TY  - JOUR
AU  - Vereecken, H.
AU  - Vanderborght, J.
AU  - Kasteel, R.
AU  - Spiteller, M.
AU  - Schaffer, A.
AU  - Close, M.
TI  - Do Lab-Derived Distribution Coefficient Values of Pesticides Match Distribution Coefficient Values Determined from Column and Field-Scale Experiments? A Critical Analysis of Relevant Literature
JO  - Journal of environmental quality
VL  - 40
SN  - 0047-2425
CY  - Madison, Wis.
PB  - ASA [u.a.]
M1  - PreJuSER-15982
SP  - 879 - 898
PY  - 2011
N1  - Record converted from VDB: 12.11.2012
AB  - In this study, we analyzed sorption parameters for pesticides that were derived from batch and column or batch and field experiments. The batch experiments analyzed in this study were run with the same pesticide and soil as in the column and field experiments. We analyzed the relationship between the pore water velocity of the column and field experiments, solute residence times, and sorption parameters, such as the organic carbon normalized distribution coefficient ( ) and the mass exchange coefficient in kinetic models, as well as the predictability of sorption parameters from basic soil properties. The batch/column analysis included 38 studies with a total of 139 observations. The batch/field analysis included five studies, resulting in a dataset of 24 observations. For the batch/column data, power law relationships between pore water velocity, residence time, and sorption constants were derived. The unexplained variability in these equations was reduced, taking into account the saturation status and the packing status (disturbed-undisturbed) of the soil sample. A new regression equation was derived that allows estimating the values derived from column experiments using organic matter and bulk density with an value of 0.56. Regression analysis of the batch/column data showed that the relationship between batch- and column-derived values depends on the saturation status and packing of the soil column. Analysis of the batch/field data showed that as the batch-derived value becomes larger, field-derived values tend to be lower than the corresponding batch-derived values, and vice versa. The present dataset also showed that the variability in the ratio of batch- to column-derived value increases with increasing pore water velocity, with a maximum value approaching 3.5.
KW  - Adsorption
KW  - Data Interpretation, Statistical
KW  - Environmental Monitoring
KW  - Geologic Sediments: analysis
KW  - Kinetics
KW  - Pesticides: analysis
KW  - Regression Analysis
KW  - Soil: analysis
KW  - Soil Pollutants: analysis
KW  - Water Pollutants: analysis
KW  - Pesticides (NLM Chemicals)
KW  - Soil (NLM Chemicals)
KW  - Soil Pollutants (NLM Chemicals)
KW  - Water Pollutants (NLM Chemicals)
KW  - J (WoSType)
LB  - PUB:(DE-HGF)16
C6  - pmid:21546674
UR  - <Go to ISI:>//WOS:000289886000022
DO  - DOI:10.2134/jeq2010.0404
UR  - https://juser.fz-juelich.de/record/15982
ER  -