David O Prevatt
Biographic Data
| ID | 9720380 |
|---|---|
| NAME | David O Prevatt |
| GIVEN NAMES | David |
| FAMILY NAME | O Prevatt |
| SIGNATURE | PREVATT D O |
| AFFILIATIONS | University of Florida |
| ORCID | 0000-0001-9365-9776 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Empirical hurricane fragility assessment of elevated and slab-on-grade residential houses
Predictive modeling of severe weather impact on individuals and populations using Machine Learning
In this work, Machine Learning (ML) techniques are used to develop tools capable of accurately predicting the impact of severe weather events. We use readily accessible predictors, including daily meteorological data, basic demographics, geographic and terrain features, along with the number of daily meteorological incidents reported to the emergency services. The model was built using dissaggregated data from the 947 municipalities from the regi…
A Unified Multievent Windstorm Performance Testbed for Single-Family Residential Buildings
Recent advancements in technology and infrastructure have greatly improved the capabilities of the natural hazards community to collect robust samples of building performance following hazard events and make them available to the research community for broad reuse purposes. Yet, there lacks standardized, open access data sets that combine reconnaissance data from multiple individual hazard events into unified, living testbeds that can grow throug…
No prominent works on this page.
Empirical hurricane fragility assessment of elevated and slab-on-grade residential houses
Predictive modeling of severe weather impact on individuals and populations using Machine Learning
In this work, Machine Learning (ML) techniques are used to develop tools capable of accurately predicting the impact of severe weather events. We use readily accessible predictors, including daily meteorological data, basic demographics, geographic and terrain features, along with the number of daily meteorological incidents reported to the emergency services. The model was built using dissaggregated data from the 947 municipalities from the regi…
A Unified Multievent Windstorm Performance Testbed for Single-Family Residential Buildings
Recent advancements in technology and infrastructure have greatly improved the capabilities of the natural hazards community to collect robust samples of building performance following hazard events and make them available to the research community for broad reuse purposes. Yet, there lacks standardized, open access data sets that combine reconnaissance data from multiple individual hazard events into unified, living testbeds that can grow throug…
Engineering (3 works) · Environmental Science (3 works) · Tropical and Extratropical Cyclones Research (3 works) · Computer Science (2 works) · Fragility (2 works) · Geography (2 works) · Meteorological Phenomena and Simulations (2 works) · Meteorology (2 works) · Wind and Air Flow Studies (2 works) · Chemistry (1 work)