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European Commission project EUROCAT : European Catchments Changes and their Impact on the Coast

Jędrasik J., Kowalewski M., Ołdakowski B., University of Gdansk, Institute of Oceanography Impact of the Vistula River waters on the G ulf of G dańsk during 1994-2002. European Commission project EUROCAT : European Catchments Changes and their Impact on the Coast Case Study VISCAT :

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European Commission project EUROCAT : European Catchments Changes and their Impact on the Coast

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  1. Jędrasik J., Kowalewski M., Ołdakowski B.,University of Gdansk, Institute ofOceanographyImpact of the Vistula River waters on the Gulf of Gdańsk during 1994-2002 European Commission project EUROCAT: European Catchments Changes and their Impact on the Coast Case StudyVISCAT: The Vistula River Catchment and the Baltic Sea Coastal Zone

  2. Plan: 1. The ecohydrodynamic model of the Baltic Sea General discription • ProDeMo model • algorithm + modifications • Calibration, verification, validation • quality evaluation of the model • chosen results 2. Impact of the Vistula River on the Gulf of Gdańsk - examples 3. Conclusions

  3. The ecohydrodynamic model of the Baltic Sea

  4. ProDeMo model NUTRIENTS N-NO3 N-NH4 P-PO4 DETRITUS Si-SiO4 CDETR NDETR ZOOPLANKTON Zooplankton C:N:P PDETR SiDETR Atmosphere 8 17 16 1 nutrient uptake 2 grazing 3 phytoplank. resp. 4 phytoplank. decay 5 sedimentation 6 nutr. release f. sed 7atmospheric dep. 8 denitrification 9 mineralization 10 zooplankt. resp. 11 sed.of P ads. on particles, 12 detritus sed. 13 zooplankt. decay 14 nitrogen fixation 15 nutrient deposition processes influen. dissolved oxygen 16 reaeration, 17 flux to atmo. due to over saturation 18 zooplankt. resp. 19 phytoplank. resp. 20 assimilation 21 mineralization 22 nitrification 23 denitrification 7 23 DISSOLVED OXYGEN PHYTOPLANKTON 14 Blue-green algae 22 20 Springdiatoms 19 1 Autumndiatoms 3 Dinoflagellate Water 21 4 Green algae 2 9 10 6 13 18 11 12 5 Active layer NSED PSED SiSED 15 Inactive layer 15 15 Sediment

  5. Calibration based at stations P1, P110, ZN2 for 1994- 2002 period Verification as asessment of behavior of the model Validation test how the model results fit the observation data

  6. Monitoring stations at the southern Baltic The hydrodynamic model is based on the POM (Princeton Ocean Model). The numerical application of the model has been embedded on two nested grids: 1 NM for the Gulf of Gdańsk in 5 NM for the BalticSea. A “sigma” transformation for 18 layers are used.

  7. Validation of the model – station P1 z = 0m

  8. Validation of the model – station P1

  9. Observed and modelled vertical distribution of the variable states during winter and summer seasons in 2001

  10. Observed and modelled vertical distribution of the variable states during winter and summer seasons in 2001

  11. Observed and modelled vertical distribution of the variable statesduring winter and summer seasons in 2001 The vertical distributions of the modelled parameters follows the observations, however better agreements have been achieved in the upper layer than in the layer below the halocline (60-70 m).

  12. Quality of the ProDeMo model An excellent agreement for salinity, dissolved oxygen and temperature. Other compared parameters lie in the good range except nitrate nitrogen as acceptable and ammonium nitrogen low satisfactory.

  13. Mean concentrations of the modelled parameters for 15thJune1999

  14. Variation in biomass and structure of phytoplanktonmodelled for 15th June1999

  15. Distribution of phytoplankton at Gdansk Deep station P1 in period 1994 - 2002 The vegetation seasons start with the high blooms of diatoms during the spring. During the summer dinoflagellates and green algae dominates. The blue-green algae are able to assimilate the nitrogen from the atmosphere. Their appearance varies from year to year since they prefer higher water temperature and solar radiation. Autumn diatoms starts to grow in September and they dominate trough whole autumn.

  16. Annual input of the Vistula and other rivers into the Gulf of Gdańsk Annual input of the Vistula River into the Gulf of Gdańsk Vistula the second largest river of the Baltic Sea introduces into the Gulf of Gdańsk 85% of discharged fresh waters 90% of nitrogen compounds (it takes part 15% of N in the Baltic) 23% is retained at the Gulf 92% of phosphorus compounds (it takes part 20% of P in the Baltic) 34% is retained at the Gulf

  17. Distributions of N-NO3 and P-PO4 in crossection through the Gulf of Gdańskfrom mouth of the Vistula River to the station P1at 4th March 1995

  18. Spreading of the Vistula watersat the Gulf of Gdansk during 11 April – 10 May 2000 The hydrodynamics influences on the nutrient and phytoplankton distributions. During the spring season influence of the Vistula River waters on the nutrient concentrations are even at the open waters of the Gulf of Gdańsk. 11 April – 10 May 2000, the main pathway of the Vistula River water - the North-West direction.

  19. Sequence of surface distribution of phytoplankton biomass, nitrates and phosphates at the Gulf of Gdansk between February 22 – March 27 1995

  20. ProDeMo model calibrated, verified and validated using monitoringdatafor 9 years period 1994-2002, resulted in the model obtained evidences (high statistical evaluation) which permit to consider it as reliable tool for studding the coastal processes in the Gulf of Gdańsk. The model has properly described the seasonal distribution of nutrients, temperature and dissolved oxygen, however near the bottom it was overestimated. Other compared parameters lie in the good range of quality of model except nitrate nitrogen as acceptable and ammonium nitrogen low satisfactory. The biomass distributions of the five phytoplankton groups as well as time and places of their blooms appeared reliable. Conclusions Impact of the Vistula River on the Gulf of Gdańsk From among various effects of the Vistula River discharge on the environmental state of the coastal waters are: pathways of the Vistula River waters in the Gulf temporal and spatial dynamics of nutrients blooms and seasonal variations of phytoplankton biomass

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