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: 1809412
• 负责人: W. Christopher Lenhardt
• 金额: $ 1.3万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-12-15 至 2018-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1809412&HistoricalAwards=false
• 关键词: RAPID; COLLABORATIVE; RESEARCH; Building; Infrastructure

There is an urgent need to understand the impacts of severe flooding and infrastructure damage on public health after natural disasters. One limitation to effective disaster response is easy and rapid access to diverse information about available resources, community resource needs, baseline and current environmental conditions. This project aims to expand access to environmental and drinking water quality disaster response and recovery data in a publicly available format using a widely used collaborative online sharing platform named HydroShare. Curating a central repository of assembled data has the potential to greatly facilitate coordinated disaster responses of all types, and improve the monitoring of the recovery process. The project team will prototype this system with an assessment of drinking water, environment, and public health concerns unique to Puerto Rico in the aftermath of Hurricane Maria. By working directly with public water utilities, the project team intends to characterize and map the severity of impaired water resources and distribution systems in Puerto Rico, inform communities about how to protect themselves against hazards specific to their water, and to contribute to rebuilding so the nation is better prepared for future hurricanes. Developing cyber and social infrastructure to understand the dynamics of drinking water contamination after natural disasters will improve disaster preparedness and response, and contribute to efforts across the nation and the world to build for a resilient future.Recovery efforts from natural disasters can be more efficient with data-driven information on current needs and future risks. This project aims to advance open-source software infrastructure to support scientific investigation and data-driven decision making with a prototype system using a water quality assessment developed to investigate post-Hurricane Maria drinking water contamination in Puerto Rico. The widespread disruption of water treatment processes and uncertain drinking water quality within distribution systems in Puerto Rico poses risk to human health. However, there is no existing digital infrastructure to scientifically determine the impacts of the hurricane to inform a response to the crisis. After every natural disaster, including hurricane Maria, elementary questions on how to provide high quality water supplies and support basic human health are difficult to answer. This project will archive and make accessible data on environmental variables unique to Puerto Rico and Hurricane Maria, damage caused by the storm, and will begin to address time sensitive needs of citizens. By working directly with drinking water utilities to collect samples of biological and inorganic drinking water quality, this project aims to generate understanding and awareness of the degree to which drinking water systems were impacted by Hurricane Maria and the status of drinking water infrastructure and emergency recovery in Puerto Rico after the storm. The goal of this project is to advance understanding of how the severity of a hazard to human health (e.g., no access to safe culinary water) is related to the sophistication, connectivity, and operations of the physical and related digital infrastructure systems. By rapidly collecting data in the early stages of recovery, the team plans to test the design of an integrated cyberinfrastructure system to increase the accessibility of environmental and health data for understanding the impacts from hurricane-related natural disasters. The team will test and stress the CUAHSI HydroShare data publication mechanisms and capabilities to (1) assess the spatial and temporal presence of waterborne pathogens in public water systems impacted by a natural disaster, (2) demonstrate usability of HydroShare as a clearinghouse to centralize selected datasets related to Hurricane Maria, and (3) develop a prototype cyberinfrastructure to assess environmental conditions and public health impacted by natural disasters. By rapidly collecting data in the early stages of recovery, The team plans to test the design of an integrated cyberinfrastructure system to increase the accessibility of environmental and health data for understanding the impacts from hurricane-related natural disasters. This work will develop a prototype of a software infrastructure system to advance understanding of how data-driven information can reduce the impacts of natural disaster and serve as a platform for future research. The project thus serves to not only document post-disaster conditions, but develops a process to track the impact of recovery over time, as monitored through health, power availability and water quality.

迫切需要了解自然灾害后严重的洪水和基础设施损害对公共卫生的影响。有效灾难响应的一个局限性是轻松且快速访问有关可用资源，社区资源需求，基准和当前环境条件的多种信息。该项目旨在使用名为Hydroshare的广泛协作的在线共享平台，以公开可用的格式扩大对环境和饮用水质量灾难响应和恢复数据的访问。 策划组装数据的中央存储库有可能极大地促进各种类型的协调灾难反应，并改善对恢复过程的监视。项目团队将通过评估饮用水，环境和公共卫生的评估来实例化该系统，这是玛丽亚飓风之后的波多黎各所特有的。通过直接与公共用水公用事业合作，该项目团队打算表征和绘制波多黎各的水资源和分配系统受损的严重性，告知社区如何保护自己免受特定的水域危害，并为重建做出贡献，以便为未来的飓风做好准备。开发网络和社会基础设施以了解自然灾害之后饮用水污染的动态，将改善灾难的准备和反应，并为全国和全世界的努力做出贡献，以建立弹性的未来。自然灾害的回忆工作可以更有效地利用有关当前需求和未来风险的数据驱动的信息。该项目旨在推进开源软件基础设施，以使用原型系统进行科学研究和数据驱动的决策，并采用水质评估来调查波多黎各的赫鲁里卡后玛丽亚饮用水污染。波多黎各的分配系统内的水处理过程的普遍破坏和不确定的饮用水质量给人类健康带来了风险。但是，没有现有的数字基础设施来科学地确定飓风对危机的反应的影响。在包括玛丽亚飓风在内的每一次自然灾害之后，很难回答有关如何提供高质量供水和支持基本人类健康的基本问题。 该项目将归档并提供有关波多黎各和玛丽亚飓风所特有的环境变量的可访问数据，这是由风暴造成的损害，并将开始满足公民的时间敏感需求。通过直接与饮用水公用事业一起收集生物学和无机饮用水质量样本，该项目旨在对饮用水系统受到玛丽亚飓风影响的程度以及饮用水基础设施的影响以及波多黎各的饮用水基础设施和紧急恢复的状况。该项目的目的是促进对人类健康危害的严重性（例如，没有安全烹饪水的通道）如何与物理和相关数字基础设施系统的复杂性，连通性和操作有关。通过在恢复的早期阶段迅速收集数据，该团队计划测试综合网络基础设施系统的设计，以增加环境和健康数据的可访问性，以了解与飓风相关的自然灾害的影响。该团队将测试和强调Cuahsi Hydrosare数据发布机制和功能，以（1）评估受自然灾害影响的公共供水系统中水生病原体的空间和时间存在，（2）水力保存的可用性作为销售室，证明了与飓风的自然疾病相关的杂货店，并将其集中在飓风中，并在飓风中产生了proTot cybrastras to protot to and（3）protot cybrastras for and（3）灾难。通过在恢复的早期阶段快速收集数据，该团队计划测试综合网络基础设施系统的设计，以增加环境和健康数据的可访问性，以了解与飓风相关的自然灾害的影响。 这项工作将开发软件基础架构系统的原型，以促进对数据驱动信息如何减少自然灾害影响并作为未来研究的平台的理解。因此，该项目不仅可以记录污点后的条件，而且还开发了一个过程来跟踪随着时间的推移恢复的影响，如健康，功率可用性和水质所监控。