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A new automated method capable of accurately identifying bursting periods insingle-point turbulent velocity field records is presented. Manual selection ofthe method sensitivity (tau*) and threshold (eT) are necessary for effectivediscrimination between burst periods and the background turbulent flowfluctuations (burst-free periods). The flow characteristic used foridentification is the normalized 'instantaneous' TKE dissipation rate levels,calculated using sliding window averaging. Use of the record root mean squareand average values for normalization eliminates the need for definition of aphysics-based flow-specific threshold. Instead, the suitable sensitivity rangeand the threshold parameters are selected based on preliminary examination ofthe velocity records. This, potentially, makes the method applicable for useacross various flow fields, especially as it does not require resolving theburst-generation mechanism. The method performance is examined using a fieldobtained dataset of buoyancy driven turbulent boundary layer flow. Here, theselection of a two-fold (eT=2) increase is used and the sensitivity of themethod is examined. Spectral shapes of non-bursting periods show distinguishedsimilarity to those of the Kolmogorov theory, while the bursting periodspectral shapes vary significantly. Low resolution records of temperaturefluctuations were observed to exhibit a significant decrease in temperature(scalar) dissipation rate during bursting periods. Based on this observationand additional processing, a statistical examination of temperature (scalar)dissipation rate is presented along with a normalization procedure. Futureexamination of additional scalar variations, i.e. particulate matter and/orgaseous pollutant concentrations, in connection with turbulent bursting periodscan assist in further understanding of bursting generation and scalar transferprocesses.

Automated identification and characterization method of turbulent bursting from single-point records of the velocity field