编辑专集 "沉积物生成、路径和来源中的控制和偏差因素:模型、方法和案例研究

IF 3.5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Journal of Geophysical Research: Earth Surface Pub Date : 2024-07-30 DOI:10.1029/2024JF007874
Laura Stutenbecker, Chris Mark, Alberto Resentini
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引用次数: 0

摘要

碎屑沉积物成分是地球历史的重要档案,受影响风化、侵蚀、沉积物转移和沉积的同源和自源过程控制。破译这些过程可以为了解古今构造、地貌、气候和人为控制提供宝贵的信息,这些控制在广泛的时间和空间尺度上塑造了沉积物路由系统。然而,为了清楚地确定沉积物组成的控制因素,有必要排除可能掩盖或削弱原始来源信号的偏差来源。这些偏差可能是自然产生的,包括矿物肥力、沉积物循环和粒度,也可能是分析产生的。沉积物生成工作组第五次会议于 2022 年 6 月 28 日至 30 日在意大利米兰比可卡大学举行,本特别文集即是此次会议的成果。本论文集包括调查影响沉积物级联所有步骤以及样本收集、制备和分析所有阶段的偏差因素的研究,以及旨在从地质、环境或分析噪声中分离原始出处信号的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Editorial to the Special Collection “Controls and Biasing Factors in Sediment Generation, Routing, and Provenance: Models, Methods, and Case Studies”

Clastic sediment composition constitutes a key archive of Earth history, controlled by allogenic and autogenic processes that impact weathering, erosion, sediment transfer, and deposition. Deciphering those processes can provide valuable insights into ancient and modern tectonic, geomorphic, climatic, and anthropogenic controls that shape sediment routing systems over a wide range of temporal and spatial scales. However, in order to clearly identify the controls on sediment composition, it is necessary to exclude sources of bias that may mask or diminish the original provenance signal. Such biases may be natural, including mineral fertility, sediment recycling, and grain size, or analytical. This special collection arises from the fifth meeting of the working group on sediment generation held at the University Milano-Bicocca in Milan, Italy, from 28 to 30 June 2022. The collation includes studies that investigate biasing factors affecting all steps of the sediment cascade and all stages of sample collection, preparation, and analysis, as well as case studies that aim to disentangle original provenance signals from geological, environmental, or analytical noise.

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来源期刊
Journal of Geophysical Research: Earth Surface
Journal of Geophysical Research: Earth Surface Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
6.30
自引率
10.30%
发文量
162
期刊最新文献
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