Reconstructing Saharan dust transport to the Eastern Mediterranean Sea during the last 180 ka using endmember modelling of grain size data

Reconstructing Saharan dust transport to the Eastern Mediterranean Sea during the last 180 ka using endmember modelling of grain size data
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使用颗粒尺寸数据的端元模型重建过去 180ka 期间撒哈拉沙尘向东地中海的输送

DOI:
10.1017/qua.2019.71
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发表时间:
2020
影响因子:
2.3
通讯作者:
Gerhard
Gerhard
中科院分区:
地球科学3区
文献类型:
--
作者:
Beuscher;Ehrmann;Werner;Krüger;Stefan;Schmiedl;Gerhard

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对跨度长达 18 万年的九个海洋沉积物岩心的陆源淤泥部分进行的端元建模揭示了北非沙尘流入东地中海的情况。尘埃颗粒尺寸模式随着运输距离的增加而减小,从非洲海岸的 >50 µm 到大约 50 µm。爱琴海中为 30 µm。沙尘信号受到北非水文变化的强烈影响。所有岩心的粒度数据都记录了从干旱期到潮湿期的变化。随着距源头的距离越来越远以及靠近尼罗河等大型河流沉积物源头,气候信号变得越来越弱。频率和小波分析显示出强烈的轨道进动信号,已知该信号会触发北非季风雨带的迁移。气候变化对亚轨道时间尺度对尘埃流入的影响不太明显,但在一些核心中记录了 Dansgaard-Oeschger 间质事件和类海因里希事件。在最靠近源头的沉积物核心中,三个端元代表北非的一个或多个尘埃源。随着距源的距离越来越远,三种模式无法再分离,并显示为一个多模态尘埃端元。
Endmember modelling on the terrigenous silt fraction of nine marine sediment cores spanning up to 180,000 years reveals the influx of North African dust into the Eastern Mediterranean Sea. The dust grain size modes decrease with transport distance, from >50 µm off the African coast to ca. 30 µm in the Aegean Sea. The dust signal is strongly influenced by hydrological changes in northern Africa. Changes from arid to humid periods are documented in the grain size data of all cores. The climatic signal gets weaker with growing distance from the source and close to large fluvial sediment sources such as the Nile. Frequency and wavelet analyses show a strong orbital precession signal that is known to trigger the migration of the monsoonal rain belt in northern Africa. The influence of climate changes on suborbital time scales on dust influx is less distinct, but Dansgaard-Oeschger interstadials and Heinrich-like events are documented in some cores. In the sediment core closest to the source, three endmembers represent one or more dust sources in northern Africa. With growing distance from the source, the three modes cannot be separated anymore and appear as one multimodal dust endmember.
从撒哈拉尘埃通量估算的非洲潮湿时期的强度。
DOI: 10.1371/journal.pone.0170989
发表时间: 2017
期刊: PloS one
影响因子: 3.7
作者:
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DOI: --
发表时间: 1989
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DOI: 10.1371/journal.pone.0185136
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通讯作者: Hoffmann, Dirk L.
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