当前位置: X-MOL 学术Quat. Int. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Initial quartz OSL and dust mass accumulation rate investigation of the Kisiljevo loess sequence in north-eastern Serbia
Quaternary International ( IF 1.9 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.quaint.2020.10.040
Zoran M. Perić , Slobodan B. Marković , Anca Avram , Alida Timar-Gabor , Christian Zeeden , Janina J. Nett , Peter Fischer , Kathryn E. Fitzsimmons , Milivoj B. Gavrilov

Abstract The thick and apparently continuous loess-palaeosol sequences in the Vojvodina region of northern Serbia are recognized and well understood as some of the oldest and most complete terrestrial European palaeoclimatic archives. By contrast, there are few published records for loess profiles from other regions in Serbia. Here we address this knowledge gap by investigating an 8 m thick loess sequence exposed near the village of Kisiljevo in north-eastern Serbia, describing the pedostratigraphy and environmental magnetic signatures in detail and placing these within a chronologic framework using quartz optically stimulated luminescence (OSL) on the 4–11 and 63–90 μm size fractions. Our results show dust accumulation over the last c. 32 ka, with substantial primary loess accumulation during the Early Holocene prior to the formation of the modern soil. We applied two age-depth modelling approaches to estimate dust mass accumulation rates: the Bacon.r software and ADmin model. Both yield high accumulation rates, especially during MIS 2, averaging 550–600 g m−2 a−1 which exceed estimates for other investigated loess sequences in the region.

中文翻译:

塞尔维亚东北部基西列沃黄土层序石英初始OSL和尘埃质量聚集率调查

摘要 塞尔维亚北部伏伊伏丁那地区厚而明显连续的黄土-古土壤层序被认为是最古老和最完整的欧洲陆地古气候档案。相比之下,塞尔维亚其他地区的黄土剖面记录很少。在这里,我们通过调查暴露在塞尔维亚东北部 Kisiljevo 村附近的 8 m 厚的黄土序列来解决这一知识差距,详细描述了地层学和环境磁特征,并使用石英光学受激发光 (OSL) 将这些置于年代学框架内在 4-11 和 63-90 μm 尺寸级分上。我们的结果显示了过去 c 的灰尘积累。32 卡,在现代土壤形成之前的全新世早期,大量原生黄土堆积。我们应用了两种年龄深度建模方法来估计灰尘质量积累率:Bacon.r 软件和 ADmin 模型。两者都产生高积累率,尤其是在 MIS 2 期间,平均 550-600 g m-2 a-1,超过了该地区其他调查的黄土序列的估计值。
更新日期:2020-10-01
down
wechat
bug