RAPID: Critical Assessment of Drainage Infrastructure Performance in a Sustained Flooding Event: The Case of Hurricane Florence

佛罗伦萨飓风表明，布基纳法索沿海和近沿海地区易受持续洪灾的影响，造成人员伤亡和严重财产损失。虽然排水基础设施的容量和状况在尽量减少此类洪水事件的影响方面发挥着至关重要的作用，但这些系统可能会因极端洪水而受到损坏，这将加剧洪水的影响并缩短排水基础设施的剩余使用寿命。该RAPID项目将评估佛罗伦萨相关的持续洪水对雨水基础设施的结构和水力适用性的影响。项目参与方将收集对时间敏感的峰值流量和资产（包括土壤）性能数据，包括佛罗伦萨飓风期间或之后立即发生的故障和其他重大事件。在此阶段收集的数据应足以用于未来的排水基础设施性能建模和验证。时间敏感的数据需要在被篡改或丢失之前尽快在现场收集。对时间敏感的地理空间数据包括洪水高度和洪峰流量、雨水管道和其他排水基础设施资产的状况评估、资产故障及其机制，以及基础设施相互依赖性造成的连锁故障。收集到的数据将使我们更好地了解持续洪水对排水基础设施的影响。收集的条件数据沿着灾害特征将提供给研究界，用于开发和验证模型，重点关注洪水事件导致的排水基础设施恶化。鉴于美国沿海和近沿海地区对洪水的脆弱性日益增加，该研究项目提供了一个极好的机会，以促进科学认识和收集可能具有广泛影响力的关键经验数据。这项研究的成果将直接帮助受飓风佛罗伦萨影响的地区更好地了解他们的排水基础设施状况，并在未来的洪水事件中提出安全有效的管理建议。该奖项反映了NSF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。

Hurricane Florence demonstrated the vulnerability of coastal and near coastal regions in the Carolinas to sustained flooding, which resulted in the loss of lives and severe property damage. While the capacity and condition of drainage infrastructures play a crucial role in minimizing the impacts of such flooding events, these systems might experience damage due to extreme flooding that will worsen the flooding impacts and diminish the remaining useful life of the drainage infrastructures. This RAPID project will assess the impact of Florence-related sustained flooding on the structural and hydraulic serviceability of the stormwater infrastructure. The project participants will collect time-sensitive peak discharge and asset (including soil) performance data including failures and other significant incidents during or immediately after Hurricane Florence. Data collected in this phase should suffice for future modeling of the drainage infrastructure performance and validation. The time-sensitive data needs to be collected in the field as soon as possible before it is tampered with or lost. Time-sensitive geo-spatial data includes flooding elevations and peak discharges, condition assessment of stormwater pipelines and other drainage infrastructure assets, asset failures and their mechanisms, and cascading failures through infrastructure interdependencies. The collected data will lead to enhanced understanding of the impact of a sustained flooding event on drainage infrastructures. The collected condition data along with hazard characterization will be made available to the research community for developing and validating models focused on drainage infrastructure deterioration due to flooding events. Given the growing vulnerability of coastal and near-coastal regions across the United States to flooding, this research project provides an excellent opportunity to advance scientific understanding and gather critical empirical data that can be broadly impactful. The outcomes of this research will directly assist the Hurricane Florence affected regions with improved knowledge of their drainage infrastructure condition and recommendations for its safe and efficient management during future flooding events.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.