Reconstructing Repetitive Flood Exposure Across 78 Events From 1996 to 2020 in North Carolina, USA

Shranjeno v:
Bibliografske podrobnosti
izdano v:Earth's Future vol. 13, no. 7 (Jul 1, 2025)
Glavni avtor: Garcia, Helena M.
Drugi avtorji: Sebastian, Antonia, Fitzmaurice, Kieran P., Hino, Miyuki, Collins, Elyssa L., Characklis, Gregory W.
Izdano:
John Wiley & Sons, Inc.
Teme:
Online dostop:Citation/Abstract
Full Text
Full Text - PDF
Oznake: Označite
Brez oznak, prvi označite!

MARC

LEADER 00000nab a2200000uu 4500
001 3234061372
003 UK-CbPIL
022 |a 2328-4277 
024 7 |a 10.1029/2025EF006026  |2 doi 
035 |a 3234061372 
045 0 |b d20250701 
084 |a 243349  |2 nlm 
100 1 |a Garcia, Helena M.  |u Environment, Ecology and Energy Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 
245 1 |a Reconstructing Repetitive Flood Exposure Across 78 Events From 1996 to 2020 in North Carolina, USA 
260 |b John Wiley & Sons, Inc.  |c Jul 1, 2025 
513 |a Journal Article 
520 3 |a Measuring flooding through time is crucial for understanding exposure and vulnerability — key components to estimating flood risks and impacts. Yet, historical records of flood inundation are sparse. In this study, we reconstruct flood extents for 78 damaging events in eastern North Carolina between 1996 and 2020 using high‐resolution geospatial data and address‐level National Flood Insurance Program (NFIP) records. We train random forest models on NFIP‐based labeled flood presence and absence data and a suite of geospatial predictors. Then, we predict the probability of flood damage at every 30 m grid cell within our model domain. Our models achieve an average Area Under the Curve of 0.76 and outperform flood extent estimates from process‐based and remote sensing models when evaluated against NFIP data for six events. We find that approximately 90,000 (2.3%) buildings in our study area flooded at least once, of which over 20,000 (0.53%) flooded more than once. Our estimate is more than double the number of buildings that filed NFIP claims between 1996 and 2020. Furthermore, 43% of flooded buildings are located outside the Federal Emergency Management Agency (FEMA) Special Flood Hazard Area. Our results illustrate that flood exposure, especially repetitive exposure, is much more widespread than previously recognized. By generating a comprehensive record of past flood extents using address‐level observations of damage, we create a first‐of‐its‐kind geospatial database that can be used to identify locations of repetitive flooding. This represents a crucial first step in examining the dynamic relationships between flood exposure, vulnerability, and risk. 
610 4 |a Federal Emergency Management Agency National Oceanic & Atmospheric Administration--NOAA 
651 4 |a United States--US 
651 4 |a North Carolina 
653 |a Flood management 
653 |a Datasets 
653 |a Flood damage 
653 |a Estimates 
653 |a Remote sensing 
653 |a Emergency management 
653 |a Flood hazards 
653 |a Flood insurance 
653 |a Environmental risk 
653 |a Flooding 
653 |a Flood risk 
653 |a Exposure 
653 |a Emergency preparedness 
653 |a Floods 
653 |a Buildings 
653 |a Machine learning 
653 |a Spatial data 
653 |a Infrastructure 
653 |a Remote sensing systems 
653 |a Satellites 
653 |a Flood predictions 
653 |a Environmental 
700 1 |a Sebastian, Antonia  |u Environment, Ecology and Energy Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 
700 1 |a Fitzmaurice, Kieran P.  |u Department of Environmental Sciences and Engineering, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 
700 1 |a Hino, Miyuki  |u Environment, Ecology and Energy Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 
700 1 |a Collins, Elyssa L.  |u Department of Earth, Marine and Environmental Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 
700 1 |a Characklis, Gregory W.  |u Department of Environmental Sciences and Engineering, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 
773 0 |t Earth's Future  |g vol. 13, no. 7 (Jul 1, 2025) 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3234061372/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3234061372/fulltext/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3234061372/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch