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Reconstructing dust deposits originating from potential source ares of Northern Africa - Connecting Late Pleistocene dune archives from the Canary Basin to the Tyrrhenian Basin

Reconstructing dust deposits originating from potential source ares of Northern Africa - Connecting Late Pleistocene dune archives from the Canary Basin to the Tyrrhenian Basin
重建源自北非潜在源区的尘埃沉积物 - 连接从加那利盆地到第勒尼安盆地的晚更新世沙丘档案
批准号:
538823399
负责人:
Dr. Christopher-Bastian Roettig
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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中文摘要
翻译
通过本文提出的应用,我们的目标是将加那利与第勒尼安盆地的风成岩序列进行对比。风成岩以碳酸盐砂为主。碳酸盐砂的供应与全球海平面有关。因此,不同分区(东加那利群岛、西班牙南部、巴利阿里群岛、撒丁岛)的风成物具有时间相关性。几代碳酸盐砂与富含粉尘的古表面交替存在。主要目的是找出粉尘物质的主要来源区域。就可解释性而言,首先我们必须区分由土壤形成过程产生的沉积物特征和从灰尘输入继承的沉积物特征。土壤形成过程的解释是推断古生态条件的基础,从而推断尘埃的沉积条件。最后,我们的目标是推导出整个研究区域的动态。在最后一步中,数据还应用于对未来情景进行建模。研究工作包括以下问题和方法:1)不同分区沙丘档案中富尘古表面的特征是什么,哪些古环境条件是可以推断的?在野外观测的基础上,采用显微形貌、粒度分布和碳酸盐含量分析等方法。II)风成岩序列中是否有相似之处或系统差异-特别是关于灰尘输入的数量和组成以及可以从步骤I)得出的沉积条件?在这里,主要是元素和石英含量让我们区分外来和本地材料(分析将具体进行粒度)。III)粉尘沉积的潜在来源区域是什么?我们能确定主要尘埃路径的特定时期吗?因此,元素组成及其相互之间的关系为解释奠定了坚实的基础。此外,结合黏土矿物光谱和重同位素Nd、Sr和P (87Sr/86Sr, 206Pb/207Pb和143Nd/144Nd)最有希望推断出特定的潜在源区。IV)是否有可能将从金丝雀到第勒尼安盆地的不同子区域在其动力学和主要粉尘路径周期方面联系起来?在整个研究区域的背景下是否存在模式?我们希望通过对富尘古表面的IRSL定年来确定步骤I) - III)的地层发现。为了把结果放在一个总体的背景下,我们的目标是找出粉尘沉积和特定地点动力学的同步性和非同步性。在最后一步中,我们希望为整个研究区域开发一个场景,并使用该数据对未来的场景进行建模。
英文摘要
By the application presented here we aim to correlate aeolianite sequences from the Canary to the Tyrrhenian Basin. The aeolianites are dominated by carbonate sands. The supply of carbonate sand is linked to global sea level. Hence a temporal correlation can be ascribed for the aeolianites of the different sub-areas (Eastern Canary Islands, Southern Spain, Balearic Islands, Sardinia). Several generations of carbonate sands alternate with dust enriched palaeosurfaces. A main aim is to derive dominant source areas of the dust material. In terms of the interpretability at first we have to differentiate between sediment characteristics that result from soil forming processes and those that are inherited from dust input. The interpretation of soil forming processes means the basis for deducing palaeoecological conditions and thus the deposition conditions of dust. Finally, we aim to derive the dynamics of the entire study area. In a final step the data should be used for also modeling future scenarios. The work includes the following questions and methodological approaches that build on one another: I) What are the characteristics of the dust enriched palaeosurfaces within dune archives of the different sub-areas and which palaeoenvironmental conditions are deducible? On the basis of field observations the method of micromorphology, grain size distributions and the analysis of carbonate contents will be used. II) Are there similarities or systemic differences within the aeolianite sequences - especially with regard to amounts and composition of dust input and depositional conditions that can be derived from step I)? Here, primarily the elemental and quartz contents let us distinguish between allochthonous and autochthonous materials (the analyses will be done grain-size-specifically). III) What are the potential source areas of the dust deposits? Are we able to identify specific periods of dominant dust pathways? Therefor the elemental composition and their relations amongst each other build the solid basis for the interpretation. Additionally, the combination of clay mineral spectra and the heavy isotopes Nd, Sr and P (87Sr/86Sr, 206Pb/207Pb and 143Nd/144Nd) are most promising to deduce specific potential source areas. IV) Is it possible to correlate the different sub-areas from the Canary to the Tyrrhenian Basin in terms of their dynamics and periods of dominant dust pathways? Are there patterns against the backdrop of the entire study area? We want to make certain the stratigraphic findings from steps I) - III) by IRSL dating of the dust-enriched palaeosurfaces. To put the results into an overarching context we aim to work out the synchronicities and asynchronicities of dust deposits and site-specific dynamics. In a final step, we want to develop a scenario for the entire study area and use that data for also modelling future scenarios.
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