RAPID: COLLABORATIVE RESEARCH: Building Infrastructure to Prevent Disasters like Hurricane Maria

目前迫切需要了解自然灾害后严重洪灾和基础设施受损对公众健康的影响。有效应对灾害的一个限制是容易和快速地获得关于可用资源、社区资源需求、基线和当前环境条件的各种信息。该项目旨在利用一个被广泛使用的在线共享平台管理一个汇集数据的中央储存库有可能极大地便利协调一致的各类灾害应对工作，并改进对恢复进程的监测。项目团队将对飓风玛丽亚过后波多黎各特有的饮用水、环境和公共卫生问题进行评估，形成该系统的原型。通过直接与公共水务公司合作，项目组打算描述和绘制波多黎各水资源和分配系统受损的严重程度，告知社区如何保护自己免受特定于其水的危害，并为重建做出贡献，以便国家更好地为未来的飓风做好准备。发展网络和社会基础设施，以了解自然灾害后饮用水污染的动态，将改善备灾和应对能力，并有助于全国和世界各地努力建设有弹性的未来。借助有关当前需求和未来风险的数据驱动信息，自然灾害的恢复工作可以更有效率。该项目旨在推进开放源码软件基础设施，以支持科学调查和数据驱动的决策，使用一个原型系统，使用为调查波多黎各飓风玛丽亚后饮用水污染而开发的水质评估。波多黎各的水处理过程普遍中断，供水系统内的饮用水质量不确定，对人类健康构成威胁。然而，目前还没有现有的数字基础设施来科学地确定飓风的影响，为应对危机提供信息。在每一次自然灾害之后，包括飓风玛丽亚，如何提供高质量的水供应和支持基本的人类健康的基本问题都很难回答。该项目将存档和提供波多黎各和飓风玛丽亚所特有的环境变量、风暴造成的损害等方面的数据，并将开始满足公民对时间的敏感需求。通过直接与饮用水公用事业公司合作收集生物和无机饮用水水质样本，该项目旨在使人们了解和认识飓风玛丽亚对饮用水系统的影响程度，以及波多黎各的饮用水基础设施和风暴过后紧急恢复的状况。该项目的目标是增进对人类健康危害的严重性(例如，无法获得安全的烹饪用水)与物理和相关数字基础设施系统的复杂性、连通性和操作之间的关系的理解。通过在恢复的早期阶段快速收集数据，该小组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及性，以了解飓风相关自然灾害的影响。该小组将测试和强调CUAHSI Water Share数据发布机制和能力，以(1)评估受自然灾害影响的公共水系统中水传播病原体的空间和时间存在情况，(2)展示AquShare作为信息交换中心的可用性，以集中与飓风Maria有关的选定数据集，以及(3)开发一个原型网络基础设施，以评估受自然灾害影响的环境条件和公共健康。通过在恢复的早期阶段快速收集数据，该小组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及性，以了解飓风相关自然灾害的影响。这项工作将开发一个软件基础设施系统的原型，以促进对数据驱动的信息如何能够减少自然灾害的影响的理解，并作为未来研究的平台。因此，该项目不仅用来记录灾后情况，而且还制定了一个程序，通过健康、电力供应和水质监测，跟踪恢复工作随时间的影响。

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.