Modeling granulometric, mineralogical, and geochemical composition of sediments: A quantitative tool for predicting sediment composition and reconstructing sediment provenance

对沉积物的粒度、矿物学和地球化学成分进行建模：预测沉积物成分和重建沉积物来源的定量工具

基本信息

批准号：
26375345
负责人：
Professor Dr. Hilmar von Eynatten
金额：
--
依托单位：
Abteilung Sedimentologie und Umweltgeologie
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2006
资助国家：
德国
起止时间：
2005-12-31 至 2013-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/26375345?language=en
关键词：
Modeling granulometric mineralogical geochemical composition

项目摘要

Numerical modeling has become a powerful tool in several fields of geosciences, but a comprehensive model to describe the composition of clastic sediments is still lacking. This study aims at developing a numerical-statistical model that allows for describing quantitatively the petrographic, chemical, and granulometric changes related to the overall transfer of material from the original source rock to the sediment at the final site of deposition. These relative changes of sediment composition (as compared to the initial source) are largely controlled by tectonics, physiography, climate, and transport energy. The model will be suited for both inductive and deductive approaches. Potential applications of the model are, for example, the prediction of sediment composition under well-known geologic conditions and the reconstruction of sediment provenance based on final composition. To achieve this general goal, it needs the successful execution of two subgoals: (1) the broadening of our theoretical understanding of so-called multi-way compositions (e.g., data sets reporting grain size, chemistry, and mineralogy of sediment samples) and (2) modeling of multi-way compositional change in several case studies comprising both literature data as well as new datasets obtained within the frame of this project.

数值建模已成为多个地球科学领域的强大工具，但是仍然缺乏描述碎屑沉积物组成的综合模型。这项研究旨在开发一个数值模型，该模型允许定量描述与材料从原始源岩的总体传递到最终沉积地点的沉积物的总体传递相关的岩石学，化学和颗粒度变化。沉积物组成的相对变化（与初始来源相比）在很大程度上受到构造，生理学，气候和运输能量的控制。该模型将适用于感应和演绎方法。该模型的潜在应用是在众所周知的地质条件下预测沉积物组成的预测以及基于最终组成的沉积物出处的重建。为了实现这一总体目标，它需要成功执行两个子目标：（1）我们对所谓的多通道组成的理论理解（例如，数据集报告了谷物大小，化学和沉积物样本的矿物学）和（2）在两种文献数据中的多个病例研究中的多路组成变化的建模以及新文献数据的模型以及新的数据中的新数据，并在新的数据中进行了新的计划。