Collaborative Research: Dynamic connectivity of river networks as a framework for identifying controls on flux propagation and assessing landscape vulnerability to change

合作研究：河流网络的动态连通性作为识别通量传播控制和评估景观变化脆弱性的框架

• 批准号: 2342936
• 负责人: Arvind Singh
• 金额: $ 32.53万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2027-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2342936&HistoricalAwards=false
• 关键词: Collaborative; Research; Dynamic; connectivity; river

River networks play a critical role in shaping landscapes by facilitating the transport and distribution of environmental fluxes such as water, sediment, and nutrients. These networks not only provide habitats for freshwater species but also serve as conduits for water-borne pathogens that can cause severe diseases. Researchers will develop a predictive framework that will provide quantitative understanding of how the topological (structural connectivity), geometric (channel length, slope, etc.), and emergent features (e.g., channel ephemerality) of river networks influence the dynamics of flux movement under both steady and transient conditions. This framework will have the potential to assess how different scenarios of change, such as climate and land use change, may affect the future of river networks in their capacity to transport hydrological, ecological, and biogeochemical fluxes throughout the landscape. This framework can also inform decisions about managing river networks to reduce their flooding potential and frequency, as well as the concentration of pathogens at critical locations within a basin. The project will disseminate fundamental and applied knowledge about river networks and their transport patterns and properties, with a focus on their relevance to hydrologic, engineering and earth sciences, to a diverse audience of K-12, undergraduate, and graduate students. The proposed research takes a holistic (mathematical-physical-observational) approach to understanding the flux dynamics on river networks by integrating static, dynamic and emergent connectivity attributes within a single framework that offers the potential to assess how different scenarios of change, such as climate and land use change, may affect the future of river networks in their capacity to transport hydrological, ecological, and biogeochemical fluxes throughout the landscape. It leverages the strengths of network theory, remote sensing and field observations, hydrologic principles and numerical modeling to decipher the key topological, geometric, and emergent controls that govern dynamic patterns of flux transport on river networks. In particular, the researchers aim to (i) unveil the most relevant controls imposed by river networks on the aggregation of fluxes during the transport process, (ii) quantify their relation with external forcing such as climate and human actions, and (iii) propose vulnerability indicators for identifying hot spots of change.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.

河网络通过促进环境通量（例如水，沉积物和养分）的运输和分配来塑造景观。这些网络不仅为淡水物种提供栖息地，而且还可以作为可能引起严重疾病的水传播病原体的管道。研究人员将开发一个预测框架，该框架将对拓扑（结构连通性），几何（通道长度，斜率等）以及河网络的新出现特征（例如，通道厄法尔术语）如何影响稳定和瞬态条件下的通量运动动态。该框架将有可能评估不同的变化方案（例如气候和土地使用变化）如何以其在整个景观中运输水文，生态和生物地球化学通量的能力影响河网的未来。该框架还可以告知关于管理河流网络以减少其洪水潜力和频率的决策，以及盆地关键位置的病原体的浓度。该项目将传播有关河网络及其运输方式和财产的基本知识，并将其与水文，工程和地球科学相关的重点，向K-12，本科生和研究生的多元化受众群体。 拟议的研究采用了一种整体（数学 - 物理观察）方法来理解河网络上的通量动态，通过将静态，动态和新兴的连通性属性整合在一个单个框架内，该属性可以评估不同的变化场景如何评估不同的气候和土地使用变化等不同的河流网络的运输范围，并可能影响河流的运输范围。它利用网络理论的优势，遥感和现场观测，水文原理和数值建模来破译主要拓扑，几何和紧急控制，这些控制控制了河网络上通量传输动态的动态模式。特别是，研究人员的目的是（i）公布河网络对运输过程中通量汇总施加的最相关的控制，（ii）量化它们与外部强迫的关系，例如气候和人类行为，（iii）提出脆弱性指标，以识别NSF的Infortional Indertial of Necultory dee IM的范围，以反映了NSF的构建范围。影响审查标准。