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Mar Pollut Bull ; 62(1): 140-53, 2011 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-20880556


MOON (Mediterranean Operational Oceanography Network provides near-real-time information on oil-spill detection (ocean color and SAR) and predictions [ocean forecasts (MFS and CYCOFOS) and oil-spill predictions (MEDSLIK)]. We employ this system to study the Lebanese oil-pollution crisis in summer 2006 and thus to assist regional and local decision makers in Europe, regionally and locally. The MEDSLIK oil-spill predictions obtained using CYCOFOS high-resolution ocean fields are compared with those obtained using lower-resolution MFS hydrodynamics, and both are validated against satellite observations. The predicted beached oil distributions along the Lebanese and Syrian coasts are compared with in situ observations. The oil-spill predictions are able to simulate the northward movement of the oil spill, with the CYCOFOS predictions being in better agreement with satellite observations. Among the free MEDSLIK parameters tested in the sensitivity experiments, the drift factor appears to be the most relevant to improve the quality of the results.

Liberación de Peligros Químicos/estadística & datos numéricos , Monitoreo del Ambiente/métodos , Petróleo/análisis , Contaminantes Químicos del Agua/química , Contaminación Química del Agua/estadística & datos numéricos , Predicción , Líbano , Mar Mediterráneo , Modelos Químicos , Tecnología de Sensores Remotos , Movimientos del Agua , Contaminantes Químicos del Agua/análisis
J Air Waste Manag Assoc ; 55(4): 523-35, 2005 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-15887895


In this study, an attempt was made to analyze time series of air quality measurements (O3, SO2, SO4(2-), NOx) conducted at a remote place in the eastern Mediterranean (Finokalia at Crete Island in 1999) to obtain concrete information on potential contributions from emission sources. For the definition of a source-receptor relationship, advanced meteorological and dispersion models appropriate to identify "areas of influence" have been used. The model tools used are the Regional Atmospheric Modeling System and the Lagrangian-type particle dispersion model (forward and backward in time), with capabilities to derive influence functions and definition of "areas of influence." When high levels of pollutants have been measured at the remote location of Finokalia, particles are released from this location (receptor) and traced backward in time. The influence function derived from particle distributions characterizes dispersion conditions in the atmosphere and also provides information on potential contributions from emission sources within the modeling domain to this high concentration. As was shown in the simulation results, the experimental site of Finokalia in Crete is influenced during the selected case studies, primarily by pollutants emitted from the urban conglomerate of Athens. Secondarily, it is influenced by polluted air masses arriving from Italy and/or the Black Sea Region. For some specific cases, air pollutants monitored at Finokalia were possibly related to war activities in the West Balkan Region (Kosovo).

Contaminantes Atmosféricos/análisis , Monitoreo del Ambiente/métodos , Modelos Teóricos , Movimientos del Aire , Atmósfera , Control de Calidad , Reproducibilidad de los Resultados