - 184},
      year         = {2012},
      abstract     = {Soil erosion on arable land and on steep vineyards is a
                      major problem in the state of Hesse (21,115 km²) in central
                      Germany. The aim of a joint study between the Research
                      Centre Jülich, the Hessian Agency for the Environment and
                      Geology and the Hessian Ministry for the Environment,
                      Energy, Agriculture and Consumer Protection was to delineate
                      parcels which are severely affected by erosion and to
                      identify sediment source areas. For this purpose, the ABAG,
                      an adaptation of the USLE approach to German conditions, has
                      been employed with the best available data sets on K-, C-,
                      R- and LS-factor. Model results at the field scale show that
                      soil losses in Hesse vary between <0.5 and >15
                      tonnes/hectare/year. The mean loss amounts to ca. 4.3
                      tonnes/hectare/year. The sediment delivery ratios for 450
                      sub-catchments range between 0.5 and $78\%$ with a mean of
                      $18\%.$ Further analysis showed that LS- and C-factor are of
                      highest sensitivity for the model output. Therefore, the
                      effects of alternative algorithms or sources for LS- and
                      C-factor on the results were assessed. An uncertainty
                      analysis based on Gaussian error propagation and Monte Carlo
                      simulation showed that the uncertainty of model results
                      induced by input parameters is 1.7 tonnes/hectare/year or
                      $34\%$ of the mean annual soil loss. The model results are a
                      good basis for further works concerning a soil erosion atlas
                      and internet-based soil data viewer.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {246 - Modelling and Monitoring Terrestrial Systems: Methods
                      and Technologies (POF2-246) / 255 - Terrestrial Systems:
                      From Observation to Prediction (POF3-255)},
      pid          = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000297837200010},
      doi          = {10.1007/s11269-011-9911-1},
      url          = {https://juser.fz-juelich.de/record/201143},
}