TY - JOUR
T1 - Does deposition depth control the OSL bleaching of fluvial sediment?
AU - Cunningham, A. C.
AU - Wallinga, J.
AU - Hobo, N.
AU - Versendaal, A. J.
AU - Makaske, B.
AU - Middelkoop, H.
PY - 2014/7/1
Y1 - 2014/7/1
N2 - The Optically Stimulated Luminescence (OSL) signal from fluvial sediment
often contains a remnant from the previous deposition cycle, leading to
a partially bleached equivalent-dose distribution. Although
identification of the burial dose is of primary concern, the degree of
bleaching could potentially provide insights into geomorphic processes.
However, comparison of bleaching between samples is complicated by
sample-to-sample variation in aliquot size and luminescence sensitivity.
Here we develop an age model to account for these effects. With
measurement data from multi-grain aliquots, we use Bayesian
computational statistics to estimate the burial dose and bleaching
parameters of the single-grain dose distribution. We apply the model to
46 samples taken from fluvial sediment of Rhine branches in the
Netherlands, and compare the results with environmental predictor
variables (depositional energy and environment, sample depth, depth
relative to mean water level, dose rate). We find no significant
correlations between any predictor variable and the bleaching
parameters, although large uncertainties may be obscuring relationships.
However, the best bleached samples are found close to the mean water
level. Based on these results, we hypothesize that bleaching occurs
mainly during fluvial transport rather than upon deposition, with extra
bleaching possible for sediments near the transition of channel to
overbank deposits due to local reworking after deposition either by wind
or water.
AB - The Optically Stimulated Luminescence (OSL) signal from fluvial sediment
often contains a remnant from the previous deposition cycle, leading to
a partially bleached equivalent-dose distribution. Although
identification of the burial dose is of primary concern, the degree of
bleaching could potentially provide insights into geomorphic processes.
However, comparison of bleaching between samples is complicated by
sample-to-sample variation in aliquot size and luminescence sensitivity.
Here we develop an age model to account for these effects. With
measurement data from multi-grain aliquots, we use Bayesian
computational statistics to estimate the burial dose and bleaching
parameters of the single-grain dose distribution. We apply the model to
46 samples taken from fluvial sediment of Rhine branches in the
Netherlands, and compare the results with environmental predictor
variables (depositional energy and environment, sample depth, depth
relative to mean water level, dose rate). We find no significant
correlations between any predictor variable and the bleaching
parameters, although large uncertainties may be obscuring relationships.
However, the best bleached samples are found close to the mean water
level. Based on these results, we hypothesize that bleaching occurs
mainly during fluvial transport rather than upon deposition, with extra
bleaching possible for sediments near the transition of channel to
overbank deposits due to local reworking after deposition either by wind
or water.
U2 - 10.5194/esurfd-2-575-2014
DO - 10.5194/esurfd-2-575-2014
M3 - Article
SN - 2196-6338
VL - 2
SP - 575
EP - 603
JO - Earth Surface Dynamics Discussions
JF - Earth Surface Dynamics Discussions
IS - 2
ER -