Element: Data: HDR: Enabling data interoperability for NSF archives of high-rate real-time GPS and seismic observations of induced earthquakes and structural damage detection in OK

最近的研究已经确定了在石油和天然气勘探的构造被动区域(如最近在俄克拉何马州、德克萨斯州和堪萨斯州经历的地震)中由废水注入引发的地震与在构造活动环境(如加利福尼亚州的断裂带)中的地震之间的关键区别。这对中西部的地震工程有重大影响，那里的建筑库存设计不能抵御大地震或连续地震造成的累积破坏。为了计算结构响应，了解哪些结构具有较高的地震破坏风险，以及为建筑设计和实时决策建立标准，需要估计不同频率下的地面震动水平。该项目利用全球定位系统实时数据分析的最新突破，解决限制地球科学界和工程界使用实时全球定位系统和地震数据的挑战。这项工作开发了新的能力，以独立于环境传感器测量的内容和格式的方式处理数据流。创建这些链接将对大地测量学、地震学和地震工程研究社区之间的互操作性产生重大影响。该项目使用俄克拉荷马州立大学校园和2016年9月波尼5.8级地震现场建筑物上记录的多传感器地球科学和工程数据集，演示了这种方法。这项工作创造了捕捉结构中永久变形的新方法，并更好地了解了构建库存弹性。这项由高级网络基础设施办公室颁发的奖项由既定的激励竞争研究计划(EPSCoR)联合支持。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Recent studies have identified critical differences between earthquakes induced by wastewater injection in tectonically passive regions of oil and gas exploration (such as earthquakes recently experienced in Oklahoma, Texas, and Kansas) and earthquakes in tectonically active environments (such as fault zones in California). This has significant implications for earthquake engineering in the Midwest, where the building inventory was not designed to withstand large earthquakes or cumulative damage due to successive earthquakes. Estimating the level of ground shaking at different frequencies is needed to calculate structural response, understand which structures run higher risks of earthquake damage, and establish criteria for building design and real-time decision making. This project uses recent breakthroughs in real-time GPS data analysis to address challenges limiting the use of real-time GPS and seismic data by the geoscience and engineering communities. The effort develops new capabilities to handle data streams in a manner that is independent of the content and formats of the environmental sensor measurements. Creating these links will have a substantial impact on interoperability among the geodesy, seismology, and earthquake engineering research communities. The project demonstrates the approach using multi-sensor geoscience and engineering datasets recorded on structures on the Oklahoma State University campus and in the field near the location of the Magnitude 5.8 September 2016 Pawnee earthquake. The effort creates new methods for capturing permanent deformation in structures, and a better understanding of building inventory resiliency.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Established Program to Stimulate Competitive Research (EPSCoR).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.