Environmental Engineering Reference
In-Depth Information
7. Castanedo, S., Juanes, J.A., Medina, R., Puente, A., Fernandez, F., Olabarrieta, M., Pombo,
C.: Oil spill vulnerability assessment integrating physical, biological and socio-economical
aspects: application to the Cantabrian coast (Bay of Biscay, Spain). J. Environ. Manag. 91 ,
149-159 (2009)
8. Csanady, G.T.: Turbulent diffusion in the environment. Geophysics and Astrophysics Mono-
graphs, vol. 3. Reidel, Boston (1973)
9. Davies, A.M., Kwong, S.C.M., Flather, R.A.: On determining the role of wind wave turbulence
and grid resolution upon computed storm driven currents. Cont. Shelf Res. 20 , 1825-1888
(2000)
10. De Dominicis, M., Leuzzi, G., Monti, P., Pinardi, N., Poulain, P.-M.: Eddy diffusivity derived
from drifter data for dispersion model applications. Ocean Dyn. 62 , 1381-1398 (2012)
11. De Dominicis, M., Pinardi, N., Zodiatis, G., Archetti, R.: MEDSLIK-II, a Lagrangian marine
surface oil spill model for short-term forecasting—part 2: numerical simulations and valida-
tions. Geosci. Model Dev. 6 , 1871-1888 (2013)
12. De Dominicis, M., Pinardi, N., Zodiatis, G., Lardner, R.: MEDSLIK-II, a Lagrangian marine
surface oil spill model for short-term forecasting-part 1: theory. Geosci. Model Dev. 6 ,
1851-1869 (2013)
13. Farrington, J.W.: Oil pollution in the marine environment i: inputs, big spills, small spills, and
dribbles. Environ.: Sci. Policy Sustain. Dev. 55 , 3-13 (2013). doi: 10.1080/00139157.2013.
843980
14. Galt, J.A.: Uncertainty analysis related to oil spill modelling. Spill Sci. Technol. Bull. 4 ,
231-238 (1998)
15. Gilbert, T.: Maritime response operations requirements for metocean data and services. In:
Conference andWorkshop onMeteorological andOceanographic Services forMarine Pollution
Emergency Response Operations, Townsville, Australia, 13-17 July 1998
16. Hackett, B., Comerma, E., Daniel, P., Ichikawa, H.: Marine oil pollution prediction. Oceanog-
raphy 22 (3), 168-175 (2009). doi: 10.5670/oceanog.2009.75
17. Haza, A.C., Ozgokmen, T.M., Griffa, A., Garraffo, Z.D., Piterbarg, L.: Parameterization of
particle transport at submesoscales in the Gulf Stream region using Lagrangian subgridscale
models. Ocean Model. 42 , 31-49 (2012). doi: 10.1016/j.ocemod.2011.11.005
18. Hou, X., Hodges, B.R.: IntegratingGoogleMaps/Earth in an automated oil spill forecast system.
Mar. Technol. Soc. J. 48 (4), 78-85 (2014)
19. Hou, X., Hodges, B.R., Negusse, S., Barker, C.: Amulti-model Python wrapper for operational
oil spill transport forecasts. Comput. Sci. Discov. (submitted) (2014)
20. Jensen, J.R., Ramsey III, E.W., Holmes, J.M., Michel, J.E., Savitsky, B., Davis, B.A.: Envi-
ronmental Sensitivity Index (ESI) mapping for oil spills using remote sensing and geographic
information system technology. Int. J. Geograph. Inf. Syst. 4 , 181-201 (1990)
21. Ji, Z.G.: Hydrodynamics and Water Quality: Modelling Rivers, Lakes, and Estuaries. Wiley,
Hoboken (2008)
22. Kim, T.-H., Yang, C.-S., Oh, J.-H., Ouchi, K.: Analysis of the contribution of wind drift factor
to oil slick movement under strong tidal condition: Hebei spirit oil spill case. PLoS ONE 9 (1),
e87393 (2014)
23. Lardner, R., Zodiatis, G., Hayes, D., Pinardi, N.: Application of the MEDSLIKOil Spill Model
to the Lebanese Spill of July 2006. European Group of Experts on Satellite Monitoring of Sea
Based Oil Pollution, European Communities (2006)
24. Lehr, W., Jones, R., Evans, M., Simecek-Beatty, D., Overstreet, R.: Revisions of the ADIOS
oil spill model. Environ. Model. Softw. 17 , 191-199 (2002)
25. Marinone, S.G.: A numerical simulation of the two- and three-dimensional Lagrangian circu-
lation in the northern Gulf of California. Estuar., Coast. Shelf Sci. 68 , 93-100 (2006)
26. Mariano, A.J., Kourafalou, V.H., Srinivasan, A., Halliwell, G.R., Ryan, E.H., Roffer, M.: On
the modelling of the 2010 Gulf of Mexico Oil Spill. Dyn. Atmos. Ocean 52 , 322-340 (2011).
doi: 10.1016/j.dynatmoce.2011.06.001
27. Marta-Almeida, M., Ruiz-Villarreal, M., Pereira, J., Otero, P., Cirano, M., Zhang, X., Hetland,
R.D.: Efficient tools for marine operational forecast and oil spill tracking. Mar. Pollut. Bull.
71 , 139-151 (2013). doi: 10.1016/j.marpolbul.2013.03.022
 
Search WWH ::




Custom Search