Polluter identification with spaceborne radar imagery, AIS and forward drift modeling.

This study defines and assesses a new operational concept to identify the origin of pollution at sea, based on Synthetic Aperture Radar, Automatic Identification System, and a forward drift model. As opposed to traditional methodologies where the SAR detected pollution is backtracked in the past, our approach assumes that all the vessels pollute all along their way. Based on all the AIS data flows, the forward-tracked simulated pollutions are then compared to the detected pollution, and the potential polluter can be finally identified. Case studies are presented to showcase its usefulness in a variety of maritime situations with a focus on orphan pollutions in a dense traffic area. Out of the identification of the suspected polluters, the age and eventually the type of the pollution can be retrieved.

[1]  Per S. Daling,et al.  Weathering of Oils at Sea: Model/Field Data Comparisons , 1999 .

[2]  Florent Lyard,et al.  Modeling the barotropic response of the global ocean to atmospheric wind and pressure forcing ‐ comparisons with observations , 2003 .

[3]  Oliver Muellenhoff,et al.  Marine polluter identification: backtracking with the aid of satellite imaging. , 2010 .

[4]  M. Rio.  Use of Altimeter and Wind Data to Detect the Anomalous Loss of SVP-Type Drifter’s Drogue , 2012 .

[5]  C. Provost,et al.  The oceanic tides in the South Atlantic Ocean , 1994 .

[6]  Eric Greiner,et al.  A strategy for producing refined currents in the Equatorial Atlantic in the context of the search of the AF447 wreckage , 2012, Ocean Dynamics.

[7]  O. Francis,et al.  Modelling the global ocean tides: modern insights from FES2004 , 2006 .

[8]  C. Ambjorn.  Seatrack Web forecasts and backtracking of oil spills - an efficient tool to find illegal spills using AIS , 2008, 2008 IEEE/OES US/EU-Baltic International Symposium.

[9]  Chris Turner,et al.  The role of wind and emulsification in modelling oil spill and surface drifter trajectories , 1994 .

[10]  M. Drévillon,et al.  Evaluation of global monitoring and forecasting systems at Mercator Océan , 2013 .

[11]  null null,et al.  State-of-the-Art Review of Modeling Transport and Fate of Oil Spills , 1996 .

[12]  William G. Gray,et al.  A wave equation model for finite element tidal computations , 1979 .

[13]  Gary D. Egbert,et al.  Accuracy assessment of global barotropic ocean tide models , 2014 .

[14]  Sonia Castanedo,et al.  Application of HF radar currents to oil spill modelling. , 2009, Marine pollution bulletin.