The Baltic Sea circulation modelling and assessment of marine pollution

Abstract The problem of mathematical modelling of the large-scale circulation of the Baltic Sea is considered. Marine hydrodynamics equations are written in the spherical coordinate system with a displaced point of the North Pole. The geographical North Pole is shifted to the vicinity of St. Petersburg to increase the spatial resolution of the Gulf of Finland. The free surface, sigma-coordinate primitive equation model under the Boussinesq, continuity, and hydrostatic assumptions is solved numerically. The problem of estimation of the pollution of some ‘protected’ marine sub-area by a passive tracer by means of the introducing an adjoint equation for the sensitivity function is formulated. The sensitivity function specifies the contribution of each basin point to the total pollution of the ‘protected area’.

[1]  R. Tamsalu,et al.  High-resolution modeling of a marine ecosystem using the FRESCO hydroecological model , 2009 .

[2]  Rainer Bleck,et al.  A new approximation of the equation of state for seawater, suitable for numerical ocean models , 1999 .

[3]  Guriĭ Ivanovich Marchuk,et al.  Adjoint Equations and Analysis of Complex Systems , 1995 .

[4]  Gennady K. Korotaev,et al.  Development of Black Sea nowcasting and forecasting system , 2011 .

[5]  Modeling sea dynamics and turbulent zones on high spatial resolution nested grids , 2007 .

[6]  Mathematical model of the World Ocean dynamics with algorithms of variational assimilation of temperature and salinity fields , 2009 .

[7]  A. Blaker,et al.  Influence of Bottom Topography on Integral Constraints in Zonal Flows with Parameterized Potential Vorticity Fluxes , 2013 .

[8]  Numerical model of the Baltic Sea circulation , 2013 .

[9]  V. Shutyaev,et al.  Problems of variational assimilation of observational data for ocean general circulation models and methods for their solution , 2010 .

[10]  William H. Lipscomb,et al.  Scientific description of the sea ice component in the Community Climate System Model , 2004 .

[11]  T. Seifert,et al.  Rossby radii and phase speeds in the Baltic Sea , 1991 .

[12]  D. Alongi Coastal Ecosystem Processes , 1997 .

[13]  Robert Aps,et al.  Bayesian Inference For Predicting PotentialOil Spill Related Ecological Risk , 2009 .

[14]  G. Marchuk,et al.  Numerical simulation of large-scale ocean circulation based on the multicomponent splitting method , 2010 .

[15]  G. Marchuk Splitting and alternating direction methods , 1990 .

[16]  Robert Aps,et al.  Relationship between shoreline substrate type and sensitivity of seafloor habitats at risk to oil pollution , 2012 .

[17]  R. Tamsalu,et al.  Multidisciplinary numerical model of a coastal water ecosystem , 2008 .

[18]  N. Yakovlev Reproduction of the large-scale state of water and sea ice in the Arctic Ocean in 1948–2002: Part I. Numerical model , 2009 .

[19]  G. Marchuk,et al.  Splitting Numerical Technique with Application to the High Resolution Simulation of the Indian Ocean Circulation , 2005 .

[20]  Nancy G. Leveson,et al.  A new accident model for engineering safer systems , 2004 .

[21]  Uang,et al.  The NCEP Climate Forecast System Reanalysis , 2010 .

[22]  E. Hunke,et al.  An Elastic–Viscous–Plastic Model for Sea Ice Dynamics , 1996 .

[23]  Maria Hänninen,et al.  Analysis of the marine traffic safety in the Gulf of Finland , 2009, Reliab. Eng. Syst. Saf..

[24]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[25]  R. Pacanowski,et al.  Parameterization of Vertical Mixing in Numerical Models of Tropical Oceans , 1981 .