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Palabras clave – provistas por la editorial

n/a; environmental monitoring; Italian seas; simulation; Kotor bay; RANS; oil spill; reflection coefficient; Lagrangian particle dispersion; dispersion effectiveness (DE); M/V Marathassa oil spill; wave tank; environmental resources; emergency management; statistical region-based classification; trajectory model; proactive systems; OSCAR; oil slicks characterization; synthetic aperture radar; multi-frequency detector; Salish Sea; coastal protection; Outer Continental Shelf; man-made oil spills; non-breaking ocean waves; methods of vulnerability mapping to oil; Campeche Bay; oil-slick discrimination algorithm; arithmetic operations with rank values; oil spill pollution; petrogenic oil-slick category; coastal flow; numerical simulation; probability density function; polarimetric SAR data (PolSAR); the English Bay; PROMETHEE methodology; ordinal values; oil spill accidents; Western Canadian Select (condensate mixed with synthetic crude/bitumen-dilsynbit); RADARSAT; hindcast; Princeton Ocean Model; contingency plan; statistical analysis; ocean trajectory; the problems of vulnerability maps development; Heidrun; Foss Barge; marine information systems; polarized SAR data; oil spill mitigation plans; probability of detection; contingency planning; oil spill model; FVCOM; Synthetic Bitumen (synthetic crude/bitumen-Synbit); electromagnetic roughness; windage; Access Western Blend (condensate/bitumen-dilbit); dispersant; naturally-occurring oil seeps; oil spills; Point Wells; model comparison; remote sensing; decision support systems; oil spill response; exploratory data analysis; random walk method; signal integration; impact modeling; low atmosphere; numerical forecasting tool; multiple observations; uncertainty maps; risk modelling; oil spill risk analysis; Gulf of Mexico; trajectory analysis; Vancouver Harbour; sea-coastal zones; marine pollution; GNOME; oil thickness; UAVSAR; LES; BLOSOM