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compromised coastal ecosystems and the   than 3,000 tons of oil residues collected
                  economy of the affected regions.         along approximately 2,900 km of coastline
                     The ability to monitor and forecast the   (SOARES et al., 2022), smaller oil spills oc-
                  movement of vessels and oil slicks at sea has   cur with great frequency. During the peri-
                  a direct impact on the ability to deter oil spills   od from December 31, 2021, to February
                  at sea by ships and oil exploration platforms   10, 2022, IBAMA identified the occurrence
                  in the Amazônia Azul (Blue Amazon). To   of three contributions of oleaginous resi-
                  strengthen this capacity, the National Fund   dues on the beaches of Paraíba and Ceará
                  for Scientific and Technological Development   and an orphan oil slick at sea, which did
                  (FNDCT) approved funding in 2022 for the   not reach the Coast. In order to exemplify
                  establishment of a System for the Detection,   the future operation of SisMOM, the case of
                  Forecast and Monitoring of Oil Spills at Sea   the appearance of oil slicks on the coast of
                  (SisMOM). The system will have the partici-  Paraíba between 12/31/2021 and 1/1/2022
                  pation of INPE, IBAMA, UFBA, UFPR, UFSB,   was analyzed. For this exercise, an experi-
 Figure 2. On the left, current map (in   Brazilian coast affected by the oil spill   UFES, UFMA, UFRJ, IOUSP, IEAv, VISIONA,   mental SisMOM situation room was set
 knots) of the HYCOM model provided   marked in red and the distribution of   UFPA, SIMEPAR, EPAGRI, UnB, UFRGS, UFPE,   up, with the participation of scientists and
 by the Navy Hydrography Center   ocean currents in this region: Central   UFPI, UFAL, PUC-Rio; in addition to the Navy’s   technicians from INPE, IBAMA, UFBA, UFPR,
 (CHM). The red square indicates the   branch of the South  Equatorial
 area where the oil leak could occur.   Current (CCSE), North Brazil Current   DGDNTM, CPTMRJ, CASNAV, CHM, COM-  UFSB, COMPAAz, CHM and IEAPM.
 On  the right, areas of  the northeast   (CNB) and Brazil Current (CB).   PAAz, DGePM, IEAPM and IPqM.  Figure 3 shows the dates and locations
                     SisMOM is responsible for carrying out   of oil residue observations, the reverse
 Source: Courtesy Brazilian Navy Hydrography Center, 2019
                  a feasibility study on the development of a   defeat of Lagrangian tracers launched at
                  constellation of microsatellites, controlled   touchdown locations and dates, and the
                  by Brazil, capable of acquiring real-time op-  positions of oil tankers or tugs whose de-
 coordinated by the Brazilian Navy, ANP and   continental shelf in a North Brazil Current   tical and synthetic aperture radar images of   feats crossed the defeat of Lagrangian
 IBAMA, with the participation of dozens of   (NBC) and finally in a southwesterly direc-  specific areas of the ocean, along major ship   tracers, indicated by the colors of both. De-
 researchers and institutions, investigations   tion  through  the  Brazil  Current  (BC)  and   routs or oil exploration platform positions.  monstratively, OSCAR model integrations
 were carried out to determine the region of   inland shelf currents, reaching the Brazil-  For the identification of false positives of   were performed for a hypothetical spill at
 origin and the cause of this serious environ-  ian coast in different areas along the entire   oil slicks in satellite images, observed and   the position of the ship furthest from shore
 mental accident. It was possible to identify   coastline, as illustrated in Figure 2.  predicted meteoceanographic fields, ob-  (shown by the westernmost light green dot
 that the spill occurred between July 24th   The crossing of maritime traffic data   tained from the composition of satellite data   in the central panel of Figure 3), the results
 and 29th, 2019, in an area of about 750   and intelligence allowed the identification   and forecasts of coupled ocean-atmosphere   of which are shown on the right in Figure
 km from the coast of Paraíba (PB) and 390   of 3 tankers that traveled in the region   models and access to data from the Auto-  3. The  ocean  currents  used both  for  the
 km from the external limits of the Brazil-  determined by the meteoceanograph-  matic Identification System – Vessel AIS. The   calculation of the reverse trajectories with
 ian Exclusive Economic Zone, that is, in the   ic modeling conducted at CHM, during   offshore oil slick drift detection and predic-  the plot model and for the oil dispersion

 high seas  (FERREIRA, 2022). Approximately   the aforementioned period, which could   tion system is integrated through the use of   were obtained  from  the European  oper-
 3,000 tons of oil were released on the high   potentially have caused the oil spill (FER-  artificial intelligence tools, for the detection   ating system CMEMS/Mercator. The wind
 seas, transported westward by the Central   REIRA, 2022). Once again, operational   of anomalous ship displacement behaviors   fields used were from ERA5. In time, the
 branch of the South Equatorial Current   oceanography has demonstrated its rele-  and identification of oil slicks at sea.  experiment was later redone using CHM/
 (CSEC) and subsequently distributed at the   vant contribution, now in actions to mit-  While the 2019 offshore oil spill event is   REMO HYCOM current fields and CHM
 current bifurcation point near the Brazilian   igate the environmental damage that so   unique in magnitude and extent, with more   COSMOS model winds.


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