现代河砂中的岩石组成和重矿物:一个全球数据库

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Wendong Liang, Xiumian Hu, Eduardo Garzanti, Huaguo Wen, Mingcai Hou
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引用次数: 0

摘要

在现代河流沉积物的情况下,烃源岩、构造环境、气候和地貌条件是完全已知的,成岩作用是不存在的,侵蚀、运输和沉积过程中的物理和化学过程可以直接进行任何必要的详细研究。因此,他们的研究提供了必要的基本信息,以了解不同地质环境中各种控制措施对沉积物生成和沉积物路径系统的影响。随着出于经济目的对源-汇沉积系统的兴趣越来越大,研究人员越来越多地关注现代环境,产生了越来越多的河流沉积物成分数据。为了更好地整合和利用这些大型数据集,我们系统地汇编了一个由4208个河流沉积物样本组成的全球数据库,该数据库由100篇已发表的论文、书籍章节和论文汇编而成,包括3747份岩相分析和1943份重矿物分析。分析的样本大多位于亚洲、非洲、欧洲和南美洲,北美和大洋洲的样本较少。每个样本都有描述参考文献、河流名称、地理位置、采样日期、分析方法和粒度的元数据作为补充,因此可以对样本进行分组和过滤,以满足不同的需求,包括与其他数据集的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Petrographic composition and heavy minerals in modern river sand: A global database

Petrographic composition and heavy minerals in modern river sand: A global database

Petrographic composition and heavy minerals in modern river sand: A global database

In the case of modern river sediments, source rocks, tectonic setting, and climatic and geomorphological conditions are fully known, diagenetic effects are by definition none, and physical and chemical processes during erosion, transport, and deposition can be investigated directly in any required detail. Their study thus provides the fundamental information needed to understand the impact of various controls on sediment generation and sediment routing systems in diverse geological settings. With the growing interest in source-to-sink sedimentary systems for economic purposes, researchers have focused more and more on modern environments, producing an ever-increasing amount of compositional data on river sediments. To better integrate and utilize these large datasets, we systematically compiled a global database of 4,208 fluvial sediment samples compiled from 100 published papers, book chapters, and dissertations and included 3,747 petrographic and 1,943 heavy-mineral analyses. The analysed samples are mostly located in Asia, Africa, Europe, and South America, with fewer examples from North America and Oceania. Each sample is complemented by metadata describing references, river name, geographic location, sampling date, analytical method, and grain size, so that samples can be grouped and filtered to meet different needs including comparison with other datasets.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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