RAPID: Collaborative Research: Building Digital Infrastructure and Communities to Assess Risk of Drinking Water Hazards Caused by Hurricanes

飓风过后，响应人员需要信息来满足人类的迫切需求。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。还需要信息来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相关信息，以建立一个连贯的数据系统。网络平台将使这些数据得以共享，以帮助了解飓风和洪水如何影响物理和数字基础设施。公众更多地获得环境和健康数据将有助于社区防止饮用水污染，以保护人类健康，并为未来的事件做好计划。飓风和洪水的影响正在增加；社区越来越有兴趣从事研究，其成果可用于保护和教育自己免受水害。恢复期是让公众参与研究的一个重要机会，以评估与饮用水有关的健康风险，并更好地为最脆弱人口的未来水安全做好准备。该项目将创建一个综合的数据和软件系统，以提高我们对数字和物理基础设施信息如何利用一个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，以及对佛罗伦萨飓风和玛丽亚飓风新数据集存档的培训。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、未识别的饮用水质量采样，以及其他公共数据来源，包括来自非营利性、政府以及开放和众包的数据集。水文研究社区信息库灾害协调、数据收集和信息传播网络正在分享教育工具，以生成飓风影响的分析和可视化，以满足目前的需要，并为下一个飓风季节做好准备。公共用户参与、研究界支持以及持续的软件操作和维护是持续开发和使用分析工具和数据集的关键。我们的研究使用了飓风佛罗伦萨和玛丽亚的数据集以及来自北卡罗来纳州和波多黎各的案例研究，以改善我们共享知识和建设能力的方式，以支持世界各地可能使用数字基础设施来培养自我复原力的社区。这一奖项反映了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。

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.