339 resultados para Delmarva bays


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Organic carbon in bays of the White Sea was studied for the first time in 1987. Bays of various types in the Kandalaksha Gulf and the Onega Gulf were investigated. Concentration of C_org ranged from 3.5 to 9 mg/l. The highest weighted-mean concentration of C_org occurred in shallow bays of the Onega Gulf (Suma Bay - 6.17 mg/l, Kolezhma Bay - 5.25 mg/1); slightly lower levels occurred in the Soroka Bay (4.85 mg/l) and Kem' Bay (4.78 mg/l). The lowest concentrations were in deep bays of the Kandalaksha Gulf (Chupa Bay - 4.35 mg/l, Velikaya Salma Bay - 4.10 mg/l). As a rule C_org concentration decreases with depth in deep-water bays (but increases slightly in the thermocline layer). The key factor governing organic matter concentration in the bays of the Onega Gulf with river runoff is allochthonous terrigenous organic matter, as indicated by negative correlation of C_org with salinity (R=-0.83+/-0.07, p=0.96) and nonsignificant correlation with primary production.

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Analysis of contribution of micronodules of sand and silt size to chemical composition of various types of pelagic sediments, as well as use of published data indicate that in some types of bottom sediments micronodules are the principal carriers of manganese and nickel. These elements appear to constitute smaller fractions of colloidal iron and manganese hydroxides, as well as terrigenous material.

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Analysis of contribution of micronodules of sand and silt size to chemical composition of various types of pelagic sediments, as well as use of published data indicate that in some types of bottom sediments micronodules are the principal carriers of manganese and nickel. These elements appear to constitute smaller fractions of colloidal iron and manganese hydroxides, as well as terrigenous material.

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A nonlinear implicit finite element model for the solution of two-dimensional (2-D) shallow water equations, based on a Galerkin formulation of the 2-D estuaries hydrodynamic equations, has been developed. Spatial discretization has been achieved by the use of isoparametric, Lagrangian elements. To obtain the different element matrices, Simpson numerical integration has been applied. For time integration of the model, several schemes in finite differences have been used: the Cranck-Nicholson iterative method supplies a superior accuracy and allows us to work with the greatest time step Δt; however, central differences time integration produces a greater velocity of calculation. The model has been tested with different examples to check its accuracy and advantages in relation to computation and handling of matrices. Finally, an application to the Bay of Santander is also presented.