0.0 1.0×109 18.55 35.0 5.3 50.44 Kerosene & Jet 50.0 14.4 50.44 Fuel 15.0 69.2 50.44 30.0 14.4 170.1 Diesel 45.0 48.6 170.1 25.0 243.0 170.1 24.0 14.4 170.1 Fuel Oil #4 37.0 48.6 170.1 39.0 1.0×109 170.1 22.0 14.4 170.1 Medium Crude 26.0 48.6 170.1 52.0 1.0×109 170.1 20.0 14.4 170.1 Fuel Oil #6 15.0 48.6 170.1 65.0 1.0×109 170.1 100.0 1.0×109 3.5×109 User Definable 0.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 100.0 1.0×109 3.5×109 Conservative 0.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 100.0 1.0×109 3.5×109 Default 0.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 This is appropriate for simple drills and educative comparisons, but since GNOME’s oil types and oil weathering are very rudimentary, during a real spill the GNOME trajectories are calculated with the oil type, and then ERD’s weathering application ADIOS2 (Automated Data Inquiry for Oil Spills) is run to get detailed information on the oil fate. The ADIOS2 oil weathering model has better evaporation and oil fate estimates than GNOME, and also has an extensive oil library. Spills Spilled substances are modeled as point masses (up to 10,000) called LEs (Lagrangian elements) or “splots” (from “spill dots”). Pollutants are not treated as blobs with variable volume and thickness. Parameters assigned to each point mass include location (latitude/longitude), release time, age,
0.0 1.0×109 18.55 Kerosene & Jet Fuel 35.0 5.3 50.44 50.0 14.4 50.44 15.0 69.2 50.44 Diesel 30.0 14.4 170.1 45.0 48.6 170.1 25.0 243.0 170.1 Fuel Oil #4 24.0 14.4 170.1 37.0 48.6 170.1 39.0 1.0×109 170.1 Medium Crude 22.0 14.4 170.1 26.0 48.6 170.1 52.0 1.0×109 170.1 Fuel Oil #6 20.0 14.4 170.1 15.0 48.6 170.1 65.0 1.0×109 170.1 User Definable 100.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 Conservative 100.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 Default 100.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 0.0 1.0×109 3.5×109 This is appropriate for simple drills and educative comparisons, but since GNOME’s oil types and oil weathering are very rudimentary, during a real spill the GNOME trajectories are calculated with the oil type, and then ERD’s weathering application ADIOS2 (Automated Data Inquiry for Oil Spills) is run to get detailed information on the oil fate. The ADIOS2 oil weathering model has better evaporation and oil fate estimates than GNOME, and also has an extensive oil library. Spills Spilled substances are modeled as point masses (up to 10,000) called LEs (Lagrangian elements) or “splots” (from “spill dots”). Pollutants are not treated as blobs with variable volume and thickness. Parameters assigned to each point mass include location (latitude/longitude), release time, age,
GNOME_Tech_Doc.docx