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After explaining the mechanism producing double diffusion, its representation analytically is developed and applied to linear stability analysis to determine conditions for double diffusion to occur. Laboratory observations of salt fingers are summarized, as well as the existence of thermohaline staircases produced by fingers in the thermocline. A similar development for the diffusive regime includes layering in Lake Kivu and in polar regions. Lastly, the role of double diffusion in thermohaline intrusions is explored.
This chapter explores how mixing is measured, focusing on what can be measured and how accurately. It begins with probes measuring dissipation scales, i.e. thermistors and airfoils, but also includes other devices not used routinely, such as pitot tubes. Finescale sensors are also examined, with an emphasis on absolute accuracy and salinity spiking. Then the vehicles carrying the probes are described, i.e. profilers, tows, AUVs, and submersibles. Moorings and fixed platforms are also briefly examined. Finally, remote sensing, principally using backscatter from high-frequency acoustics, is reviewed, along with tracer releases for measuring net diffusivity.
Dimensional analysis for stratified turbulence defines the variables describing turbulence in the ocean, which are then used with the Reynolds decomposition to develop equations of motion and define key parameters, such as turbulent kinetic energy and the viscous dissipation rate. These are used in developing the Kolmogorov energy cascade and the accompanying cascade of scalar variance. Considering turbulent evolution and decay leads to consideration of strongly stratified turbulence and pancake eddies. Turbulent intermittence and statistics include expressions for estimating confidence limits. The turbulent equations are then used to develop expressions for estimating turbulent eddy coefficients from what can be measured. The chapter ends with a consideration of mixing efficiency.
The last chapter combines themes from earlier chapters to summarize what has been learned about mixing in the stratified ocean. The nature of finestructure is explored first, as it contains signatures of the processes producing the mixing, as well as modulating the development of turbulent patches. After exploring how patches are identified, their characteristics are discussed. Evidence for the other major mixing process, double diffusion, is presented, principally as signatures in horizontal tows. The chapter concludes with summaries of mixing in three important regions differing from the open ocean pycnocline: the Southern Ocean, the Arctic, and ocean ridges.
Beginning with the equation of state of seawater, the chapter proceeds to apply the first and second laws of thermodynamics to seawater. These, in turn, lead to the equilibrium and well-mixed states that provide references for the mixed state of the ocean. Molecular flux laws also follow from the thermodynamic discussion, and then the turbulent buoyancy flux and its effect on potential energy is considered. After exploring TS diagrams, expressions for water mass conversion are discussed, including thermobaricity, cabbeling, and dianeutral velocity.
After explaining the mechanism producing double diffusion, its representation analytically is developed and applied to linear stability analysis to determine conditions for double diffusion to occur. Laboratory observations of salt fingers are summarized.
The objective of this paper is to demonstrate that the gradient-constrained discounted Steiner point algorithm (GCDSPA) described in an earlier paper by the authors is applicable to a class of real mine planning problems, by using the algorithm to design a part of the underground access in the Rubicon gold mine near Kalgoorlie in Western Australia. The algorithm is used to design a decline connecting two ore bodies so as to maximize the net present value (NPV) associated with the connector. The connector is to break out from the access infrastructure of one ore body and extend to the other ore body. There is a junction on the connector where it splits in two near the second ore body. The GCDSPA is used to obtain the optimal location of the junction and the corresponding NPV. The result demonstrates that the GCDSPA can be used to solve certain problems in mine planning for which currently available methods cannot provide optimal solutions.
We propose two linearly implicit energy-preserving schemes for the complex modified Korteweg–de Vries equation, based on the invariant energy quadratization method. First, a new variable is introduced and a new Hamiltonian system is constructed for this equation. Then the Fourier pseudospectral method is used for the space discretization and the Crank–Nicolson leap-frog schemes for the time discretization. The proposed schemes are linearly implicit, which is only needed to solve a linear system at each time step. The fully discrete schemes can be shown to conserve both mass and energy in the discrete setting. Some numerical examples are also presented to validate the effectiveness of the proposed schemes.
Image registration is the process of finding an alignment between two or more images so that their appearances match. It has been widely studied and applied to several fields, including medical imaging and biology, where it is related to morphometrics. In this paper, we present a construction of conformal diffeomorphisms which is based on constrained optimization. We consider a set of different penalty terms that aim to enforce conformality, based on discretizations of the Cauchy–Riemann equations and geometric principles, and demonstrate them experimentally on a variety of images.
We propose a variation of the pointwise residual method for solving primal and dual ill-posed linear programming with approximate data, sensitive to small perturbations. The method leads to an auxiliary problem, which is also a linear programming problem. Theorems of existence and convergence of approximate solutions are established and optimal estimates of approximation of initial problem solutions are achieved.
Motivated by the manufacture of carbon fibre components, this paper considers the smooth draping of loosely woven fabric over rigid obstacles, both smooth and nonsmooth. The draped fabric is modelled as the continuum limit of a Chebyshev net of two families of short rigid rods that are freely pivoted at their joints. This approach results in a system of nonlinear hyperbolic partial differential equations whose characteristics are the fibres in the fabric. The analysis of this system gives useful information about the drapability of obstacles of many shapes and also poses interesting theoretical questions concerning well-posedness, smoothness and computability of the solutions.