Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve
The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within t...
Ausführliche Beschreibung
Autor*in: |
Schlolaut, Gordon - 1980- [verfasserIn] Brauer, Achim [betreuer] |
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Hochschulschrift: |
Potsdam, Univ., Diss., 2013 |
Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
2014 |
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Formangabe: |
Hochschulschrift |
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Umfang: |
Online-Ressource (PDF-Datei: V, 146 S., 67107 KB) |
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Weitere Ausgabe: |
Erscheint auch als Druck-Ausgabe Schlolaut, Gordon, 1980 -: Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve - Potsdam, 2013 |
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Links: |
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DOI / URN: |
urn:nbn:de:kobv:517-opus-69096 |
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Katalog-ID: |
777823780 |
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520 | |a The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. | ||
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Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve |
abstract |
The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. |
abstractGer |
The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. |
abstract_unstemmed |
The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. |
url |
http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 |
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Brauer, Achim |
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2014 |
bklnumber |
38.17 38.19 |
allfields |
14,O02 dnb 1046222791 DE-101 urn:nbn:de:kobv:517-opus-69096 urn (DE-627)777823780 (DE-599)DNB1046222791 (OCoLC)869998571 DE-627 ger DE-627 rakwb eng XA-DE-BB 610 DNB 550 38.17 bkl 38.19 bkl Schlolaut, Gordon 1980- verfasserin (DE-588)1073721922 (DE-627)829367926 (DE-576)435290894 aut Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Gordon Schlolaut. Betreuer: Achim Brauer Nebent. Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve 2014 Online-Ressource (PDF-Datei: V, 146 S., 67107 KB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss., 2013 The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Brauer, Achim betreuer oth Potsdam uvp Erscheint auch als Druck-Ausgabe Schlolaut, Gordon, 1980 - Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Potsdam, 2013 V, 146 Seiten (DE-627)829361529 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 2014-02-05 Resolving-System kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 38.17 Geochronologie SEPA (DE-627)106408240 38.19 Historische Geologie: Sonstiges SEPA (DE-627)106408232 BO 20 01 0084 1461997534 x 08-03-14 21 01 0046 1462063233 z 08-03-14 22 01 0018 1462127703 SUBolrd xu 08-03-14 23 01 0830 1787711994 olr-d x 26-07-18 30 01 0104 1787788741 z 26-07-18 40 01 0007 1462228755 xsn 08-03-14 60 01 0705 146229412X OLRD z 08-03-14 63 01 3401 1787886409 ORD x 26-07-18 65 01 0003 4167280426 GBV-ODiss Open Access z 15-07-22 70 01 0089 4539914588 z 18-06-24 105 01 0841 1596333758 z 21-01-16 132 01 0959 1498536158 OLR-DISS x 14-08-14 151 01 0546 4159351395 OLR-ODISS z 30-06-22 213 01 0551 1462421709 ORD x 08-03-14 230 01 0552 146246548X ORD x 08-03-14 285 01 0517 1552431045 00 9300 --%%-- s --%%-- ACQ Das E-Book steht unter einer CC-Lizenz. Weitere Informationen finden Sie unter https://creativecommons.org/licenses/ z 10-07-15 370 01 4370 1788114027 x 26-07-18 20 01 0084 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 21 01 0046 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 22 01 0018 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 23 01 0830 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 30 01 0104 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 40 01 0007 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 60 01 0705 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 70 01 0089 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 105 01 0841 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 132 01 0959 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 213 01 0551 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 230 01 0552 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 285 01 0517 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 LF 370 01 4370 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 60 01 0705 10 ho 285 00 DE-517 00 TF 04999 285 00 DE-517 00 TG 8300 285 00 DE-517 00 TK 1020 285 00 DE-517 00 TP 6920 20 01 0084 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 213 01 0551 ORD 230 01 0552 ORD 285 01 0517 ACQ 23 01 0830 2018-07-26:10:53:10 |
spelling |
14,O02 dnb 1046222791 DE-101 urn:nbn:de:kobv:517-opus-69096 urn (DE-627)777823780 (DE-599)DNB1046222791 (OCoLC)869998571 DE-627 ger DE-627 rakwb eng XA-DE-BB 610 DNB 550 38.17 bkl 38.19 bkl Schlolaut, Gordon 1980- verfasserin (DE-588)1073721922 (DE-627)829367926 (DE-576)435290894 aut Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Gordon Schlolaut. Betreuer: Achim Brauer Nebent. Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve 2014 Online-Ressource (PDF-Datei: V, 146 S., 67107 KB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss., 2013 The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Brauer, Achim betreuer oth Potsdam uvp Erscheint auch als Druck-Ausgabe Schlolaut, Gordon, 1980 - Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Potsdam, 2013 V, 146 Seiten (DE-627)829361529 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 2014-02-05 Resolving-System kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 38.17 Geochronologie SEPA (DE-627)106408240 38.19 Historische Geologie: Sonstiges SEPA (DE-627)106408232 BO 20 01 0084 1461997534 x 08-03-14 21 01 0046 1462063233 z 08-03-14 22 01 0018 1462127703 SUBolrd xu 08-03-14 23 01 0830 1787711994 olr-d x 26-07-18 30 01 0104 1787788741 z 26-07-18 40 01 0007 1462228755 xsn 08-03-14 60 01 0705 146229412X OLRD z 08-03-14 63 01 3401 1787886409 ORD x 26-07-18 65 01 0003 4167280426 GBV-ODiss Open Access z 15-07-22 70 01 0089 4539914588 z 18-06-24 105 01 0841 1596333758 z 21-01-16 132 01 0959 1498536158 OLR-DISS x 14-08-14 151 01 0546 4159351395 OLR-ODISS z 30-06-22 213 01 0551 1462421709 ORD x 08-03-14 230 01 0552 146246548X ORD x 08-03-14 285 01 0517 1552431045 00 9300 --%%-- s --%%-- ACQ Das E-Book steht unter einer CC-Lizenz. Weitere Informationen finden Sie unter https://creativecommons.org/licenses/ z 10-07-15 370 01 4370 1788114027 x 26-07-18 20 01 0084 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 21 01 0046 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 22 01 0018 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 23 01 0830 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 30 01 0104 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 40 01 0007 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 60 01 0705 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 70 01 0089 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 105 01 0841 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 132 01 0959 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 213 01 0551 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 230 01 0552 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 285 01 0517 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 LF 370 01 4370 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 60 01 0705 10 ho 285 00 DE-517 00 TF 04999 285 00 DE-517 00 TG 8300 285 00 DE-517 00 TK 1020 285 00 DE-517 00 TP 6920 20 01 0084 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 213 01 0551 ORD 230 01 0552 ORD 285 01 0517 ACQ 23 01 0830 2018-07-26:10:53:10 |
allfields_unstemmed |
14,O02 dnb 1046222791 DE-101 urn:nbn:de:kobv:517-opus-69096 urn (DE-627)777823780 (DE-599)DNB1046222791 (OCoLC)869998571 DE-627 ger DE-627 rakwb eng XA-DE-BB 610 DNB 550 38.17 bkl 38.19 bkl Schlolaut, Gordon 1980- verfasserin (DE-588)1073721922 (DE-627)829367926 (DE-576)435290894 aut Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Gordon Schlolaut. Betreuer: Achim Brauer Nebent. Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve 2014 Online-Ressource (PDF-Datei: V, 146 S., 67107 KB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss., 2013 The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Brauer, Achim betreuer oth Potsdam uvp Erscheint auch als Druck-Ausgabe Schlolaut, Gordon, 1980 - Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Potsdam, 2013 V, 146 Seiten (DE-627)829361529 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 2014-02-05 Resolving-System kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 38.17 Geochronologie SEPA (DE-627)106408240 38.19 Historische Geologie: Sonstiges SEPA (DE-627)106408232 BO 20 01 0084 1461997534 x 08-03-14 21 01 0046 1462063233 z 08-03-14 22 01 0018 1462127703 SUBolrd xu 08-03-14 23 01 0830 1787711994 olr-d x 26-07-18 30 01 0104 1787788741 z 26-07-18 40 01 0007 1462228755 xsn 08-03-14 60 01 0705 146229412X OLRD z 08-03-14 63 01 3401 1787886409 ORD x 26-07-18 65 01 0003 4167280426 GBV-ODiss Open Access z 15-07-22 70 01 0089 4539914588 z 18-06-24 105 01 0841 1596333758 z 21-01-16 132 01 0959 1498536158 OLR-DISS x 14-08-14 151 01 0546 4159351395 OLR-ODISS z 30-06-22 213 01 0551 1462421709 ORD x 08-03-14 230 01 0552 146246548X ORD x 08-03-14 285 01 0517 1552431045 00 9300 --%%-- s --%%-- ACQ Das E-Book steht unter einer CC-Lizenz. Weitere Informationen finden Sie unter https://creativecommons.org/licenses/ z 10-07-15 370 01 4370 1788114027 x 26-07-18 20 01 0084 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 21 01 0046 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 22 01 0018 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 23 01 0830 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 30 01 0104 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 40 01 0007 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 60 01 0705 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 70 01 0089 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 105 01 0841 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 132 01 0959 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 213 01 0551 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 230 01 0552 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 285 01 0517 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 LF 370 01 4370 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 60 01 0705 10 ho 285 00 DE-517 00 TF 04999 285 00 DE-517 00 TG 8300 285 00 DE-517 00 TK 1020 285 00 DE-517 00 TP 6920 20 01 0084 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 213 01 0551 ORD 230 01 0552 ORD 285 01 0517 ACQ 23 01 0830 2018-07-26:10:53:10 |
allfieldsGer |
14,O02 dnb 1046222791 DE-101 urn:nbn:de:kobv:517-opus-69096 urn (DE-627)777823780 (DE-599)DNB1046222791 (OCoLC)869998571 DE-627 ger DE-627 rakwb eng XA-DE-BB 610 DNB 550 38.17 bkl 38.19 bkl Schlolaut, Gordon 1980- verfasserin (DE-588)1073721922 (DE-627)829367926 (DE-576)435290894 aut Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Gordon Schlolaut. Betreuer: Achim Brauer Nebent. Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve 2014 Online-Ressource (PDF-Datei: V, 146 S., 67107 KB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss., 2013 The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Brauer, Achim betreuer oth Potsdam uvp Erscheint auch als Druck-Ausgabe Schlolaut, Gordon, 1980 - Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Potsdam, 2013 V, 146 Seiten (DE-627)829361529 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 2014-02-05 Resolving-System kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 38.17 Geochronologie SEPA (DE-627)106408240 38.19 Historische Geologie: Sonstiges SEPA (DE-627)106408232 BO 20 01 0084 1461997534 x 08-03-14 21 01 0046 1462063233 z 08-03-14 22 01 0018 1462127703 SUBolrd xu 08-03-14 23 01 0830 1787711994 olr-d x 26-07-18 30 01 0104 1787788741 z 26-07-18 40 01 0007 1462228755 xsn 08-03-14 60 01 0705 146229412X OLRD z 08-03-14 63 01 3401 1787886409 ORD x 26-07-18 65 01 0003 4167280426 GBV-ODiss Open Access z 15-07-22 70 01 0089 4539914588 z 18-06-24 105 01 0841 1596333758 z 21-01-16 132 01 0959 1498536158 OLR-DISS x 14-08-14 151 01 0546 4159351395 OLR-ODISS z 30-06-22 213 01 0551 1462421709 ORD x 08-03-14 230 01 0552 146246548X ORD x 08-03-14 285 01 0517 1552431045 00 9300 --%%-- s --%%-- ACQ Das E-Book steht unter einer CC-Lizenz. Weitere Informationen finden Sie unter https://creativecommons.org/licenses/ z 10-07-15 370 01 4370 1788114027 x 26-07-18 20 01 0084 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 21 01 0046 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 22 01 0018 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 23 01 0830 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 30 01 0104 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 40 01 0007 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 60 01 0705 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 70 01 0089 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 105 01 0841 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 132 01 0959 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 213 01 0551 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 230 01 0552 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 285 01 0517 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 LF 370 01 4370 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 60 01 0705 10 ho 285 00 DE-517 00 TF 04999 285 00 DE-517 00 TG 8300 285 00 DE-517 00 TK 1020 285 00 DE-517 00 TP 6920 20 01 0084 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 213 01 0551 ORD 230 01 0552 ORD 285 01 0517 ACQ 23 01 0830 2018-07-26:10:53:10 |
allfieldsSound |
14,O02 dnb 1046222791 DE-101 urn:nbn:de:kobv:517-opus-69096 urn (DE-627)777823780 (DE-599)DNB1046222791 (OCoLC)869998571 DE-627 ger DE-627 rakwb eng XA-DE-BB 610 DNB 550 38.17 bkl 38.19 bkl Schlolaut, Gordon 1980- verfasserin (DE-588)1073721922 (DE-627)829367926 (DE-576)435290894 aut Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Gordon Schlolaut. Betreuer: Achim Brauer Nebent. Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve 2014 Online-Ressource (PDF-Datei: V, 146 S., 67107 KB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss., 2013 The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. References: Kitagawa & van der Plicht, 2000, Radiocarbon, Vol 42(3), 370-381 Reimer et al., 2009, Radiocarbon, Vol 51(4), 1111-1150. Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Brauer, Achim betreuer oth Potsdam uvp Erscheint auch als Druck-Ausgabe Schlolaut, Gordon, 1980 - Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve Potsdam, 2013 V, 146 Seiten (DE-627)829361529 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-69096 2014-02-05 Resolving-System kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 38.17 Geochronologie SEPA (DE-627)106408240 38.19 Historische Geologie: Sonstiges SEPA (DE-627)106408232 BO 20 01 0084 1461997534 x 08-03-14 21 01 0046 1462063233 z 08-03-14 22 01 0018 1462127703 SUBolrd xu 08-03-14 23 01 0830 1787711994 olr-d x 26-07-18 30 01 0104 1787788741 z 26-07-18 40 01 0007 1462228755 xsn 08-03-14 60 01 0705 146229412X OLRD z 08-03-14 63 01 3401 1787886409 ORD x 26-07-18 65 01 0003 4167280426 GBV-ODiss Open Access z 15-07-22 70 01 0089 4539914588 z 18-06-24 105 01 0841 1596333758 z 21-01-16 132 01 0959 1498536158 OLR-DISS x 14-08-14 151 01 0546 4159351395 OLR-ODISS z 30-06-22 213 01 0551 1462421709 ORD x 08-03-14 230 01 0552 146246548X ORD x 08-03-14 285 01 0517 1552431045 00 9300 --%%-- s --%%-- ACQ Das E-Book steht unter einer CC-Lizenz. 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Schlolaut, Gordon @@aut@@ Brauer, Achim @@oth@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000cam a2200265 4500</leader><controlfield tag="001">777823780</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230427064518.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">140205s2014 gw |||||om 00| ||eng c</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">14,O02</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1046222791</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:kobv:517-opus-69096</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)777823780</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1046222791</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)869998571</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="c">XA-DE-BB</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.17</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.19</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Schlolaut, Gordon</subfield><subfield code="d">1980-</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1073721922</subfield><subfield code="0">(DE-627)829367926</subfield><subfield code="0">(DE-576)435290894</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Varve and event layer chronology of Lake Suigetsu (Japan) back to 40 kyr BP and contribution to the international consensus atmospheric radiocarbon calibration curve</subfield><subfield code="c">Gordon Schlolaut. Betreuer: Achim Brauer</subfield></datafield><datafield tag="246" ind1="1" ind2=" "><subfield code="i">Nebent.</subfield><subfield code="a">Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve</subfield></datafield><datafield tag="246" ind1="3" ind2="3"><subfield code="a">Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource (PDF-Datei: V, 146 S., 67107 KB)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="a">Potsdam, Univ., Diss., 2013</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. 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Betreuer: Achim Brauer</subfield></datafield><datafield tag="246" ind1="1" ind2=" "><subfield code="i">Nebent.</subfield><subfield code="a">Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve</subfield></datafield><datafield tag="246" ind1="3" ind2="3"><subfield code="a">Warven- und Ereignislagen-Chronologie der letzten 40 ka BP vom Suigetsu See (Japan) und Beitrag zur internationalen atmosphärischen Radiokarbon-Kalibrationskurve</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource (PDF-Datei: V, 146 S., 67107 KB)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="a">Potsdam, Univ., Diss., 2013</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The main intention of the PhD project was to create a varve chronology for the Suigetsu Varves 2006' (SG06) composite profile from Lake Suigetsu (Japan) by thin section microscopy. The chronology was not only to provide an age-scale for the various palaeo-environmental proxies analysed within the SG06 project, but also and foremost to contribute, in combination with the SG06 14C chronology, to the international atmospheric radiocarbon calibration curve (IntCal). The SG06 14C data are based on terrestrial leaf fossils and therefore record atmospheric 14C values directly, avoiding the corrections necessary for the reservoir ages of the marine datasets, which are currently used beyond the tree-ring limit in the IntCal09 dataset (Reimer et al., 2009). The SG06 project is a follow up of the SG93 project (Kitagawa & van der Plicht, 2000), which aimed to produce an atmospheric calibration dataset, too, but suffered from incomplete core recovery and varve count uncertainties. For the SG06 project the complete Lake Suigetsu sediment sequence was recovered continuously, leaving the task to produce an improved varve count. Varve counting was carried out using a dual method approach utilizing thin section microscopy and micro X-Ray Fluorescence (µXRF). The latter was carried out by Dr. Michael Marshall in cooperation with the PhD candidate. The varve count covers 19 m of composite core, which corresponds to the time frame from ≈10 to ≈40 kyr BP. The count result showed that seasonal layers did not form in every year. Hence, the varve counts from either method were incomplete. This rather common problem in varve counting is usually solved by manual varve interpolation. But manual interpolation often suffers from subjectivity. Furthermore, sedimentation rate estimates (which are the basis for interpolation) are generally derived from neighbouring, well varved intervals. This assumes that the sedimentation rates in neighbouring intervals are identical to those in the incompletely varved section, which is not necessarily true. To overcome these problems a novel interpolation method was devised. It is computer based and automated (i.e. avoids subjectivity and ensures reproducibility) and derives the sedimentation rate estimate directly from the incompletely varved interval by statistically analysing distances between successive seasonal layers. Therefore, the interpolation approach is also suitable for sediments which do not contain well varved intervals. Another benefit of the novel method is that it provides objective interpolation error estimates. Interpolation results from the two counting methods were combined and the resulting chronology compared to the 14C chronology from Lake Suigetsu, calibrated with the tree-ring derived section of IntCal09 (which is considered accurate). The varve and 14C chronology showed a high degree of similarity, demonstrating that the novel interpolation method produces reliable results. In order to constrain the uncertainties of the varve chronology, especially the cumulative error estimates, U-Th dated speleothem data were used by linking the low frequency 14C signal of Lake Suigetsu and the speleothems, increasing the accuracy and precision of the Suigetsu calibration dataset. The resulting chronology also represents the age-scale for the various palaeo-environmental proxies analysed in the SG06 project. One proxy analysed within the PhD project was the distribution of event layers, which are often representatives of past floods or earthquakes. A detailed microfacies analysis revealed three different types of event layers, two of which are described here for the first time for the Suigetsu sediment. The types are: matrix supported layers produced as result of subaqueous slope failures, turbidites produced as result of landslides and turbidites produced as result of flood events. The former two are likely to have been triggered by earthquakes. The vast majority of event layers was related to floods (362 out of 369), which allowed the construction of a respective chronology for the last 40 kyr. Flood frequencies were highly variable, reaching their greatest values during the global sea level low-stand of the Glacial, their lowest values during Heinrich Event 1. Typhoons affecting the region represent the most likely control on the flood frequency, especially during the Glacial. However, also local, non-climatic controls are suggested by the data. In summary, the work presented here expands and revises knowledge on the Lake Suigetsu sediment and enabls the construction of a far more precise varve chronology. The 14C calibration dataset is the first such derived from lacustrine sediments to be included into the (next) IntCal dataset. 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