CAREER: The Delta Connectome: Structure and Transport Dynamic of Delta Networks across Scales and Disciplines

职业：达美连接组：跨规模和学科的达美网络的结构和传输动态

• 批准号: 1350336
• 负责人: Paola Passalacqua
• 金额: $ 53.27万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2020-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1350336&HistoricalAwards=false
• 关键词: CAREER; Delta; Connectome; Structure; Transport

Rich in ecosystem diversity and economic resources, deltas host approximately half a billion people. However, anthropogenic disturbance, natural subsidence, and eustatic sea-level rise are major causes of threat to deltas and managing and preserving these dynamic centers of activity is imperative. This CAREER project creates a research/educational framework, the Delta Connectome, based on the general idea of a delta as a directed network of connected paths, which interact continuously at a broad range of spatial and temporal scales that dictate system response to change. Such relationships have been established in many fields, from metabolic networks and food webs, to neural interactions, but similar work on deltaic systems has yet to be developed. The project will use a network-theoretic framework, incorporating remote sensing data analysis, numerical modeling, and field observations, to develop software that will characterize the spatial and temporal variability of deltas and quantify couplings among variables within these systems. How the system responds to change and its resilience to natural and anthropogenic perturbations at varying spatial and temporal scales will then be determined. Specific goals of this project include: (i) the objective quantification of delta morphologic features to identify the signature of vegetation, anthropogenic disturbance, and processes responsible for delta formation and evolution; (ii) the development of an automatic image processing-based tool for the extraction of relevant information from remotely sensed data; (iii) the identification of the environmental controls on channel network and shoreline dynamics through coupled analysis of extracted features; and (iv) the quantification of strength, directionality, statistical significance, and scale of couplings among key variables and the effect of anthropogenic disturbance and change on such couplings. Ultimately, the software will provide a valuable tool for studying deltaic systems and informing coastal restoration. Human-induced activities and climatic shifts are significantly impacting deltas around the world. A quantitative description of the form and structure of deltas and their dynamics is fundamental to address how they react to changes in climatic forces and human pressure. The project provides an innovative combination of teaching, training, learning, and dissemination activities to communicate these impacts to the research community, the public, and future scientists. The tools developed from the project will be released as open source software through the Community Surface Dynamics Modeling System (CSDMS) repository and National Center for Earth-Surface Dynamics (NCED) website. NCED Summer Institutes will provide annual tutorials on software use and the tools will also be integrated into courses taught at the University of Texas at Austin (UT-Austin). Additionally, an Exploration Unit directed to high school students will be developed for the UTeach Engineering Program at UT-Austin. In this unit, remote sensing imagery and visual arts will be used to present environmental problems such as coastal restoration and the effect of humans and climate on the natural environment.

三角洲拥有丰富的生态系统多样性和经济资源，约有5亿人口。 然而，人为干扰，自然沉降和海平面上升是威胁三角洲的主要原因，管理和保护这些动态活动中心是势在必行的。 这个CAREER项目创建了一个研究/教育框架，三角洲连接组，基于三角洲作为连接路径的有向网络的一般思想，这些路径在广泛的空间和时间尺度上不断相互作用，决定系统对变化的反应。 这种关系已经在许多领域建立起来，从代谢网络和食物网到神经相互作用，但三角洲系统的类似工作尚未开发。 该项目将使用一个网络理论框架，结合遥感数据分析、数值建模和实地观测，开发软件，描述三角洲的空间和时间变异性，并量化这些系统内变量之间的耦合。 然后将确定该系统如何应对变化，以及在不同的空间和时间尺度上对自然和人为扰动的恢复能力。 该项目的具体目标包括：㈠客观量化三角洲形态特征，以确定植被、人为干扰和三角洲形成和演变过程的特征; ㈡开发一种自动图像处理工具，用于从遥感数据中提取有关信息;（iii）通过对提取的特征进行耦合分析，确定对水道网络和海岸线动态的环境控制;以及（iv）强度、方向性、统计显著性关键变量之间的耦合程度以及人为干扰和变化对这种耦合的影响。 最终，该软件将为研究三角洲系统和为沿海恢复提供信息提供一个有价值的工具。 人类活动和气候变化正在严重影响世界各地的三角洲。三角洲的形式和结构及其动态的定量描述是解决它们如何对气候力量和人类压力的变化作出反应的根本。 该项目提供了教学，培训，学习和传播活动的创新组合，以将这些影响传达给研究界，公众和未来的科学家。 从该项目开发的工具将通过社区表面动力学建模系统（CSDMS）存储库和国家地球表面动力学中心（NCED）网站作为开源软件发布。 NCED暑期学院将提供关于软件使用的年度教程，这些工具也将被整合到德克萨斯大学奥斯汀分校（UT-Austin）的课程中。 此外，一个针对高中生的探索单元将为UT奥斯汀的UTeach工程项目开发。 在这一单元，遥感图像和视觉艺术将被用来呈现环境问题，如海岸恢复和人类和气候对自然环境的影响。

项目成果

Biogeochemical and Hydrological Variables Synergistically Influence Nitrate Variability in Coastal Deltaic Wetlands

生物地球化学和水文变量协同影响沿海三角洲湿地硝酸盐变化

• DOI: 10.1029/2020jg005737
• 发表时间: 2021
• 期刊: Journal of Geophysical Research: Biogeosciences
• 作者: Sendrowski, Alicia;Castañeda‐Moya, Edward;Twilley, Robert;Passalacqua, Paola
• 通讯作者: Passalacqua, Paola

Resilience of River Deltas in the Anthropocene

• DOI: 10.1029/2019jf005201
• 发表时间: 2020-03-01
• 期刊: JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
• 影响因子: 3.9
• 作者: Hoitink, A. J. F.;Nittrouer, J. A.;van Maren, D. S.
• 通讯作者: van Maren, D. S.

Characterization of Deltaic Channel Morphodynamics From Imagery Time Series Using the Channelized Response Variance

使用通道化响应方差从图像时间序列表征三角洲通道形态动力学

• DOI: 10.1029/2019jf005118
• 发表时间: 2019
• 期刊: Journal of Geophysical Research: Earth Surface
• 作者: Jarriel, Teresa;Isikdogan, Leo F.;Bovik, Alan;Passalacqua, Paola
• 通讯作者: Passalacqua, Paola

RivaMap: An automated river analysis and mapping engine

• DOI: 10.1016/j.rse.2017.03.044
• 发表时间: 2017-12-01
• 期刊: REMOTE SENSING OF ENVIRONMENT
• 影响因子: 13.5
• 作者: Isikdogan, Furkan;Bovik, Alan;Passalacqua, Paola
• 通讯作者: Passalacqua, Paola

Global rates and patterns of channel migration in river deltas

河流三角洲河道迁移的全球速率和模式

• DOI: 10.1073/pnas.2103178118
• 发表时间: 2021
• 期刊: Proceedings of the National Academy of Sciences
• 作者: Jarriel, Teresa;Swartz, John;Passalacqua, Paola
• 通讯作者: Passalacqua, Paola