Evaluating Crown Fire Rate of Spread Predictions from Physics-Based Models (Record no. 189655)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01991nab a2200241 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2016 xxu ing |
| 041 ## - IDIOMA | |
| Idioma | Inglés |
| 245 00 - TITULO | |
| Título | Evaluating Crown Fire Rate of Spread Predictions from Physics-Based Models |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | ene. 2016 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 25/07/2016 ; 25/07/2016 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 16 p. ; 221-237 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Transcripción del resúmen realizada por el autor: Modeling the behavior of crown fires is challenging due to the complex set of coupled processes that drive the characteristics of a spreading wildfire and the large range of spatial and temporal scales over which these processes occur. Detailed physics-based modeling approaches such as FIRETEC and the Wildland Urban Interface Fire Dynamics Simulator (WFDS) simulate fire behavior using computational fluid dynamics based methods to numerically solve the three-dimensional, time dependent, model equations that govern, to some approximation, the component physical processes and their interactions that drive fire behavior. Both of these models have had limited evaluation and have not been assessed for predicting crown fire behavior. In this paper, we utilized a published set of field-scale measured crown fire rate of spread (ROS) data to provide a coarse assessment of crown fire ROS predictions from previously published studies that have utilized WFDS or FIRETEC. Overall, 86% of all simulated ROS values using WFDS or FIRETEC fell within the 95% prediction interval of the empirical data, which was above the goal of 75% for dynamic ecological modeling. However, scarcity of available empirical data is a bottleneck for further assessment of model performance. |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 1 |
| 773 0# - CORRECCIÓN | |
| Título | Fire Technology |
| Partes relacionadas | 52 |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Hoffman, C.M. |
| 9 (RLIN) | 55474 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Canfield, J. |
| 9 (RLIN) | 55475 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Mell, W. |
| 9 (RLIN) | 55476 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Sieg, C.H. |
| 9 (RLIN) | 55477 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Pimont, F. |
| 9 (RLIN) | 55478 |
| Biblioteca propietaria | Biblioteca actual | Fecha de adquisición | Inventario | Total de préstamos | Inventario | Fecha de carga | Tipo de item KOHA |
|---|---|---|---|---|---|---|---|
| Biblioteca Alejandro Angel Bulgheroni | Biblioteca Alejandro Angel Bulgheroni | 06/03/2026 | 200061895 | 200061895 | 06/03/2026 | Artículo de Revista |
