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Establishing a common standardised growth curve for single-aliquot OSL dating of quartz from sediments in the Jilantai area of North China

Zhenjun Li

Zhenjun Li

Key Laboratory of Mineral Resources in Western China (Gansu Province), School of Earth Sciences, Lanzhou UniversityLanzhou, China
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Li, Zhenjun
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Xuesong Mou

Xuesong Mou

Key Laboratory of Mineral Resources in Western China (Gansu Province), School of Earth Sciences, Lanzhou UniversityLanzhou, China
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Mou, Xuesong
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Yuxin Fan

Yuxin Fan

Key Laboratory of Mineral Resources in Western China (Gansu Province), School of Earth Sciences, Lanzhou UniversityLanzhou, China
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Fan, Yuxin
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Qingsong Zhang

Qingsong Zhang

Key Laboratory of Mineral Resources in Western China (Gansu Province), School of Earth Sciences, Lanzhou UniversityLanzhou, China
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Zhang, Qingsong
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Guangliang Yang

Guangliang Yang

Key Laboratory of Mineral Resources in Western China (Gansu Province), School of Earth Sciences, Lanzhou UniversityLanzhou, China
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Yang, Guangliang
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Hui Zhao

Hui Zhao

North-west Institute of Eco-Environment and Resources, Chinese Academy of ScienceLanzhou, China
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Zhao, Hui
  
31 dic 2020
Establishing a common standardised growth curve for single-aliquot OSL dating of quartz from sediments in the Jilantai area of North China's Cover Image
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Categoría del artículo: Regular Articles
Publicado en línea: 31 dic 2020
Páginas: 71 - 92
Recibido: 26 oct 2019
Aceptado: 28 ago 2020
DOI: https://doi.org/10.2478/geochr-2020-0017
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© 2020 D. Yuxin Fan., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fig 1

Regional setting (a) and sampling sites (b) (modified from Chen et al., 2008). The inset in the left upper corner of (a) is a remote sensing image of East Asia showing the location of the study area (marked by square) and the modern monsoon limit.
Regional setting (a) and sampling sites (b) (modified from Chen et al., 2008). The inset in the left upper corner of (a) is a remote sensing image of East Asia showing the location of the study area (marked by square) and the modern monsoon limit.

Fig 2

(a) Relative standard deviation (RSD) of the sensitivity-corrected natural signal (Ln/Tn) and re-normalised regenerative-dose signals (Lx/Tx) of representative sample LS-4 (the diamond symbol), plotted versus the regenerative doses. (b) Plots of the sensitivity-corrected natural signal (Ln/Tn) and regenerative dose signal (Lx/Tx) (filled black diamonds) (left-hand axis) versus the regenerative dose, and plots of the re-normalised signals with the extra regenerative dose of 220 Gy (red circles) which are plotted using an offset of a few Gy offset to the right on the x-axis for clarity (right-hand axis).
(a) Relative standard deviation (RSD) of the sensitivity-corrected natural signal (Ln/Tn) and re-normalised regenerative-dose signals (Lx/Tx) of representative sample LS-4 (the diamond symbol), plotted versus the regenerative doses. (b) Plots of the sensitivity-corrected natural signal (Ln/Tn) and regenerative dose signal (Lx/Tx) (filled black diamonds) (left-hand axis) versus the regenerative dose, and plots of the re-normalised signals with the extra regenerative dose of 220 Gy (red circles) which are plotted using an offset of a few Gy offset to the right on the x-axis for clarity (right-hand axis).

Fig 3

Comparison of the re-normalisation results with OSL signals of the re-normalisation dose of (a) 88 Gy, (b) 147 Gy and (c) 220 Gy.
Comparison of the re-normalisation results with OSL signals of the re-normalisation dose of (a) 88 Gy, (b) 147 Gy and (c) 220 Gy.

Fig 4

Comparison of re-normalised OSL signals (b, c and d) with the sensitivity-corrected OSL signals (a) from samples from the LS profile. Illustration of the potential SGCs established using (b) SAR-SGC, (c) Re-SGC and (d) LS-SGC methods. The diamonds represent the OSL signals of different samples, and the red curve represents the fitted SGC. In (b), the potential SGCs of different profiles are shown using the same colour as in the legend in Fig. 4-4b.
Comparison of re-normalised OSL signals (b, c and d) with the sensitivity-corrected OSL signals (a) from samples from the LS profile. Illustration of the potential SGCs established using (b) SAR-SGC, (c) Re-SGC and (d) LS-SGC methods. The diamonds represent the OSL signals of different samples, and the red curve represents the fitted SGC. In (b), the potential SGCs of different profiles are shown using the same colour as in the legend in Fig. 4-4b.

Fig 5

(a) The regional SGC (red curve) and DRCs from samples of profiles (the other coloured curves) established using the Re-SGC method. (b) The regional SGC (red curve) and DRCs of profiles (the other coloured curves) established using the LS-SGC method. (c) Ratios between the re-normalised data and the Re-SGC in (a), plotted against regenerative dose. (d) Ratios between the LS-normalised data and the LS-SGC in (b), plotted against regenerative dose. (e) Radial plot of the ratios shown in (c). (f) Radial plot of the ratios shown in (d). In the plots (e) and (f), the relatively high precision of 5–6 points, which scatter from the rest of the data points, was caused by OSL signal saturation.
(a) The regional SGC (red curve) and DRCs from samples of profiles (the other coloured curves) established using the Re-SGC method. (b) The regional SGC (red curve) and DRCs of profiles (the other coloured curves) established using the LS-SGC method. (c) Ratios between the re-normalised data and the Re-SGC in (a), plotted against regenerative dose. (d) Ratios between the LS-normalised data and the LS-SGC in (b), plotted against regenerative dose. (e) Radial plot of the ratios shown in (c). (f) Radial plot of the ratios shown in (d). In the plots (e) and (f), the relatively high precision of 5–6 points, which scatter from the rest of the data points, was caused by OSL signal saturation.

Fig 6

Comparison of De values obtained using the SAR protocol with those obtained using the Re-SGC (a) and LS-SGC (b) methods. The dashed black line is the 1:1 line, the solid blue lines define the 10% error range, and the solid pink lines define the 20% error range. (c) Radial plot showing ratios of the Re-SGC De values to the SAR De. (d) Radial plot showing the ratios of the LS-SGC De values to the SAR De. In the plot (d), 10 points with very low ratio were caused by OSL signal saturation.
Comparison of De values obtained using the SAR protocol with those obtained using the Re-SGC (a) and LS-SGC (b) methods. The dashed black line is the 1:1 line, the solid blue lines define the 10% error range, and the solid pink lines define the 20% error range. (c) Radial plot showing ratios of the Re-SGC De values to the SAR De. (d) Radial plot showing the ratios of the LS-SGC De values to the SAR De. In the plot (d), 10 points with very low ratio were caused by OSL signal saturation.

Fig 7

Comparison of De values obtained using the SAR protocol with those obtained using the regional SGCs established using the Re-SGC (a and c) and LS-SGC (b and d) methods, for samples which were not used in the establishment of the regional SGCs. In these plots, the black dashed lines are the 1:1 ratio, and the areas enclosed by the blue solid lines are the 10% error range of unity, and the areas enclosed by the pink solid lines are the 20% error range of unity. (e) Radial plot showing the ratios of the Re-SGC De values to the SAR De. (f) Radial plot showing the ratios of the LS-SGC De values to the SAR De. Within (e) and (f), the data within 200 Gy are shown as open triangles and those <50 Gy as filled circles.
Comparison of De values obtained using the SAR protocol with those obtained using the regional SGCs established using the Re-SGC (a and c) and LS-SGC (b and d) methods, for samples which were not used in the establishment of the regional SGCs. In these plots, the black dashed lines are the 1:1 ratio, and the areas enclosed by the blue solid lines are the 10% error range of unity, and the areas enclosed by the pink solid lines are the 20% error range of unity. (e) Radial plot showing the ratios of the Re-SGC De values to the SAR De. (f) Radial plot showing the ratios of the LS-SGC De values to the SAR De. Within (e) and (f), the data within 200 Gy are shown as open triangles and those <50 Gy as filled circles.

Figure S1

Lacustrine sedimentary profiles.
Lacustrine sedimentary profiles.

Figure S2

Lake shoreline profiles of the Jilantai Salt Lake.
Lake shoreline profiles of the Jilantai Salt Lake.

Figure S3

Fluvial sediment profiles.
Fluvial sediment profiles.

Figure S4

Desert sedimentary profiles.
Desert sedimentary profiles.

Figure S5

Results of a dose recovery test for a representative sample S63-2.
Results of a dose recovery test for a representative sample S63-2.

Figure S6

Comparison of SGCs for core DK12 established using three methods.
Comparison of SGCs for core DK12 established using three methods.

Figure S7

Comparison of SGCs for profile S32 established using three methods.
Comparison of SGCs for profile S32 established using three methods.

Figure S8

Comparison of SGCs for profile S40 established using three methods.
Comparison of SGCs for profile S40 established using three methods.

Figure S9

Comparison of SGCs for profile S42 established using three methods.
Comparison of SGCs for profile S42 established using three methods.

Figure S10

Comparison of SGCs for profile S63 profile established using three methods.
Comparison of SGCs for profile S63 profile established using three methods.

Figure S11

Comparison of SGCs for profile WP130725 established using three methods.
Comparison of SGCs for profile WP130725 established using three methods.

Figure S12

Comparison of SGCs for profile WP130726-2 established using three methods.
Comparison of SGCs for profile WP130726-2 established using three methods.

Figure S13

Comparison of SGCs for profile WP130726-3 established using three methods.
Comparison of SGCs for profile WP130726-3 established using three methods.

Figure S14

Comparison of SGCs for profile WP130729 established using three methods.
Comparison of SGCs for profile WP130729 established using three methods.

A summary of studied samples, including their locations, sedimentary types and grain size and measurement conditions in measuring OSL signals of quartz in this study_

Profile/CoreSampleLocationSediment typeGrain size (μm)Preheat/cut-heat (°C)Test dose (s)Number of aliquotsData source
DK-1Lacustrine180-250200/16010010
DK-2Lacustrine180-250160/16010011
DK-3Lacustrine180-250180/16010012
DK-4N40°23′14.3″,Lacustrine180-250200/16010011
DK12DK-5E106°40′12.0″Lacustrine180-250220/16010012(Fan et al., 2017)
DK-6Lacustrine180-250180/16010012
DK-7Lacustrine180-250260/16010011
DK-1#Lacustrine180-250200/160507
DK-2#Lacustrine180-250160/1601006
LS-1Lacustrine90-125160/160308
LS-2Lacustrine90-125180/160305
LS-3Lacustrine90-125200/1603012
LS-4N40°26′22.88″,Lacustrine90-125260/1603011
LSLS-1#E106°11′36.26″Lacustrine90-125160/1603012(Zhang 2016)
LS-2#Lacustrine90-125180/1603010
LS-3#Lacustrine90-125200/1603010
LS-4#Lacustrine90-125260/1603011
S32S32-1 S32-2N39°44′01.0″, E105°33′22.0″Lacustrine Lacustrine90-125 90-125160/160 260/16030 308 10(Zhang 2016)
S40-1Lacustrine90-125200/1605016
S40S40-2N39°56′55.10″, E105°38′07.50 ″Lacustrine90-125180/1605011(Zhang 2015)
S40-3Lacustrine90-125260/1605010
S42-1Lacustrine90-125180/160509
S42S42-2N39°56′54.58″,Lacustrine90-125240/160508(Zhang 2015)
E105°37′5.51″
S42-3Lacustrine90-125180/1605012
S63-1Lacustrine90-125200/1605010
S63S63-2 S63-3N39°30′15.7″, E105°36′32.2″Lacustrine Lacustrine90-125 90-125220/160 160/16050 504 8This work
S63-2#Lacustrine90-125220/1605011
WP130725WP130725-1 WP130725-2N39°10′56.64″, E105°39′38.92″Fluvial Fluvial90-125 90-125160/160 160/16050 5014 6(Zhang 2015)
WP130726-2-1Fluvial90-125180/1605011
WP130726-2WP130726-2-2N39°27′57.68″, E105°38′17.24 ″Fluvial90-125160/1605011This work
WP130726-2-3Fluvial90-125220/1605011
WP130726-3WP130726-3-1 WP130726-3-2N39°27′3.79″, E105°39′5.79″Fluvial Fluvial90-125 90-125240/160 220/16050 509 12This work
WP130729-1N39°20′50.5″,Fluvial90-125240/1605016
WP130729WP130729-2E105°41′52.7″Fluvial90-125180/1605012(Zhang 2015)
S39S39-1N39°58′32″,Lacustrine106-180260/2208015(Fan 2008)
S39-2E105°37′07″Lacustrine150-180260/2208012
N39°34′14″,
S27S27-1E105°35′37″Lacustrine90-125260/1601006(Fan 2008)
N39°52′14″,
S22S22-1E105°39′45″Lacustrine90-125260/1605013(Fan 2008)
N39°47′53″,
S18S18-1E105°39′58″Lacustrine90-125260/2205022(Fan 2008)
S21-1Lacustrine180-300260/1605015
S21S21-2N39°47′01″, E105°39′24 ″Lacustrine90-125260/1602016(Fan 2008)
S21-3Lacustrine300-500260/1608011
N39°46′45″,
S37S37-1E105°39′34″Lacustrine125-180260/1602012(Fan 2008)
S16-1N39°44′11″,Lacustrine90-125260/160506
S16S16-2E105°34′24″Lacustrine250-300260/2205029(Fan 2008)
S11S11-1N39°44′57″,Lacustrine180-300260/1602016(Fan 2008)
S11-2E105°38′40″Lacustrine90-125260/2202028
S48S48-1N39°44′03″,Lacustrine250-300260/1602018(Fan 2008)
E105°34′24″
S41S41-1N39°58′12″, E105°38′29 ″Lacustrine500-1000260/220507(Fan 2008)
N39°39′39″,
BS6BS6-1E105°40′54″Dune90-125260/160209(Fan et al., 2010)
S7-1Dune90-125260/160209
S7-2N39°39′53″,Dune125-150260/2208013
S7S7-3E105°36′17″Dune125-150260/220506(Fan et al., 2010)
S7-4Dune250-300260/160208
N39°46′03″,
WLD07AWLD07A-1E105°45′38″Dune125-180260/220505(Fan et al., 2010)
N39°51′41″, et
WLD07BWLD07B-1E106°23′20″Dune125-180260/2205019(Fan al., 2010)
N39°51′03″, et
WLD07DWLD07D-1E105°49′54″Dune125-180260/220508(Fan al., 2010)
W7W7-1N39°54′23″,E106°30′28″Dune90-125260/160207(Fan et al., 2010)

The double SAR protocol applied in measuring OSL signals in this study_

StepOperationMeasured
1Regeneration dose di (i=0,1,2,3,4,5)d0=0, d1=d4
2Preheat @160–260°C for 10 s
3OSL @50°C for 40 sLx
4OSL @125°C for 40 s
5Test dose 20–100 s
6TL 160–220°CTx
7OSL @50°C for 40 s
8OSL @125°C for 40 s
9Illumination @280°C for 100 s
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