Collaborative Research: Understanding deltas through the lens of their channel networks

合作研究：通过渠道网络的视角了解三角洲

• 批准号: 1811909
• 负责人: Efi Foufoula-Georgiou
• 金额: $ 33.39万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-15 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1811909&HistoricalAwards=false
• 关键词: Collaborative; Research; Understanding; deltas; through

Sediment deposition at the coastline creates channels that spread out into a network and form a river delta. Deltas are home to large populations, valuable ports, and natural resources, but they are threatened by sea level rise, upstream dam development, and resource exploration. Sensitivity to these threats depends on the delta channels that move water and sediment, yet it is not clear what controls the arrangement of these channels. This research will use network analysis of numerically simulated and field deltas to test how ocean waves, tides, and floods influence the configuration of delta channels and their response to environmental change. The team will engage graduate students through summer workshops and train them in cross-disciplinary methods to address problems in science, industry, and policy-related fields. Delta channel networks exhibit complex patterns that are key for understanding delta self-maintenance and resilience to external perturbations. The proposed research aims to study deltas through the lens of their delta channel networks via a three-pronged approach based on graph-theory, numerical modeling, and the analysis of more than 60 field deltas of diverse hydroclimatic environments and levels of anthropogenic influence. The ultimate goal is to advance our understanding of delta morphodynamics and response to change by: (1) relating network properties to the underlying physical processes, (2) proposing a delta classification framework, and (3) exploring delta self-organization in terms of optimality principles and interpreting possible deviations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

海岸线的沉积物沉积形成了扩展成网络的河道，形成了河流三角洲。三角洲拥有大量人口、宝贵的港口和自然资源，但它们受到海平面上升、上游大坝开发和资源勘探的威胁。对这些威胁的敏感性取决于移动水和沉积物的三角洲河道，但尚不清楚是什么控制着这些河道的排列。这项研究将利用数值模拟和现场三角洲的网络分析来测试海浪、潮汐和洪水如何影响三角洲河道的配置及其对环境变化的响应。该团队将通过夏季研讨会吸引研究生，并用跨学科方法对他们进行培训，以解决科学、工业和政策相关领域的问题。三角洲通道网络表现出复杂的模式，这对于理解三角洲自我维护和外部扰动的恢复能力至关重要。拟议的研究旨在通过基于图论、数值建模的三管齐下的方法，通过三角洲河道网络的视角来研究三角洲，并分析 60 多个不同水文气候环境和人为影响水平的野外三角洲。最终目标是通过以下方式加深我们对三角洲形态动力学和对变化的响应的理解：（1）将网络属性与底层物理过程联系起来，（2）提出三角洲分类框架，以及（3）探索三角洲自组织最优性原则并解释可能的偏差。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas

北极三角洲季节性湖区动态的航道网络控制

• DOI: 10.1029/2019gl086710
• 发表时间: 2020
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Vulis, Lawrence;Tejedor, Alejandro;Schwenk, Jon;Piliouras, Anastasia;Rowland, Joel;Foufoula‐Georgiou, Efi
• 通讯作者: Foufoula‐Georgiou, Efi

Unique superdiffusion induced by directionality in multiplex networks

• DOI: 10.1088/1367-2630/abdb71
• 发表时间: 2020-11
• 期刊: New Journal of Physics
• 影响因子: 3.3
• 作者: Xiangrong Wang;A. Tejedor;Yi Wang;Y. Moreno

Diffusion Dynamics and Optimal Coupling in Multiplex Networks with Directed Layers

具有定向层的多重网络中的扩散动力学和最优耦合

• DOI: 10.1103/physrevx.8.031071
• 发表时间: 2018
• 期刊: Physical Review X
• 影响因子: 12.5
• 作者: Tejedor, Alejandro;Longjas, Anthony;Foufoula-Georgiou, Efi;Georgiou, Tryphon T.;Moreno, Yamir
• 通讯作者: Moreno, Yamir

The Entropic Braiding Index ( eBI ): A Robust Metric to Account for the Diversity of Channel Scales in Multi‐Thread Rivers

熵编织指数 ( eBI )：解释多线河流河道规模多样性的稳健指标

• DOI: 10.1029/2022gl099681
• 发表时间: 2022
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Tejedor, Alejandro;Schwenk, Jon;Kleinhans, Maarten;Limaye, Ajay B.;Vulis, Lawrence;Carling, Paul;Kantz, Holger;Foufoula‐Georgiou, Efi
• 通讯作者: Foufoula‐Georgiou, Efi

A velocity-variation-based formulation for bedload particle hops in rivers

• DOI: 10.1017/jfm.2020.1126
• 发表时间: 2021-02
• 期刊: Journal of Fluid Mechanics
• 影响因子: 3.7
• 作者: Zi Wu;Arvind Singh;E. Foufoula‐Georgiou;M. Guala;Xu-dong Fu;Guangqian Wang