Developing a Framework to Optimize FloodNet Sensor Deployments Around NYC for Equitable and Impact-based Hyper-local Street-level Flood Monitoring and Data Collection
| 项目名称： | Developing a Framework to Optimize FloodNet Sensor Deployments Around NYC for Equitable and Impact-based Hyper-local Street-level Flood Monitoring and Data Collection |
| 摘要： | The project will build a framework to optimize and prioritize locations for FloodNet sensor deployment for measurement of hyper-local flooding in New York City (NYC). The research team proposes using comprehensive risk and equity metrics to locate optimal placement of FloodNet sensors around NYC. The team will develop a framework and define metrics with feedback from the NYC Mayor’s offices, partners since the initial development of the FloodNet sensors, to ensure the project’s successful implementation. To this end, the team plans to build a risk-informed digital twin of NYC integrating multiple data streams. The approach is probabilistic and based on rigorous risk analysis to study various flood impacts and capture the influential uncertainties in stormwater, tidal and compound flood events. The team anticipates using risk metrics based on impacts, e.g., fatalities or subway and street disruptions, rather than relying on direct hazard metrics, such as flood depth and extent, alone. The digital twin will utilize explicit equity risk metrics, e.g., identifying neighborhoods at disproportionally higher risk, and consider the equity priorities of NYC and the FloodNet project. This project is timely as the project team plans to deploy the FloodNet network on an unprecedentedly large scale in partnership with NYC, to meet the City’s agenda for climate resilience. |
| 状态： | Active |
| 资金： | 169989 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART) |
| 执行机构： | New York University Tandon School of Engineering |
| 主要研究人员： | Ceferino, Luis；Silverman, Andrea；Henaff, Elizabeth；Mydlarz, Charlie；Brain, Tega |
| 开始时间： | 20220301 |
| 预计完成日期： | 20230228 |
| 主题领域： | Data and Information Technology；Environment；Planning and Forecasting；Society；Transportation (General) |
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