Application of a generalized Green’s function approach to optimize modeled tidal and tidal residual currents for assessment of the dispersion area of thermal effluent discharges
T. Tsubono, Teruhisa Okada, Yasuo Niida, Yuya Kino, N. Nakashiki
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引用次数: 0
Abstract
ABSTRACT This paper proposes a generalized Green’s Function Approach (GFA) to calibrate the boundary conditions and parameters of a coastal current model. The GFA uses a pseudoinverse for the calculation of control variables, including the boundary conditions and parameters, and a Green’s function matrix, which is the response matrix of sensitivity experiments to the control variables. The GFA was applied to optimize tidal and tidal residual currents in a coastal region with a model simulating the thermal effluent discharged from a power plant. The GFA could be used robustly, regardless of the number of sensitivity analyses, and provided optimal increments for the control variables using a given threshold for the pseudoinverse. The optimization provided the appropriate sea surface conditions to reproduce tidal and tidal residual currents that were consistent with observations. The optimized model allowed an effective and accurate assessment of the environmental impact of the thermal effluent because tidal and tidal residual currents play an important role in the advection and diffusion of thermal effluent.
期刊介绍:
Coastal Engineering Journal is a peer-reviewed medium for the publication of research achievements and engineering practices in the fields of coastal, harbor and offshore engineering. The CEJ editors welcome original papers and comprehensive reviews on waves and currents, sediment motion and morphodynamics, as well as on structures and facilities. Reports on conceptual developments and predictive methods of environmental processes are also published. Topics also include hard and soft technologies related to coastal zone development, shore protection, and prevention or mitigation of coastal disasters. The journal is intended to cover not only fundamental studies on analytical models, numerical computation and laboratory experiments, but also results of field measurements and case studies of real projects.