Luminescence age modeling of variably-bleached sediment: Model selection and input

Chamberlain, E. L.; Wallinga, Jakob; Shen, Zhixiong

doi:10.1016/j.radmeas.2018.06.007

Cited by 19 publications

(18 citation statements)

References 38 publications

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“…For appropriately selected σb values (particularly since applied with an uncertainty, in this study 0.35±0.05 and 0.40±0.05), the MAMbs should also be adequate for well-bleached deposits ( Fig. 5b; Chamberlain et al, 2018). This should also be valid for samples with bimodal De distributions (as shown in Fig.…”

Section: Palaeodose and Age Calculation For Tsunami And Cyclone Depositsmentioning

confidence: 82%

Testing the accuracy of feldspar single grains to date late Holocene cyclone and tsunami deposits

Brill

Reimann

Wallinga

et al. 2018

Quaternary Geochronology

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Quartz is the preferred dosimeter for luminescence dating of Holocene sediments as optically stimulated luminescence (OSL) signals reset rapidly upon light exposure, and are stable over time. However, feldspar is required where quartz luminescence properties are inappropriate for dating, as is often the case in geologically young mountain ranges and areas with young volcanism. Here we aim to evaluate the potential of single grain feldspar luminescence dating applied to late Holocene cyclone and tsunami deposits, for which complete signal resetting can a priori not be guaranteed. To address potential problems of feldspar dating of such deposits associated with heterogeneous bleaching, remnant doses and anomalous fading, we use a low-temperature post infrared infrared stimulated luminescence protocol (pIRIR150) on single grains. For most samples, good agreement between fading corrected IR50 and non-fading corrected pIRIR150 ages is observed. Both feldspar ages generally also show good agreement with age control provided by historical data and quartz luminescence ages. pIRIR150 remnant ages in modern analogue samples are shown to be <50 years, indicating that dating accuracy might be negatively affected by insufficient signal zeroing only for sediments younger than ~500 years. As these minor remnant ages are interpreted as being caused by unbleachable luminescence residuals, slight age overestimation for young samples can be overcome by subtracting the remnant ages. The good agreement between pIRIR 150 , IR 50 and quartz ages, indicates that a significant number of grains must have experienced relatively complete signal resetting during or immediately prior to transport, as the three signals are known to bleach at different rates. Since light exposure during the event is expected to be limited, we deduce that a significant portion of the grains in the cyclone and tsunami deposits was already bleached prior to the event of interest. These well-bleached grains were likely eroded the beach, while other grains with larger remnant ages probably originate from the shallow subtidal, coastal barriers or even further inland sources. Additional signal resetting during storm and tsunami transport is indicated by slightly younger quartz than feldspar ages for grains with incomplete pre-transport resetting that were eroded at the Holocene coastal barrier.

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Section: Palaeodose and Age Calculation For Tsunami And Cyclone Depositsmentioning

confidence: 82%

Testing the accuracy of feldspar single grains to date late Holocene cyclone and tsunami deposits

Brill

Reimann

Wallinga

et al. 2018

Quaternary Geochronology

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“…the over‐dispersion that would be obtained for a well‐bleached unmixed sample of these sediments). Assuming that some of our samples are well‐bleached and unmixed, we can obtain the minimum over‐dispersion as the best estimate of σ b for our set of samples ( n = 32), by applying the bootstrapped MAM to the corresponding dataset of over‐dispersion values of our samples calculated through the CAM (Chamberlain et al, ). We expect no over‐dispersion in our dataset of over‐dispersions.…”

Section: Methodsmentioning

confidence: 99%

“…due to partial bleaching or mixing), then part of the measured D e distribution should be ignored for palaeodose estimation. The MAM provides a means to do this (Galbraith et al, 1999;Galbraith and Roberts, 2012) and the bootstrapped version of the model (Cunningham and Wallinga, 2012) has been shown to provide robust results for small aliquots of both well-bleached and heterogeneously bleached quartz (Chamberlain et al, 2018). A drawback of the MAM is that it is very sensitive to D e outliers at the low end of the distribution.…”

Section: Age Modelling For Determining Stabilization Agesmentioning

confidence: 99%

Reconstructing rates and patterns of colluvial soil redistribution in agrarian (hummocky) landscapes

Meij

Reimann

Vornehm

et al. 2019

Earth Surf Processes Landf

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Humans have triggered or accelerated erosion processes since prehistoric times through agricultural practices. Optically stimulated luminescence (OSL) is widely used to quantify phases and rates of the corresponding landscape change, by measuring the last moment of daylight exposure of sediments. However, natural and anthropogenic mixing processes, such as bioturbation and tillage, complicate the use of OSL as grains of different depositional ages become mixed, and grains become exposed to light even long after the depositional event of interest. Instead, OSL determines the stabilization age, indicating when sediments were buried below the active mixing zone. These stabilization ages can cause systematic underestimation when calculating deposition rates. Our focus is on colluvial deposition in a kettle hole in the Uckermark region, northeastern Germany. We took 32 samples from five locations in the colluvium filling the kettle hole to study both spatial and temporal patterns in colluviation. We combined OSL dating with advanced age modelling to determine the stabilization age of colluvial sediments. These ages were combined with an archaeological reconstruction of historical ploughing depths to derive the levels of the soil surface at the moment of stabilization; the deposition depths, which were then used to calculate unbiased deposition rates. We identified two phases of colluvial deposition. The oldest deposits (~5 ka) were located at the fringe of the kettle hole and accumulated relatively slowly, whereas the youngest deposits (<0.3 ka) rapidly filled the central kettle hole with rates of two orders of magnitude higher. We suggest that the latter phase is related to artificial drainage, facilitating accessibility in the central depression for agricultural practices. Our results show the need for numerical dating techniques that take archaeological and soil‐geomorphological information into account to identify spatiotemporal patterns of landscape change, and to correctly interpret landscape dynamics in anthropogenically influenced hilly landscapes. © 2019 The Authors. Earth Surface Processes and Landforms Published by John Wiley & Sons Ltd.

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“…In contrast, some systems may bleach sediment by more than one process. For example, sediment in a deltaic system may experience bleaching by sunlight exposure of grains deposited on subaerial surfaces such as bars and by in‐transport bleaching when grains are suspended in a flow (Chamberlain et al, ; Chamberlain, Törnqvist, et al, , Chamberlain, Wallinga, et al, ). Understanding how bleaching occurs serves to define what information one can obtain from the luminescence signal.…”

Section: Luminescence and Its Characteristics In Geomorphic Environmentsmentioning

confidence: 99%

“…As with deltaic systems, coastal systems involve an ensemble of processes and factors, such as climate‐modulated storm frequency and magnitude, that control wave action, which in turn controls sediment sourcing, transport, reworking, and light exposure (Fruergaard et al, ; López et al, ; Reimann et al, ; Sawakuchi et al, ; Zular et al, ). As such, incompletely bleached sediment is not uncommon in coastal systems (Richardson, ; Jacobs, ; Alexanderson & Murray, ), although well‐bleached samples can be found (Murray et al, ; Madsen & Murray, ; Chamberlain, Wallinga, et al, ). Further inland, such as in mixing soils on hillslopes, bleaching occurs entirely by surface exposure where grains reach the surface via mixing processes and are then reburied (Reimann et al, ).…”

Section: Luminescence and Its Characteristics In Geomorphic Environmentsmentioning

confidence: 99%

Luminescence as a Sediment Tracer and Provenance Tool

Gray

Jain

Sawakuchi

et al. 2019

Reviews of Geophysics

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Luminescence holds unique potential as a sediment tracer and provenance method. The tracer application of luminescence has key advantages including ease of measurement, relatively low cost, and applicability to geologically ubiquitous quartz and feldspar sand and silt. These advantages can help answer fundamental questions about geomorphology, sediment transport, sediment production, and the tectonic/climatic controls on source‐to‐sink sedimentary systems. There is a notable body of research on luminescence as a sediment tracer. These tracer methods range from identifying source locations based on unique luminescence characteristics, to observing changes in luminescence characteristics with transport, to using residual luminescence to infer rates of transport. Previous applications of luminescence include provenance and quantification of fluvial transport rate, tracing of coastal longshore drift, estimations of mixing rates in soil or sediment, and provenance of wind‐blown deposits. The few studies that compare luminescence methods with nonluminescence tracer methods show good agreement. However, more work is needed to test the application of luminescence tracers in sediments. Future research directions should focus on comparing luminescence‐based with nonluminescence tracer methods. Furthermore, research is needed on the effects of specific geomorphic processes on luminescence characteristics and residual doses. While there is significant potential for future research, luminescence is already a useful sediment tracer and provenance tool applicable to a wide range of geomorphic environments.

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Luminescence age modeling of variably-bleached sediment: Model selection and input

Cited by 19 publications

References 38 publications

Testing the accuracy of feldspar single grains to date late Holocene cyclone and tsunami deposits

Testing the accuracy of feldspar single grains to date late Holocene cyclone and tsunami deposits

Reconstructing rates and patterns of colluvial soil redistribution in agrarian (hummocky) landscapes

Luminescence as a Sediment Tracer and Provenance Tool

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