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PRJ-1775 | RAPID: A Coordinated Structural Engineering Response to Hurricane Irma (and Hurricane Maria in Puerto Rico)
PI
Co-PIs;
Project TypeField research
Natural Hazard Type(s)Hurricane
Event(s)
Hurricane Maria | | 2017-09-20 ― 2017-09-19 | Lat long
Related Work
KeywordsHurricane Maria, Puerto Rico, wind, reconnaissance, hurricanes
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Description:

The active 2017 hurricane season included multiple hurricanes impacting the United States from its mainland to the US Virgin Islands and Puerto Rico. Hurricane Irma left a path of destruction across the Caribbean, including landfall on September 6, 2017 in the British Virgin Islands, just east of the US Virgin Islands, as a Category 5 hurricane. The hurricane inflicted minor impacts on Puerto Rico as it continued through the Caribbean towards Florida. Shortly thereafter, Maria made its way through the caribbean, eventually making its US landfall on September 20 near Yabucoa, Puerto Rico as a strong Category 4 hurricane, causing considerable damage to large portions of the island from wind, storm surge and inland flooding hazards. As part of a wider coordinated effort to conduct assess damage resulting from this sequence of hurricanes, a regional node was established in Puerto Rico to organize local reconnaissance efforts across the island between October 6 and November 18, 2017. Separate efforts were organized for Florida as well as the US Virgin Islands, each curated as separate DesignSafe projects (PRJ-1828 and PRJ-2685, respectively). Though personally impacted by the hurricane, the majority of assessments were conducted by Puerto Rican researchers over a number of weeks following the hurricane. Additional support was provided by a mainland US team, who joined these efforts for a short campaign (Nov. 15-18, 2017). The Investigations employed primarily door-to-door Damage Assessments to document the performance of buildings, using a customized Fulcrum smartphone application. At select locations, the mainland US team executed unmanned aerial surveys (UAS). Following the reconnaissance effort, a team of student Data Librarians were trained to execute a comprehensive Data Enrichment and Quality Control (DE/QC) process.

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