...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Geophysical Research Letters >Quantifying the signature of sediment composition on the topologic and dynamic complexity of river delta channel networks and inferences toward delta classification
【24h】

Quantifying the signature of sediment composition on the topologic and dynamic complexity of river delta channel networks and inferences toward delta classification

机译：量化沉积物成分对三角洲河道网络拓扑和动态复杂性的影响以及对三角洲分类的推断

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Deltas contain complex self-organizing channel networks that nourish the surface with sediment and nutrients. Developing a quantitative understanding of how controlling physical mechanisms of delta formation relate to the channel networks they imprint on the landscape remains an open problem, hindering further progress on quantitative delta classification and understanding process from form. Here we isolate the effect of sediment composition on network structure by analyzing Delft3D river-dominated deltas within the recently introduced graph-theoretic framework for quantifying complexity of delta channel networks. We demonstrate that deltas with coarser incoming sediment tend to be more complex topologically (increased number of pathways) but simpler dynamically (reduced flux exchange between subnetworks) and that once a morphodynamic steady state is reached, complexity also achieves a steady state. By positioning simulated deltas on the so-called TopoDynamic complexity space and comparing with field deltas, we propose a quantitative framework for exploring complexity toward systematic inference and classification.
机译：三角洲包含复杂的自组织通道网络，这些网络可以用沉积物和营养物质滋养表面。对控制三角洲形成的物理机制如何与它们在景观上留下的河道网络之间的关系进行定量理解仍然是一个悬而未决的问题，阻碍了定量三角洲分类和从形式上理解过程的进一步发展。在这里，我们通过在最近引入的图论框架内分析Delft3D河为主的三角洲来量化三角洲河道网络的复杂性，从而隔离了沉积物成分对网络结构的影响。我们证明，进入沉积物较粗的三角洲在拓扑上趋于更复杂（路径数量增加），但在动态上更简单（子网之间的通量交换减少），并且一旦达到形态动力学稳态，复杂度也就达到了稳态。通过将模拟增量定位在所谓的TopoDynamic复杂度空间上，并与字段增量进行比较，我们提出了一种定量框架，用于探索针对系统推断和分类的复杂度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号