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The effect of the wind in the Prestige’s oil slicks movements in the Bay of Biscay M. González Ad. Uriarte A. Caballero Azti-Tecnalia / Marine Research.

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Presentation on theme: "The effect of the wind in the Prestige’s oil slicks movements in the Bay of Biscay M. González Ad. Uriarte A. Caballero Azti-Tecnalia / Marine Research."— Presentation transcript:

1 The effect of the wind in the Prestige’s oil slicks movements in the Bay of Biscay M. González Ad. Uriarte A. Caballero Azti-Tecnalia / Marine Research Division Herrera Kaia Portualdea, z/g, E-20110 Pasaia, Spain

2 © AZTI-Tecnalia Introduction Analysis of the work done during the Prestige’s crisis to recover the oil slicks. Reanalysis of the trajectory followed by drifting tracked buoys placed during the Prestige’s crisis on the oil slicks. Objectives To compare two different models and to evaluate how do they fit to the reality. The contribution of the sea surface wind to the sea surface currents. The wind data period that optimizes the estimations done by both models. Prediction of the water and oil movement, for the optimization in the future, of the recovery of oil and other residues at sea by the vessels.

3 © AZTI-Tecnalia Recovery of the oil at sea Discharge of the Prestige’s oil at sea Operational Oceanography The Prestige’s Crisis

4 © AZTI-Tecnalia Recovery of the oil at sea Discharge of the Prestige’s oil at sea Operational Oceanography The Prestige’s Crisis

5 © AZTI-Tecnalia

6 Recovery of the oil at sea Discharge of the Prestige’s oil at sea Operational Oceanography Monitoring Data acquisitions and transmission Prediction Data analysis and modelling Data dissemination Information distribution The Prestige’s Crisis

7 © AZTI-Tecnalia Recovery of the oil at sea Discharge of the Prestige’s oil at sea Operational Oceanography Monitoring Data acquisitions and transmission The Prestige’s Crisis

8 © AZTI-Tecnalia Recovery of the oil at sea Discharge of the Prestige’s oil at sea Operational Oceanography Prediction Data analysis and modelling The Prestige’s Crisis

9 © AZTI-Tecnalia Recovery of the oil at sea Discharge of the Prestige’s oil at sea Operational Oceanography www.azti.es Data dissemination Information’s distribution The Prestige’s Crisis

10 © AZTI-Tecnalia Recovery of the oil at sea Discharge of the Prestige’s oil at sea BASQUE TOTAL GALICIAFRANCE COUNTRYCANTABRIAASTURIAStonnes Tonnes recovered at land68,18726,0503,21617,1325,313119,898 Tonnes recovered by european vessels15,5001,325 15047017,445 Tonnes recovered by the fishing fleet7,8251,38321,0955,36274136,406 Oil recovered at sea/Oil recovered at land0.340.106.560.320.230.45 TOTAL OIL RECOVERED91,51228,75824,31122,6446,524173,749 Operational Oceanography The Prestige’s Crisis

11 © AZTI-Tecnalia An estimation of the ocean surface currents from ocean surface winds by means of two models: 2. The Ekman model 1. A linear model WindCurrent u c = b(  x cos  +  y sen  ) v c = b(-  x sen  +  y cos  )  =1.8*10 -3 |U w | 2  º º Wind u v V0V0 Current U c α U w u c = a*u w v c = a*v w a? b,  ? The Methodology

12 © AZTI-Tecnalia Time-averaged Wind data Parameteters (a, b,  ) and wind time-averages that maximizes the correlation between the measured currents and the estimated ones (1) (2) Estimation of the trajectory by the linear model Estimation of the trajectory by the Ekman model Real trajectory followed by the buoys The Methodology

13 © AZTI-Tecnalia The Data Surface currents data

14 © AZTI-Tecnalia 1.Gascogne Buoy (62001) Cooperation between UKMO and Météo-France http://www.meteo.shom.fr/ancrees/gascogne.htm http://www.meteo.shom.fr/ancrees/gascogne.htm Marine Automatic Weather Station (MAWS) Network http://www.metoffice.gov.uk/research/ocean/goos/maws_pic.htm Wind direction and velocity, atmospheric pressure, air temperature,.. Temporal resolution: 1 hour. Ocean Surface wind data 2. Oceano-meteorological station in the Pasaia Harbour AZTI-Tecnalia Foundation and the Basque Government's Department of Transport and Civil Engineering http://www.azti.es/estaciones/pasaia/azt_act_pres.asp Wind direction and velocity, ocean currents direction and velocity, air temperature,… Temporal resolution: 10 minutes.

15 © AZTI-Tecnalia Ocean Surface Wind Data

16 © AZTI-Tecnalia Results

17 © AZTI-Tecnalia Correlations between real and estimated currents with different wind time-averages B16651: 4.5 days forecast

18 © AZTI-Tecnalia Correlations between real and estimated currents with different wind time-averages B16735: 11.4 days forecast

19 © AZTI-Tecnalia Correlations between real and estimated currents with different wind time-averages B16735: 59.3 days forecast

20 © AZTI-Tecnalia Real trajectories – Estimated trajectories B16651: 4.5 days forecast

21 © AZTI-Tecnalia Real trajectories – Estimated trajectories B16735: 59.3 days forecast

22 © AZTI-Tecnalia The Ekman model fits better to the real trajectory than the linear model. In general, the 12 hours average of wind data is the most appropriate, because it increases the correlation between the estimated and the real currents. It is possible to estimate the surface currents and therefore the trajectory followed by drifting oil slicks, from ocean surface wind data. Conclusions

23 © AZTI-Tecnalia To use wind data from a meteorological model. To look for meteorological stations closer to the buoys trajectories. To increase the wind data time-average from 12 to 24 hours. Future Improvements

24 THANK YOU FOR YOUR ATTENTION

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