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: 1948944
• 负责人: Ibrahim Demir
• 金额: $ 50.44万
• 依托单位: University of Iowa
• 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=1948944&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.

有关河流形状、河床形态和沉积物负荷的信息对于帮助了解与河道相关的研究和管理问题至关重要，但是，这些信息在公共领域并不容易获取或提供，该项目将创建一个名为 RiverMorph 的网络平台。 RiverMorph 还将支持与国家水资源相关的当前和未来问题的管理。RiverMorph 开发的数据和工具将创建三维河流形态结构的数字表示。大多数的美国河流，可以支持与河流修复、基础设施设计和食品风险缓解相关的基础研究和实际需求。该项目将展示 RiverMorph 平台如何改进河流流量预测并生成准确的洪水淹没地图，从而帮助拯救生命和安全。 RiverMorph 网络平台将通过与社区合作伙伴的扩展团队合作来设计和开发，其中包括负责管理美国水资源的州和联邦机构：1)。开放、集成且独立于平台；2）灵活且适应新型数据和操作功能；3）易于使用，以鼓励各种利益相关者的贡献；4）响应多种最终用户的需求。技术背景；以及 5) 项目持续时间之外的可持续性的互操作性和可扩展性 将通过仔细评估河流数据的可用性和可访问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。将解决以下研究问题的具体科学测试案例： 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) 河流几何形状如何最好？跨空间尺度进行描述，从低阶单一河流到大型河流网络，以准确模拟河流水动力和洪水 3) 数据驱动的方法如何提高对河流和河流-洪泛区-流域连通性的理解，以支持大型建模方法在项目过程中，利益相关者和更广泛的地球科学界的参与将促进 RiverMorph 的实施和采用。该项目由地理信息学、水文科学以及地貌学和土地利用动力学联合资助该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。