Combining Predicted Seabird Movements and Oil Drift Using Lagrangian Agent-Based Model Solutions
In traditional oil spill risk assessments, the mortality of seabirds is typically assessed based on a simulated amount of oil combined with a statistical and static (seasonal mean) number of birds within a given grid cell. The size of the cell is typically in the order of 10 by 10 km. Cell averaging...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/83791 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | In traditional oil spill risk assessments, the mortality of seabirds is typically assessed based on a simulated amount of oil combined with a statistical and static (seasonal mean) number of birds within a given grid cell. The size of the cell is typically in the order of 10 by 10 km. Cell averaging in a coarse Eulerian grid will inevitably introduce a high degree of uncertainty with respect to real impact, and due to the patchiness in seabird distribution may result in over-estimation of impacts outside high-density areas and underestimation within high-density patches. Lagrangian agent-based modelling of species movements and oil drift directly would provide consistent results independent of the grid resolution and, at the same time, provide a fine-scale resolution of potential impacts. The robustness of this approach is demonstrated for a potential oil spill in the Barents Sea in an area with a high density of Common Guillemot, followed by a discussion on how this approach can improve future risk assessments during oil spills. |
|---|---|
| ISBN: | 978-1-80356-299-5 |
| DOI: | 10.5772/intechopen.106956 |