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Quantifying process-based controls on compensational stacking of channelized sedimentary deposits.

机译:基于过程的定量化控制,用于通道化沉积物补偿性堆积。

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摘要

Inherent characteristics (autogenic behavior) of sedimentary systems are often thought to generate small-scale noise in the stratigraphic records and usually ignored in the stratigraphic interpretation. However, autogenic dynamics can also occur over large temporal and spatial scales and produce sedimentary records that mimic stratigraphic signals presumed to result from changes in external boundary conditions (allogenic forcings) such as tectonics, climate, eustatic change or a combination. As the autogenic fluctuations could impose first-order controls on stratigraphic architecture, it is necessary to search for quantitative methods in order to constrain river intrinsic behaviors and decode them from the complex stratigraphic responses by the scales over which autogenic stratigraphic patterns are most prevalent. The statistical metric we developed based on numerical modeling and physical experiments offers a good prediction on the autogenic time scales and results in a compensation index which can be used as an indicator for fluviodeltaic stratigraphic patterns. The magnitude of autogenic forcings presented in the fluvial successions is associated with the strength of channel-belt clustering and can be quantitatively classified by the compensation index. We utilize this index in conjunction with a serial of 2-D object-based stratigraphic stacking models, high-resolution experimental and field data to (1) quantify how the magnitude of autogenic processes varies with scales (2) understand how autogenic behaviors interact with river discharge and how this allogenic condition affects the stacking patterns of channel bodies (3) explore the mechanism by which surface topography and river kinetics influence the degree of stratigraphic organization in a net-aggradation system.
机译:人们通常认为,沉积系统的固有特征(自生行为)会在地层记录中产生小规模的噪声,并且在地层解释中通常会被忽略。但是,自生动力学也可能在较大的时空范围内发生,并产生沉积记录,这些沉积记录模仿地层信号,推测是由于外部边界条件(同种作用力)的变化(例如构造,气候,欣喜变化或两者结合)而引起的。由于自生波动可能会对地层结构施加一阶控制,因此有必要寻找定量方法,以限制河流的内在行为,并根据自生地层模式最普遍的尺度,从复杂的地层响应中对它们进行解码。我们基于数值模型和物理实验开发的统计量度为自生时间尺度提供了良好的预测,并产生了补偿指数,该指数可用作河流三角洲地层模式的指标。在河流演替中出现的自生强迫的大小与河道带聚类的强度有关,可以通过补偿指数进行定量分类。我们将该指数与一系列基于二维对象的地层叠加模型,高分辨率实验和现场数据结合使用,以(1)量化自生过程的规模如何随尺度变化(2)了解自生行为如何与河流流量以及这种异源条件如何影响河道体的堆积模式(3)探讨了地表地形和河流动力学影响网状聚集系统中地层组织程度的机理。

著录项

  • 作者

    Wang, Yinan.;

  • 作者单位

    Tulane University School of Science and Engineering.;

  • 授予单位 Tulane University School of Science and Engineering.;
  • 学科 Geology.;Sedimentary Geology.
  • 学位 M.S.
  • 年度 2011
  • 页码 94 p.
  • 总页数 94
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 物理化学(理论化学)、化学物理学;
  • 关键词

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