Collaborative Research: River Morphology Data and Analysis Tools (RiverMorph): A Web Platform for Enabling River Morphology Research

合作研究：河流形态数据和分析工具（RiverMorph）：实现河流形态研究的网络平台

• 批准号: 1948972
• 负责人: Justin Minear
• 金额: $ 4.87万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948972&HistoricalAwards=false
• 关键词: Collaborative; Research; River; Morphology; Data

Information on river shape, bed morphology and sediment load are critical to help inform research and management issues related to river channels. However, such information is not easily accessible or available in the public domain. This project will create a web platform, entitled RiverMorph, to aggregate, store, share, and analyze river-related scientific data. RiverMorph will also support management of current and future issues related to the nation’s water resources. The data and tools developed for RiverMorph will create digital representations of three-dimensional river morphological structures of most U.S. rivers, which can support fundamental research and practical needs related to stream rehabilitation, infrastructure design, and food risk mitigation. This project will demonstrate how the RiverMorph platform can improve river flow forecasts and produce accurate flood inundation maps that subsequently can help save lives and expense related to flood damages.The RiverMorph web platform will be designed and developed through collaborations with an extended team of community partners, including state and federal agencies, who are responsible for managing U.S. water resources. RiverMorph will be: 1) open, integrated and platform independent; 2) flexible and adaptable to new types of data and operational capabilities; 3) easy to use in order to encourage contributions from a wide variety of stakeholders; 4) responsive to the needs of multiple end users with diverse technical backgrounds; and 5) interoperable and scalable for sustainability beyond the project duration. The prototype RiverMorph resource will be developed by carefully assessing the availability and accessibility of river data and the needs of potential stakeholders. The usability and adaptability of RiverMorph will be demonstrated through specific science test cases that will address the following research questions: 1) How does channel morphology change over decadal time scales, and how can the underlying processes be modeled to assist with water resources engineering and management decisions? 2) How can river geometry be best described across spatial scales ranging from low order single streams to large stream networks for accurately simulating river hydrodynamics and flooding? 3) How can data-driven approaches improve the understanding of streamwise and river-floodplain-watershed connectivity for supporting modeling approaches over large spatio-temporal scales? Implementation and adoption of RiverMorph will be facilitated by engaging with stakeholders and the broader earth sciences community over the course of the project.This project is jointly funded by the Geoinformatics, the Hydrologic Sciences, and the Geomorphology and Land Use Dynamics programs in the Division of Earth Sciences.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.

关于河流形状、河床形态和泥沙负荷的信息对于帮助研究和管理与河道有关的问题至关重要。然而，这些信息不容易获得，也不容易在公共领域获得。该项目将创建一个名为RiverMorph的网络平台，用于聚合、存储、共享和分析与河流相关的科学数据。RiverMorph还将支持与国家水资源有关的当前和未来问题的管理。为RiverMorph开发的数据和工具将创建大多数美国河流的三维河流形态结构的数字表示，这可以支持与河流修复、基础设施设计和减轻食品风险相关的基础研究和实际需求。该项目将展示RiverMorph平台如何改善河流流量预测，并生成准确的洪水淹没地图，从而帮助挽救与洪水损失相关的生命和费用。RiverMorph网络平台将通过与社区合作伙伴的扩展团队合作设计和开发，包括负责管理美国水资源的州和联邦机构。RiverMorph将是：1)开放、集成、独立于平台；2)灵活适应新型数据和操作能力；3)易于使用，以鼓励来自各种利益相关者的贡献；4)响应具有不同技术背景的多个终端用户的需求；5)可互操作和可扩展，以便在项目持续时间之外保持可持续性。原型RiverMorph资源将通过仔细评估河流数据的可用性和可及性以及潜在利益相关者的需求来开发。RiverMorph的可用性和适应性将通过具体的科学测试案例来证明，这些测试案例将解决以下研究问题：1)河道形态在十年时间尺度上如何变化，以及如何对潜在过程进行建模以协助水资源工程和管理决策？2)如何在空间尺度上，从低阶的单一河流到大的河流网络，最好地描述河流的几何形状，以准确地模拟河流的水动力学和洪水？3)数据驱动的方法如何提高对河流和河流-洪泛平原-流域连通性的理解，以支持大时空尺度的建模方法？RiverMorph的实施和采用将通过在项目过程中与利益相关者和更广泛的地球科学界的接触而得到促进。该项目由地球科学部的地理信息学、水文科学、地貌学和土地利用动力学项目共同资助。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。