RAPID: Collaborative Research: Building Digital Infrastructure and Communities to Assess Risk of Drinking Water Hazards Caused by Hurricanes
RAPID:合作研究:建设数字基础设施和社区以评估飓风造成的饮用水危害风险
基本信息
- 批准号:1902600
- 负责人:
- 金额:$ 15.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-07-01 至 2021-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
After a hurricane, responders need information to address immediate human needs. Among the most important needs is to ensure that drinking water is not contaminated by flooding or system failure. Information is also needed to learn from past events to reduce the impacts in the future. This project will compile environmental and related information from Hurricane Maria in Puerto Rico and Hurricane Florence in North Carolina to create a cohesive data system. A web platform will enable the sharing of these data to help understand how hurricanes and flooding impact physical and digital infrastructure. Increased public access to environmental and health data will help communities prevent drinking water contamination to protect human health, as well as plan for future events. Impacts from hurricanes and floods are increasing; there is growing interest by communities to engage in research with outcomes usable to protect and educate themselves against water hazards. The recovery period is an important opportunity to engage the public in research to assess drinking water related health risks and better prepare for future water security for the most vulnerable populations. This project will create a synthesized data and software system to advance our understanding of how digital and physical infrastructure information reduce the impact of disasters using an integrated collaborative platform for ongoing research. Current data collection includes assessment of data and cyberinfrastructure needs as well as training for archiving new datasets for Hurricane Florence and Hurricane Maria. Datasets include hurricane observations, flood maps, storm track forecasts, National Water Model forecasts, de-identified drinking water quality sampling, and other public data sources including from non-profit, government, and open and crowd-sourced datasets. The hydrologic research community repository, HydroShare, will provide a point of access for research findings, with interoperability designed to link to data models and repositories used by natural hazards, environmental health, and environmental engineering communities in a consistent, documented format. Networks disaster coordination data collection and information dissemination are sharing educational tools to generate analyses and visualization of hurricane impacts to address ongoing needs and prepare for the next hurricane season. Public user engagement, research community support, and ongoing software operations and maintenance are key to continuous development and usability of the analysis tools and datasets. Our study uses Hurricanes Florence and Maria datasets and case studies from North Carolina and Puerto Rico to improve how we share knowledge and build capacity to support communities around the world who may use digital infrastructure to foster self-resiliency.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.
飓风过后,救援人员需要信息来解决人们的迫切需求。最重要的需求之一是确保饮用水不受洪水或系统故障的污染。还需要从过去的事件中吸取教训,以减少未来的影响。该项目将汇编来自波多黎各飓风玛丽亚和北卡罗来纳州飓风佛罗伦萨的环境和有关资料,以建立一个连贯的数据系统。一个网络平台将使这些数据能够共享,以帮助了解飓风和洪水如何影响物理和数字基础设施。增加公众获得环境和健康数据的机会将有助于社区防止饮用水污染,保护人类健康,并为今后的事件作出计划。飓风和洪水的影响正在增加;社区越来越有兴趣参与研究,其结果可用于保护和教育自己免受水害。恢复期是一个重要的机会,可以让公众参与研究,以评估与饮用水有关的健康风险,并为最脆弱人口未来的水安全做好更好的准备。该项目将创建一个综合数据和软件系统,以促进我们对数字和物理基础设施信息如何利用正在进行的研究的综合协作平台减少灾害影响的理解。目前的数据收集包括对数据和网络基础设施需求的评估,以及为飓风佛罗伦萨和飓风玛丽亚存档新数据集的培训。数据集包括飓风观测、洪水地图、风暴路径预报、国家水模型预报、去识别饮用水质量采样,以及其他公共数据源,包括来自非营利组织、政府、开放和众包的数据集。水文研究社区存储库HydroShare将为研究成果提供一个访问点,其互操作性旨在以一致的文档格式将自然灾害、环境健康和环境工程社区使用的数据模型和存储库链接起来。网络灾害协调、数据收集和信息传播正在共享教育工具,以产生飓风影响的分析和可视化,以解决当前的需求并为下一个飓风季节做好准备。公共用户参与、研究社区支持以及持续的软件操作和维护是分析工具和数据集持续开发和可用性的关键。我们的研究使用了佛罗伦萨飓风和玛丽亚飓风的数据集以及北卡罗来纳州和波多黎各的案例研究,以改进我们如何分享知识和建设能力,以支持世界各地可能使用数字基础设施培养自我恢复能力的社区。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。
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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Christina Bandaragoda其他文献
Christina Bandaragoda的其他文献
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{{ truncateString('Christina Bandaragoda', 18)}}的其他基金
RAPID: COLLABORATIVE RESEARCH: Building Infrastructure to Prevent Disasters like Hurricane Maria
快速:合作研究:建设基础设施以预防飓风玛丽亚等灾害
- 批准号:
1810886 - 财政年份:2017
- 资助金额:
$ 15.81万 - 项目类别:
Standard Grant
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