Abstract
A new multi-parameter optimal inversion method for jet ratio and jet angle is established by coupling data-driven model theory with variable density anisotropic turbulent buoyant jet model in this paper. In this method, firstly the multi-parameter matching cases of jet ratio and jet angle are computed by the jet model, and the solution space of internal observation site in the computation waters is constructed by numerical simulation results. Secondly, the nonlinear relationship between state variables (dilution degree) and control variables (model multi-parameter) is established by data-driven model theory. Finally the optimal solution is obtained by inputting the needed dilution degree to the relationship. The numerical results show that multi-parameter optimal coupled inversion method is efficient for the optimal jet parameters and has advantages of jet water mixing with environment water.
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