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
基本信息
- 批准号:1948944
- 负责人:
- 金额:$ 50.44万
- 依托单位:
- 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:
- 关键词:
项目摘要
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、河床形态和泥沙负荷的信息对于帮助了解与河道有关的研究和管理问题至关重要。然而,这种信息不容易在公共领域获得或提供。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美国大多数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,从而帮助挽救生命并节省与洪水损失相关的费用。RiverMorph网络平台的设计和开发将通过与社区合作伙伴的扩展团队进行,包括负责管理美国水资源的州和联邦机构。RiverMorph将是:1)开放、集成和独立于平台; 2)灵活并适应新类型的数据和运营能力; 3)易于使用,以鼓励各种利益相关者的贡献; 4)响应具有不同技术背景的多个最终用户的需求; 5)可互操作和可扩展,以实现项目持续期以外的可持续性。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)河道形态如何在十年时间尺度上发生变化,以及如何对底层过程进行建模,以协助水资源工程和管理决策?2)如何才能最好地描述河流几何跨越空间尺度范围从低阶单流到大型河流网络,以准确地模拟河流水动力学和洪水?3)数据驱动的方法如何提高对流向和河流-洪泛区-流域连通性的理解,以支持大时空尺度上的建模方法?RiverMorph的实施和采用将通过与利益相关者和更广泛的地球科学界在项目过程中的参与来促进。该项目由地理信息学,水文科学,该奖项反映了NSF的法定使命,并通过使用基金会的知识产权进行评估,被认为值得支持。优点和更广泛的影响审查标准。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ibrahim Demir其他文献
Measuring the Efficiency of Secondary Schools in Different Regions in Turkey Using Data Envelopment Analysis
使用数据包络分析衡量土耳其不同地区中学的效率
- DOI:
- 发表时间:
2010 - 期刊:
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Ibrahim Demir;Özer Depren;Serpil Kiliç Nunan;David - 通讯作者:
David
Modeling leaching behavior of solidified wastes using back-propagation neural networks
- DOI:
10.1016/j.ecoenv.2007.10.019 - 发表时间:
2009-03-01 - 期刊:
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Senem Bayar;Ibrahim Demir;Guleda Onkal Engin - 通讯作者:
Guleda Onkal Engin
Imminent Pulmonary Embolism: A Fatal Mobile Right Atrial Thrombus
- DOI:
10.1007/s10554-005-7438-3 - 发表时间:
2005-12-14 - 期刊:
- 影响因子:1.500
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Ibrahim Basarici;Huseyin Yilmaz;Ibrahim Demir;Selim Yalcinkaya - 通讯作者:
Selim Yalcinkaya
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
将生成式人工智能融入黑客马拉松:机遇、挑战和教育意义
- DOI:
10.48550/arxiv.2401.17434 - 发表时间:
2024 - 期刊:
- 影响因子:0
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Ramteja Sajja;Carlos Erazo Ramirez;Zhou‐Bo Li;B. Demiray;Y. Sermet;Ibrahim Demir - 通讯作者:
Ibrahim Demir
An Immersive Hydroinformatics Framework with Extended Reality for Enhanced Visualization and Simulation of Hydrologic Data
具有扩展现实功能的沉浸式水文信息学框架,用于增强水文数据的可视化和模拟
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Uditha Herath Mudiyanselage;Eveline Landes Gonzalez;Y. Sermet;Ibrahim Demir - 通讯作者:
Ibrahim Demir
Ibrahim Demir的其他文献
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{{ truncateString('Ibrahim Demir', 18)}}的其他基金
Collaborative Research: CyberTraining: Implementation: Small: Inclusive Cyberinfrastructure and Machine Learning Training to Advance Water Science Research
合作研究:网络培训:实施:小型:包容性网络基础设施和机器学习培训,以推进水科学研究
- 批准号:
2320980 - 财政年份:2024
- 资助金额:
$ 50.44万 - 项目类别:
Standard Grant
Collaborative Research: A Physics-Informed Flood Early Warning System for Agricultural Watersheds with Explainable Deep Learning and Process-Based Modeling
合作研究:基于物理的农业流域洪水预警系统,具有可解释的深度学习和基于过程的建模
- 批准号:
2243776 - 财政年份:2023
- 资助金额:
$ 50.44万 - 项目类别:
Standard Grant
Framework: Software: Collaborative Research: CyberWater: An open and sustainable framework for diverse data and model integration with provenance and access to HPC
框架:软件:协作研究:CyberWater:一个开放且可持续的框架,用于集成各种数据和模型,并提供 HPC 的来源和访问权限
- 批准号:
1835338 - 财政年份:2019
- 资助金额:
$ 50.44万 - 项目类别:
Standard Grant
Spokes: MEDIUM: MIDWEST: Collaborative: An Integrated Big Data Framework for Water Quality Issues in the Upper Mississippi River Basin
辐条:媒介:中西部:协作:密西西比河流域上游水质问题的综合大数据框架
- 批准号:
1761887 - 财政年份:2018
- 资助金额:
$ 50.44万 - 项目类别:
Standard Grant
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