DATA COLLECTION PLATFORMS OFF THE COAST OF ARGENTINA DBCP 21 Scientific and Technical Workshop 17-18 October 2005, Buenos Aires, Argentina ARMADA ARGENTINA.

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DATA COLLECTION PLATFORMS OFF THE COAST OF ARGENTINA DBCP 21 Scientific and Technical Workshop October 2005, Buenos Aires, Argentina ARMADA ARGENTINA Servicio de Hidrografía Naval Troisi A., Vetere F., Firpo A

“PREVENCION DE LA CONTAMINACION COSTERA Y GESTION DE LA BIODIVERSIDAD MARINA” GEF AR-UNDP ARG/02/018

MAIN GOALS … Implementing a mathematical model to predict the oceanic and coastal marine currents Collecting in situ information by means of a coastal and an oceanic environmental buoy Collecting in situ information from oceanographic research vessels Obtaining information by means of remote sensing Elaboration of an environmental sensibility atlas Standardization of information through intercallibration of laboratories PRIMARY OBJECTIVE … “contribute to the preservation of the biological diversity and prevent and mitigate marine-coastal pollution, improving the quality of life of the inhabitants of the region”

AREA OF INTEREST

COASTAL BUOY Wind speed and direction (Young JR MA) Air pressure (Vaisala PTB 220 Class A) Air temperature (Omega O ) Humidity (Vaisala HMP 45A) Current meter (Aanderaa DCS 3900R) Conductivity/Temperature, surface & 5m (Seabird SBE 37-SI Microcat CT) Flurometer (Chelsea HB176) Dissolved oxygen (Royce 96A) Electronic compass Wind speed and direction (Young JR MA) Air pressure (Vaisala PTB 220 Class A) Air temperature (Omega O ) Humidity (Vaisala HMP 45A) Current meter with temperature (Nortek, continental 190kHz-200m) Conductivity/Temperature, 6 levels (Seabird SBE 37-SI Microcat CT) Flurometer (Chelsea HB176) Dissolved oxygen (Royce 96A) Electronic compass OCEANIC BUOY Fugro-Oceanor “Wavescan”

GENI 2000 data logger, MPU and INMARSAT C Oceanic buoy Acoustic Doppler Profiler Coastal buoy C & T sensors

Two weeks later...

CONCLUSIONS... COASTAL AREAS INFLUENCED BY OCEAN AND SEDIMENTS DYNAMICS FEW “LONG” TIME SERIES AVAILABLE GREAT SPATIAL-TEMPORAL VARIATIONS COLLECTED DATA COMPATIBLE WITH KNOWLEDGE OPERATIONAL ISSUES

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