Corinne Bowers
Dados Biográficos
| ID | 9720754 |
|---|---|
| NOME | Corinne Bowers |
| PRENOMES | Corinne |
| SOBRENOME | Bowers |
| ASSINATURA | BOWERS C |
| AFILIAÇÕES | Stanford University |
| ORCID | 0000-0002-8007-6317 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Drawing the line
Millions of Californians live behind levees constructed to redirect water and prevent floods. Accurate assessments of these levees are crucial in flood hazard maps, which underpin federal floodplain regulations and insurance rates provided by the National Flood Insurance Program. However, when the federal government digitized California’s flood maps in the 2000s, it used a simplistic binary procedure that assessed levees as either meeting the min…
Coupling of Atmospheric Rivers and Levee Failure Events in California’s Sacramento–San Joaquin Delta, 1980–2021
California’s Sacramento–San Joaquin delta is situated at the confluence of the Sacramento and San Joaquin Rivers, where more than 60 agricultural islands are protected by levees. The region has experienced hundreds of floods since the levees were first built in the mid-1800s; however, the state of California has contributed millions of dollars to levee maintenance and improvements since the 1970s. Using a novel dataset of 57 levee failure events …
Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning
The intensity of an atmospheric river (AR) is only one of the factors influencing the damage it will cause. We use random forest models fit to hazard, exposure, and vulnerability data at different spatial and temporal scales in California to predict the probability that a given AR event will cause flood damage, as measured by National Flood Insurance Program (NFIP) claims. We first demonstrate the usefulness of data-driven models and interpretabl…
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Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning
The intensity of an atmospheric river (AR) is only one of the factors influencing the damage it will cause. We use random forest models fit to hazard, exposure, and vulnerability data at different spatial and temporal scales in California to predict the probability that a given AR event will cause flood damage, as measured by National Flood Insurance Program (NFIP) claims. We first demonstrate the usefulness of data-driven models and interpretabl…
Coupling of Atmospheric Rivers and Levee Failure Events in California’s Sacramento–San Joaquin Delta, 1980–2021
California’s Sacramento–San Joaquin delta is situated at the confluence of the Sacramento and San Joaquin Rivers, where more than 60 agricultural islands are protected by levees. The region has experienced hundreds of floods since the levees were first built in the mid-1800s; however, the state of California has contributed millions of dollars to levee maintenance and improvements since the 1970s. Using a novel dataset of 57 levee failure events …
Drawing the line
Millions of Californians live behind levees constructed to redirect water and prevent floods. Accurate assessments of these levees are crucial in flood hazard maps, which underpin federal floodplain regulations and insurance rates provided by the National Flood Insurance Program. However, when the federal government digitized California’s flood maps in the 2000s, it used a simplistic binary procedure that assessed levees as either meeting the min…
Flood Risk Assessment and Management (3 obras) · Engineering (2 obras) · Environmental Science (2 obras) · Flood myth (2 obras) · Geotechnical engineering (2 obras) · Levee (2 obras) · Accreditation (1 obras) · Agricultural risk and resilience (1 obras) · Coastal and Marine Dynamics (1 obras) · Computer Science (1 obras)