CyberSEES: Type 2: A Coastal Resilience Collaboratory: Cyber-enabled Discoveries for Sustainable Deltaic Coasts
CyberSEES: Type 2: A Coastal Resilience Collaboratory: Cyber-enabled Discoveries for Sustainable Deltaic Coasts
批准号:
1856359
负责人:
Qin Chen
金额:
$86.6万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-04-19 至 2021-09-30
中文摘要
总人口超过5亿的现代河流三角洲社区面临全球河流泥沙减少、地面沉降和海平面上升的威胁。降低风险的努力可能需要密集的计算机模拟,这些模拟与数据收集和工程分析相结合,以提供指导。该项目建立了海岸复原力合作实验室,有三重使命:1)加强地球科学家、计算机科学家、网络基础设施专家和沿海工程师之间的合作,负责解决三角洲海岸的可持续性问题;2)利用综合恢复和保护的方法,确定受洪水灾害影响的沿海社区的风险缓解;3)利用NSF对网络基础设施的投资,解决涉及重大国家重大问题的问题,涉及以沿海系统对具体减灾项目的反应为指导的工程设计。将对能够快速共享和整合现有数据资源和计算工具的网络基础设施的有效联系进行评价。该项目还将评估这些网络基础设施产品如何有效地促进高性能计算和数据分析在沿海工程和科学研究界的更广泛使用。拟议的项目具有广泛的更广泛的影响,从教育和劳动力发展,到向普通公众、K-12学生和沿海管理人员和决策者传播研究成果。海岸复原力合作实验室核心研究计划建立在最近资助的海岸SEE项目(EAR-1427389)的基础上,该项目是网络基础设施发展及其启用的模拟实验的科学驱动力。地球系统科学面临的重大挑战之一是利用综合观测网络和模型在适当的空间和时间尺度上表征动态的环境过程。该项目推进了四个要素:1)一个基于Web的高级界面的模拟管理系统,为不熟悉先进计算资源的沿海科学家/工程师提高多物理模型的可用性;2)使用Docker容器技术为云计算打包应用程序,以促进两个大型河流三角洲的原型模拟实验,以验证一系列假设;3)加速器技术,以达到高性能水平,旨在使沿海工程师可以使用GPU加速的Boussinesq代码库来设计可持续的基础设施;以及4)一个用于可视化和移动设备上的工具包访问的应用程序,以支持决策和教育活动。在模型框架中测试系统相互作用的三个模拟实验有望产生基础知识,这些基础知识可以评估三角洲景观变化对世界各地海岸的潜在影响,并提出缓解方案。
英文摘要
Communities on modern river deltas with total populations greater than 500 million people face threats from global reductions in river sediment, land subsidence and rising sea level. Risk mitigation efforts may require intensive computer simulations that are integrated with data collection and engineering analytics for guidance. This project establishes a Coastal Resilience Collaboratory with a three-fold mission: 1) enhance the collaboration among earth scientists, computer scientists, cyberinfrastructure specialists and coastal engineers tasked with solving the sustainability issues of deltaic coasts; 2) identify risk mitigation for coastal communities subject to flooding hazards using approaches that integrate restoration and protection; and 3) leverage NSF investments in cyberinfrastructure to address problems of major national importance involving engineering design guided by coastal system responses to specific hazard mitigation projects. Effective linkages of cyberinfrastructure that enables rapid sharing and integration of available data resources and computational tools will be evaluated. The project will also evaluate how effectively these cyberinfrastructure products promote the wider use of high-performance computing and data analytics in the coastal engineering and science research community. The proposed project has a wide range of broader impacts, ranging from education and workforce development, to dissemination of research results to the general public, K-12 students, and coastal managers and decision makers.The Coastal Resilience Collaboratory core research program builds on a recently funded Coastal SEES project (EAR-1427389), which serves as the science driver for the cyberinfrastructre development and its enabled simulation experiments. One of the grand challenges for earth system science is to characterize dynamic environmental processes at appropriate space and time scales with integrated observation networks and models. The project advances four elements: 1) A simulation management system for a high-level web-based interface, improving multiphysics model usability for coastal scientists/engineers not familiar with advanced computing resources; 2) Application packaging for cloud-computing using Docker container technology to facilitate prototype simulation experiments in two large river deltas to test a range of hypotheses; 3) Accelerator technology to achieve high performance levels aimed at making a GPU- accelerated Boussinesq code base available to coastal engineers for the design of sustainable infrastructure; and 4)Aapplications for visualization and access to toolkits on mobile devices to support decision-making and educational activities. The three simulation experiments that test system interactions in the modeling framework proposed is expected to produce foundational knowledge that can evaluate potential impacts of deltaic landscape change on coasts around the world and suggest mitigation solutions.
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