William P Lehman
Dados Biográficos
| ID | 9720252 |
|---|---|
| NOME | William P Lehman |
| PRENOMES | William P |
| SOBRENOME | Lehman |
| ASSINATURA | LEHMAN W P |
| AFILIAÇÕES | Senior Flood Risk Manager, Water Resources Systems Div., Hydrologic Engineering Center, Davis, CA 95616 |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 0 |
Community Response to Hurricane Threat
The data on warning diffusion rates over time are generally sparse and are extremely limited for hurricanes. This is a potential problem for transportation analysts who are trying to compute evacuation time estimates for coastal jurisdictions. The available data indicate that 20%–50% of the households in areas at risk continually monitor local news media as soon as a hurricane is within 72 h of possible landfall in their area. Moreover, this perc…
Community Response to Hurricane Threat
Hurricane evacuation warnings from local officials are one of the most significant determinants of households’ evacuation departure times. Consequently, it is important to know how long after the National Hurricane Center (NHC) issues a hurricane watch or warning that local officials wait to issue evacuation warnings. The distribution of local evacuation warning issuance delays determined from poststorm assessment data shows a wide range of warni…
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Community Response to Hurricane Threat
Hurricane evacuation warnings from local officials are one of the most significant determinants of households’ evacuation departure times. Consequently, it is important to know how long after the National Hurricane Center (NHC) issues a hurricane watch or warning that local officials wait to issue evacuation warnings. The distribution of local evacuation warning issuance delays determined from poststorm assessment data shows a wide range of warni…
Community Response to Hurricane Threat
The data on warning diffusion rates over time are generally sparse and are extremely limited for hurricanes. This is a potential problem for transportation analysts who are trying to compute evacuation time estimates for coastal jurisdictions. The available data indicate that 20%–50% of the households in areas at risk continually monitor local news media as soon as a hurricane is within 72 h of possible landfall in their area. Moreover, this perc…
Computer Science (2 obras) · Environmental Science (2 obras) · Evacuation and Crowd Dynamics (2 obras) · Geography (2 obras) · Meteorology (2 obras) · Telecommunications (2 obras) · Tropical and Extratropical Cyclones Research (2 obras) · Warning system (2 obras) · Actuarial science (1 obras) · Business (1 obras)