4.3 Article

Transport on river networks: A dynamic tree approach

期刊

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2009JF001281

关键词

-

资金

  1. NSF [EAR-0934628, EAR-0934426, EAR-0934871, EAR-0120914, EAR-0824084, EAR-0835789, ATM-0620838]
  2. National Center for Earth-surface Dynamics (NCED)
  3. Climate Change Prediction Program (CCPP) [DE-FG02-07ER64439]
  4. CCPP [DE-FG02-07ER64440]
  5. Directorate For Geosciences
  6. Division Of Earth Sciences [0835789] Funding Source: National Science Foundation
  7. Division Of Earth Sciences
  8. Directorate For Geosciences [0824084] Funding Source: National Science Foundation
  9. Division Of Mathematical Sciences
  10. Direct For Mathematical & Physical Scien [0934871, 0934818] Funding Source: National Science Foundation
  11. Division Of Mathematical Sciences
  12. Direct For Mathematical & Physical Scien [0934426, 0934628] Funding Source: National Science Foundation

向作者/读者索取更多资源

This study is motivated by problems related to environmental transport on river networks. We establish statistical properties of a flow along a directed branching network and suggest its compact parameterization. The downstream network transport is treated as a particular case of nearest neighbor hierarchical aggregation with respect to the metric induced by the branching structure of the river network. We describe the static geometric structure of a drainage network by a tree, referred to as the static tree, and introduce an associated dynamic tree that describes the transport along the static tree. It is well known that the static branching structure of river networks can be described by self-similar trees; we demonstrate that the corresponding dynamic trees are also self-similar, albeit with different self-similarity parameters. We report an unexpected phase transition in the dynamics of three river networks (one from California and two from Italy), demonstrate the universal features of this transition, and seek to interpret it in hydrological terms.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据