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Prof. Goffredo La Loggia

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1 Prof. Goffredo La Loggia
"MEDITERRANEAN MARITIME POLLUTION: THE ROLE OF REMOTE SENSING TO MONITOR AND MITIGATE" Prof. Goffredo La Loggia Head of the Department of Hydraulic Engineering and Environmental Applications University of Palermo - MEDILAB - Remote sensing and Geographical Information System Lab Authors: Goffredo La Loggia, Fulvio Capodici, Giuseppe Ciraolo, Antonino Maltese Palermo June 14, 2010 University of Palermo

2 The need of monitoring and mitigate maritime pollution
Human activities contaminate both coastal zone and open sea: pollutants; ecosystems; recovery time. Pollution monitoring and mitigation by integrating: - remote sensing, - hydrodynamic; bio-optical modelling. Coastal water pollution is strictly related to land activities: ≈ 60% of world’s population lives within 60 km from the coastline impacting water quality. Pesticides and fertilizers over-application: - coastal zone algae growth; - natural food chain alteration; coastal waters oxygen deprivation. Offshore pollution is related to maritime oil transport: a quarter of the global maritime traffic; causing ≈7% of the world oil accidents during the last 25 years; biological impacts firstly on open sea than on coastal zone habitats.

3 Water Bodies pollution monitoring and mitigation
Coast, lagoon and lakes Offshore Water quality Toxic blooms Submerged vegetation distribution and dynamic Hydrodynamic and solute transport models Water quality Oil spill The Planktothrix rubescens bloom (Oscillatoria rubescens) in some Sicilian lakes. - The contamination of reservoirs used for civil and agricultural supply highlights human healthy risks - Spectral reflectance R(l) [-] of a typical Sicilian lake water (dashed line) and that of a water characterized by a Planktothrix rubescens algal bloom (continuous line).

4 Water Bodies pollution monitoring and mitigation
Coast, lagoon and lakes Offshore Water quality Toxic blooms Submerged vegetation distribution and dynamic Hydrodynamic and solute transport models Water quality Surface Clorophyll (Chl-a); Total Sunspended Sediments (TSS) Water Nephelometric Turbidity (NTU) Oil spill CALIBRATION SITE, CALIBRATION PARAMETERS AND NTU (WATER TURBIDITY) MAP 2D model (finite difference) The Castellammare gulf The Augusta gulf The Gela gulf NTU July 2008

5 Water Bodies pollution monitoring and mitigation
Coast, lagoon and lakes Offshore Water quality Toxic blooms Submerged vegetation distribution and dynamic Hydrodynamic and solute transport models Water quality Oil spill The note deepens on the Oil spill issue reporting the MAPRES research project Marine pollution monitoring and detection by aerial surveillance and satellite images Recent accidents in the Mediterranean sea

6 Effects of large spills\
Oil spill pollution Effects of large spills\ Vegetation Animals Economic activities nes

7 Principal oil spill events in Europe
1.Atlantic Empress 2.ABT Summer 3.Castillo de Bellver 4.Amoco Cadiz 5.Haven 6.Odyssey 7.Torrey Canyon 8.Urquiola 9.Hawaiian Patriot 10.Independenta 11.Jakob Maersk 12.Braer 13.Khark 5 14.Aegean Sea 15.Sea Empress 16.Katina P. 17.Assmi 18.Metula 19.Wafra 20.Exxon Valdez DATA LOCALITA' NAVE SVERSAMENTI (t) Marzo 1967 Gran Bretagna  Torrey Canion Gennaio 1975 Portogallo Jacob Maersk 84.000 Maggio 1976 Spagna Urquiola Marzo 1978 Francia Amoco Cadiz Dicembre 1978 Andros Patria 47.000 Aprile 1979 Gino 42.000 Novembre1979 Bosforo Independenta 95.000 Febbraio 1980 Grecia Irenes Aprile 1991 Italia Haven Dicembre 1992 Aegeum Sea 80.000 Gennaio 1993 Gran Bretagna Braer 85.000 Febbraio 1996 Sea Empress 60.000 Dicembre 1999 Erika 31.000 Dicembre 2002 Prestige 77.000 nes Principal oil spill events in Europe

8 Oil pollutions types SYSTEMATIC OPERATIVE ACCIDENTAL
Prestigie SYSTEMATIC OPERATIVE ACCIDENTAL Industrial discharges Tank washing Bilge waters discharges Ballast water discharges Oil tanker accident Pipeline break Oil platform accident Oil terminal accident nes

9 Oil transportation nes

10 Spain 13th July 2007 Ship “Don Pedro” had been sailing from Ibiza to the eastern port city of Valencia when it hit rocks and sank Wednesday with 150 tons of fuel oil and 50 tons of gasoline on board nes

11 Spain 13th July 2007 Three Ibiza beaches:
Talamanca, Ses Figueretes and Platja de Bossa were closed while crews cleaned up the spill nes

12 Il caso della “Prestige” (Novembre 2002)
Direzione del vento Immagine ASAR (radar ad apertura sintetica) ENVISAT dell’ESA

13 Oil slicks individuate tramite SAR
Scarichi illeciti: numero di spills individuati nel 1999: per un totale di tn UNA APPLICAZIONE NEL CANALE DI SICILIA E’ STATA REALIZZATA NELL’AMBITO DEL PROGETTO MAPRES

14 MAPRES rationale and general description

15 MAPRES rationale and general description
The project has been implemented in the following Countries: Italy, Republic of Malta, United Kingdom The starting date was: January 2007 The ending date was: December 2007 Duration: 12 months

16 MAPRES actors National Interuniversity Consortium for Marine Sciences - CoNISMa: with two local research units: - L.R.U. 1 Department of Hydraulic Engineering and Environmental Applications– University of Palermo - D.I.I.A.A. (ITA). - L.R.U. 2 Department for the study of the territory and its resources - University of Genova - DIP.TE.RIS. (ITA). Partnership: Lattanzio e Associati (LEA) – Italy University of Malta (UOM) - International Ocean Institute –Malta Operational Centre (MT) The University of Edinburgh (UEDIN) - School of GeoSciences, Grant Institute (UK) End users: - Italian Coast Guard; - Genova town district.

17 MAPRES rationale and general description
Remotely sensed data from: Active and Passive sensors OIL SPILL DETECTION OIL SPILL propagation forecasting Hydrodynamic Numerical Simulations Impact on coastal environment and best practices for mitigation and damage recovery OIL SPILL mitigations procedures Using guidelines coming from preceding tasks MAPRES exercise Expected result: Operating Manual

18 Example of Airborne Based Multi-Sensors
ACTIVE SENSORS Radar : The sensor mainly used is SLAR (Side Looking Airborne Radar). Works on the X-band (f=9375 MHz, l=3.2 cm) Laser fluorosensors (for oil tickness), : Based on the fact that Fluorescence is a strong indicator of the presence of oil. Works on the UV (300 to 355 nm) , VIS region PASSIVE SENSORS IR/UV system ,Thermal IR camera, VIS camera… Radar IR UV nes

19 OIL SPILL PROPAGATION FORECASTING
CONISMA L.R.U. 1 “Dipartimento di Ingegneria Idraulica ed Applicazioni Ambientali (D.I.I.A.A.)” - University of Palermo (ITA) Scientific Coordinator: Prof. Enrico Napoli University of Malta (UOM) - International Ocean Institute –Malta Operational Centre (MT) Scientific Coordinator: Dr. Aldo Drago

20 OIL SPILL PROPAGATION FORECASTING
THE NEED Use an operational system for predicting the fate and transportation of an oil spill in the Malta Channel Develop coastal models to detail the areas around the Maltese Islands and Pozzallo In case of emergency, oil spill models help to determine ... where will the oil slick move to when will it get there what will be its state when it arrives

21 OIL SPILL PROPAGATION FORECASTING
Ocean satellite & in situ observations Oil spill characteristcs and conditions Data Assimilation Operational ocean model Operational oil spill model Regional/shelf/ coastal models nesting and downscaling Elaboration of fields Operational atmospheric forecasts Response MEDSLIK model The models solves the free-surface Reynolds and continuity equations in 3D

22 OIL SPILL PROPAGATION FORECASTING NESTING
1st level: coarse grid, the Ocean General Circulation Model, operating on the whole Mediterranean Sea (resolution 1/8 degrees) nes

23 OIL SPILL PROPAGATION FORECASTING NESTING
2nd level: the regional scale Circulation Model, operating on the Sicilian channel (resolution 1/32 degrees) nes

24 OIL SPILL PROPAGATION FORECASTING NESTING
3rd level: the Rosario Shelf Model, operating on the Maltese channel (resolution 1/64 degrees) nes

25 OIL SPILL PROPAGATION FORECASTING NESTING
A novel level: the Coastal Model, operating with a 1/512 degrees resolution Malta Coastal Model Pozzallo Coastal Model nes

26 The Malta Coastal Model The total number of cells is 1.926.400
Spatial resolution 1/512° x 1/512° 344 cells: E-W direction 280 cells: N-S direction 19 cells: depth The total number of cells is

27 OIL SPILL PROPAGATION FORECASTING examples
61 hr simulation restarted at 25 hrs using Malta Shelf Model and the higher resolution Malta Coastal Model 61 hr simulation using the Malta Shelf Model

28 OIL SPILL PROPAGATION FORECASTING examples
Coastal Oil Distribution No Boom Coastal Oil Distribution With Boom

29 THE VEGA 2007 EXERCISE THE MAPRES EXERCISE
COMANDO GENERALE DEL CORPO DELLE CAPITANERIE DI PORTO Pozzallo and Catania sections THE VEGA 2007 EXERCISE C.V.(CP) Paolo Cafaro e del C.F. (CP) Marco Mancini

30 SIMULATED SPILL: 10 tons od petrol (2 ton of “Rice Hull”)
THE MAPRES EXERCISE DATE : 28 E 29 NOVEMER 2007 PLACE: POZZALLO – PIATTAFORMA VEGA; ACTORS: - Coast Guard ships: CP 316 – CP 2113 - Coast Guard airplanes: ATR42 MP- “Manta 10-02”, Piaggio P166dl3-SEM “Orca 8-01”; Supply vessels: Ecol Roma and Kerob Express. SIMULATED SPILL: 10 tons od petrol (2 ton of “Rice Hull”) In Catania Coast Guard aerial base researchers analyzed the hydrodynamic simulation forecast and compared the results vs the acquired data. The position of the husk rice retrieved by means of remotely sensed data were compared to the simulations of the hydrodynamic forecast model.

31 THE MAPRES EXERCISE ATR42

32 MEDILAB Water Activities
Pozzallo SIMULATION 29th November 2007

33 THE MAPRES EXERCISE

34 Thanks for your attention
"MEDITERRANEAN MARITIME POLLUTION: THE ROLE OF REMOTE SENSING TO MONITOR AND MITIGATE" Prof. Goffredo La Loggia Head of the Department of Hydraulic Engineering and Environmental Applications University of Palermo - MEDILAB - Remote sensing and Geographical Information System Lab Thanks for your attention Authors: Goffredo La Loggia, Fulvio Capodici, Giuseppe Ciraolo, Antonino Maltese Palermo June 14, 2010 University of Palermo


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