Stochastic modeling of surface scalar-flux fluctuations in turbulent channel flow using one-dimensional turbulence

Accurate and economical modeling of near-surface transport processes is a standing challenge for various engineering atmospheric boundary-layer flows. In this paper, we address by utilizing an stochastic one-dimensional turbulence (ODT) model. ODT aims to resolve all relevant scales turbulent flow domain. Here applied channel as stand-alone tool. The domain wall-normal line that aligned with the mean shear. free model parameters are calibrated once velocity boundary layer at fixed Reynolds number. After that, use investigate Schmidt (Sc), (Re), Peclet (Pe) number dependence scalar structure, fluctuations, transient surface fluxes, mixing, transfer wall. We demonstrate able across it captures state-space statistics scalar-flux fluctuations. addition, show predicted transfer, which quantified Sherwood (Sh) number, self-consistently reproduces established scaling regimes asymptotic relations respect Sc,Re, Pe. For high Sc Re, results fall between Dittus–Boelter, Sh?Re4/5Sc2/5, Colburn, Sh?Re4/5Sc1/3, scalings but they closer former. finite prediction relation proposed Schwertfirm Manhart (Int. J. Heat Fluid Flow, 28, 1204–1214, 2007) based on theory yields locally steeper effective than any relations. extrapolates small Sc?Re?-1 (diffusive limit) functional form has not been previously described.