% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Vereecken:15982,
author = {Vereecken, H. and Vanderborght, J. and Kasteel, R. and
Spiteller, M. and Schaffer, A. and Close, M.},
title = {{D}o {L}ab-{D}erived {D}istribution {C}oefficient {V}alues
of {P}esticides {M}atch {D}istribution {C}oefficient
{V}alues {D}etermined from {C}olumn and {F}ield-{S}cale
{E}xperiments? {A} {C}ritical {A}nalysis of {R}elevant
{L}iterature},
journal = {Journal of environmental quality},
volume = {40},
issn = {0047-2425},
address = {Madison, Wis.},
publisher = {ASA [u.a.]},
reportid = {PreJuSER-15982},
pages = {879 - 898},
year = {2011},
note = {Record converted from VDB: 12.11.2012},
abstract = {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.},
keywords = {Adsorption / Data Interpretation, Statistical /
Environmental Monitoring / Geologic Sediments: analysis /
Kinetics / Pesticides: analysis / Regression Analysis /
Soil: analysis / Soil Pollutants: analysis / Water
Pollutants: analysis / Pesticides (NLM Chemicals) / Soil
(NLM Chemicals) / Soil Pollutants (NLM Chemicals) / Water
Pollutants (NLM Chemicals) / J (WoSType)},
cin = {IBG-3},
ddc = {333.7},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Environmental Sciences},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:21546674},
UT = {WOS:000289886000022},
doi = {10.2134/jeq2010.0404},
url = {https://juser.fz-juelich.de/record/15982},
}