Provenance analysis using Raman spectroscopy of carbonaceous material: A case study in the Southern Alps of New Zealand

Provenance analysis using Raman spectroscopy of carbonaceous material: A case study in the Southern Alps of New Zealand
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使用碳质材料拉曼光谱进行来源分析:新西兰南阿尔卑斯山的案例研究

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发表时间:
2015
期刊:
影响因子:
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通讯作者:
J. Lavé
J. Lavé
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作者:
L. Nibourel;F. Herman;S. Cox;O. Beyssac;J. Lavé

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在造山环境中进行碎屑来源分析,即在集水区的出口处收集沉积物,已经成为估计侵蚀在空间和时间上变化的重要工具。在这里,我们介绍了如何使用碳质材料的拉曼光谱(RSCM)来分析来源。RSCM提供了变质过程中经历的峰值温度(RSCM-T)的估计。我们表明,通过将碎屑砂上的新测量结果与之前获得的基岩数据相结合,我们可以推断出流域内的现代侵蚀模式。我们专注于新西兰南部阿尔卑斯山的Whataroa集水区,并利用与主要排水方向平行的变质坡度。为了考虑潜在的采样偏差,我们还通过水槽实验量化了磨损特性,并测量了产生收集到的沙子的基岩中的总有机碳含量。最后,我们将这些参数积分到一个质量守恒模型中。我们的结果首次证明RSCM-T可以用于碎屑研究。其次,我们发现示踪剂浓度和侵蚀的空间变化对RSCM-T分布具有一级控制,尽管我们的水槽实验表明,弱岩性比更耐久的岩性产生的细颗粒要多得多。这一结果表明,当目标矿物的基岩浓度被量化时,砂样是绘制侵蚀空间变化的良好代理。模拟表明,现今最高的侵蚀速率(在瓦塔罗阿集水区)不在山脉前缘,而是进入山脉地带约10公里。
Detrital provenance analyses in orogenic settings, in which sediments are collected at the outlet of a catchment, have become an important tool to estimate how erosion varies in space and time. Here we present how Raman Spectroscopy on Carbonaceous Material (RSCM) can be used for provenance analysis. RSCM provides an estimate of the peak temperature (RSCM‐T) experienced during metamorphism. We show that we can infer modern erosion patterns in a catchment by combining new measurements on detrital sands with previously acquired bedrock data. We focus on the Whataroa catchment in the Southern Alps of New Zealand and exploit the metamorphic gradient that runs parallel to the main drainage direction. To account for potential sampling biases, we also quantify abrasion properties using flume experiments and measure the total organic carbon content in the bedrock that produced the collected sands. Finally, we integrate these parameters into a mass‐conservative model. Our results first demonstrate that RSCM‐T can be used for detrital studies. Second, we find that spatial variations in tracer concentration and erosion have a first‐order control on the RSCM‐T distributions, even though our flume experiments reveal that weak lithologies produce substantially more fine particles than do more durable lithologies. This result implies that sand specimens are good proxies for mapping spatial variations in erosion when the bedrock concentration of the target mineral is quantified. The modeling suggests that highest present‐day erosion rates (in Whataroa catchment) are not situated at the range front but around 10 km into the mountain belt.
DOI: 10.1016/j.epsl.2014.06.021
发表时间: 2014-10-01
影响因子: 5.3
作者:
Hilton, Robert G.;Gaillardet, Jerome;Birck, Jean-Louis
通讯作者: Birck, Jean-Louis
DOI: 10.1126/science.1244908
发表时间: 2014-02-07
期刊: SCIENCE
影响因子: 56.9
作者:
Larsen, Isaac J.;Almond, Peter C.;Malcolm, Brendon
通讯作者: Malcolm, Brendon