RAPID/Collaborative Research: Collection of Perishable Hurricane Sandy Data on Weather-Related Damage to Urban Power and Transit Infrastructure

这项快速反应研究拨款(RAPID)将收集2012年10月29日登陆的飓风桑迪造成的易腐烂损失数据。这是一场非常大的风暴(根据美国国家海洋和大气管理局的数据，直径近800英里)，影响了纽约(长岛和纽约大都市区)和新泽西的大片海岸线。根据风速判断，此次风暴为1级。然而，由于它的规模和与月球高潮重合，它产生了高风暴潮。由于巨浪和海浪的作用，纽约大都会地区的沿海建筑物遭到严重破坏。由于隧道泛滥和停电，纽约大都会区的大部分地区停电，交通系统无法运行。该项目将收集纽约大都会地区天气、风暴潮和洪水、停电、交通中断以及基础设施相互依存的数据。该项目将识别、收集和传播飓风桑迪对纽约大都会地区电力和交通基础设施造成的与天气有关的灾害和破坏数据。天气数据将包括风暴潮、洪水、降雨量和风速的测量。数据收集的空间范围将是纽约大都市区的中转区和负责公共交通网络的电力输送系统的服务区。将对天气和损坏数据进行地理编码，并在基础设施恢复期间每隔一段时间确定时间表。研究小组将应用各种数据收集技术，包括地面观测、卫星数据以及航空和水基测量地图。将在数据库中确定运输和停电之间的相互依赖关系。由此产生的数据库将加强美国工程和城市规划社区的研究基础设施。

This Rapid Response Research Grant (RAPID) will collect perishable damage data caused by Hurricane Sandy that made landfall on October 29, 2012. It was a very large storm (almost 800 miles in diameter according to National Oceanic and Atmospheric Administration) that affected large areas of coastlines of New York (Long Island and New York Metropolitan area) and New Jersey. The storm was judged to be Category 1 based on its wind speed. However, because of its size and coinciding with high lunar tide, it generated high storm surge. The New York Metropolitan area sustained severe damage to coastal structures due to surge and wave actions. Most of the New York Metropolitan area lost electrical power and the transportation system became inoperable because of flooding of tunnels and loss of power. The project will collect data on weather, storm surge and floods, power outage, transit stoppage, and interdependencies of infrastructures in New York Metropolitan area.The project will identify, collect and disseminate weather-related hazard and damage data induced by Hurricane Sandy for power and transit infrastructure in New York Metropolitan area. The weather data will include measurements of storm surge, flooding, rainfall and wind speeds. The spatial extent of the data collection will be the transit region of New York Metropolitan area and the service areas of the power delivery systems responsible for the transit networks. The weather and damage data will be geo-coded and timelines at regular intervals over the duration of infrastructure recovery will be established. The research team will apply various techniques for data collection including ground-based observations, satellite data, and aerial and water-based survey maps. Interdependencies between transit and power outages will be identified in the database. The resulting database will enhance the research infrastructure of the engineering and urban planning communities in the U.S.