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@ARTICLE{Wolters:40455,
      author       = {Wolters, A. and Klein, M. and Vereecken, H.},
      title        = {{A}n improved description of the pesticide volatilization
                      from soil: refinement of the {P}esticide {L}eaching {M}odel
                      ({PELMO})},
      journal      = {Journal of environmental quality},
      volume       = {33},
      issn         = {0047-2425},
      address      = {Madison, Wis.},
      publisher    = {ASA [u.a.]},
      reportid     = {PreJuSER-40455},
      pages        = {1629 - 1637},
      year         = {2004},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {The consideration of pesticide volatilization from soil
                      surfaces as an integral component of pesticide fate models
                      is of importance, especially as part of the Predicted
                      Environmental Concentrations (PEC) models used in the
                      registration procedures for pesticides. The Pesticide
                      Leaching Model (PELMO), which is used in the European
                      registration process, was modified to allow for a reliable
                      prediction of volatilization from soil. The previous PELMO
                      version was upgraded by improving the spatiotemporal
                      discretization at the soil surface, improving the empirical
                      description of temperature dependence of Henry's law
                      constants and including increased sorption of pesticides in
                      dry soils. Comparison of predictions with experimental
                      findings revealed the improvements of PELMO to contribute to
                      a more realistic reflection of measurements, particularly at
                      initial stages of the studies. The broad range of literature
                      values of Henry's law constants was shown to have a
                      significant effect on predicted volatilization fluxes. As a
                      main refinement, the tendency of pesticides toward enhanced
                      volatilization under moist conditions was correctly
                      calculated by the improved model. Variations between model
                      predictions and measurements were due to a lack of
                      experimental data on soil sorption under dry conditions and
                      indicated the need for further calibration of the model. The
                      description of water content in the top layer was subject to
                      uncertainty, which was exemplified by an overestimation of
                      soil moisture during the last days of the field study. Thus,
                      future model improvement will be dependent on experimental
                      support to obtain more detailed information on
                      soil-air-water partitioning of pesticides in the top soil
                      layer.},
      keywords     = {J (WoSType)},
      cin          = {ICG-IV},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)VDB50},
      pnm          = {Chemie und Dynamik der Geo-Biosphäre},
      pid          = {G:(DE-Juel1)FUEK257},
      shelfmark    = {Environmental Sciences},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000223987000004},
      url          = {https://juser.fz-juelich.de/record/40455},
}