fluctuating plume
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2021 ◽  
Vol 11 (8) ◽  
pp. 3310
Author(s):  
Marzio Invernizzi ◽  
Federica Capra ◽  
Roberto Sozzi ◽  
Laura Capelli ◽  
Selena Sironi

For environmental odor nuisance, it is extremely important to identify the instantaneous concentration statistics. In this work, a Fluctuating Plume Model for different statistical moments is proposed. It provides data in terms of mean concentrations, variance, and intensity of concentration. The 90th percentile peak-to-mean factor, R90, was tested here by comparing it with the experimental results (Uttenweiler field experiment), considering different Probability Distribution Functions (PDFs): Gamma and the Modified Weibull. Seventy-two percent of the simulated mean concentration values fell within a factor 2 compared to the experimental ones: the model was judged acceptable. Both the modelled results for standard deviation, σC, and concentration intensity, Ic, overestimate the experimental data. This evidence can be due to the non-ideality of the measurement system. The propagation of those errors to the estimation of R90 is complex, but the ranges covered are quite repeatable: the obtained values are 1–3 for the Gamma, 1.5–4 for Modified Weibull PDF, and experimental ones from 1.4 to 3.6.



2018 ◽  
Vol 167 (3) ◽  
pp. 349-369 ◽  
Author(s):  
Massimo Marro ◽  
Pietro Salizzoni ◽  
Lionel Soulhac ◽  
Massimo Cassiani


2017 ◽  
Vol 823 ◽  
pp. 26-56 ◽  
Author(s):  
H. C. Burridge ◽  
D. A. Parker ◽  
E. S. Kruger ◽  
J. L. Partridge ◽  
P. F. Linden

We present simultaneous two-dimensional velocity and scalar measurements on a central vertical plane in an axisymmetric pure turbulent plume. We use an edge-detection algorithm to determine the edge of the plume, and compare the data obtained in both a fixed Eulerian frame and a frame relative to local coordinates defined in terms of the instantaneous plume edge. In an Eulerian frame we observe that the time-averaged distributions of vertical and horizontal velocity are self-similar, the vertical velocity being well represented by a Gaussian distribution. We condition these measurements on whether fluid is inside or outside of the plume, and whether fluid inside is mixed plume fluid or engulfed ambient fluid. We find that, on average, 5 % of the total vertical volume transport occurs outside the plume and this figure rises to nearly 14 % at heights between large-scale coherent structures. We show that the fluxes of engulfed fluid within the plume envelope are slightly larger than the vertical transport outside the plume – indicating that ambient fluid is engulfed into the plume envelope before being nibbled across the turbulent/non-turbulent interface (TNTI) and then ultimately irreversibly mixed. Our new measurements in the plume coordinate (following the meandering fluctuating plume) show the flow within the plume and in the nearby ambient fluid is strongly influenced by whether an eddy is present locally within the plume, or absent. When an eddy is present and the plume is wide, the vertical velocities near the plume edge are small and hence all vertical transport is inside the plume. In regions where the plume is narrow and there is no eddy, large vertical velocities and hence transport are observed outside the plume suggesting that pressure forces associated with the eddies accelerate ambient fluid which is then engulfed into the plume. Finally, we show that observing significant vertical velocities beyond the scalar edge of the plume does not suggest that the characteristic width of the velocity distribution is greater than that of the scalar field; on the contrary, we show our observations to be consistent with a buoyancy distribution that is up to 20 % wider than that of the velocity. Measurements in the plume coordinates show that the mixing of momentum across the plume results in a distribution for which the differential entropy is close to maximal and the mixing of momentum is uninhibited (i.e. not bounded) by the TNTI of the plume. Furthermore, our measurements suggest that the scalar mixing across the plume may also result in a distribution for which the differential entropy is close to maximal but, in contrast to the momentum, the scalar mixing is strictly bounded by the plume edge.



2015 ◽  
Vol 156 (3) ◽  
pp. 447-469 ◽  
Author(s):  
Massimo Marro ◽  
Chiara Nironi ◽  
Pietro Salizzoni ◽  
Lionel Soulhac


2015 ◽  
Vol 156 (3) ◽  
pp. 415-446 ◽  
Author(s):  
Chiara Nironi ◽  
Pietro Salizzoni ◽  
Massimo Marro ◽  
Patrick Mejean ◽  
Nathalie Grosjean ◽  
...  


2014 ◽  
Vol 89 ◽  
pp. 148-157 ◽  
Author(s):  
Harerton Dourado ◽  
Jane Meri Santos ◽  
Neyval C. Reis ◽  
Ilias Mavroidis


2012 ◽  
Vol 48 (1/2/3/4) ◽  
pp. 3 ◽  
Author(s):  
Enrico Ferrero ◽  
Luca Mortarini ◽  
Stefano Alessandrini ◽  
Carlo Lacagnina


2009 ◽  
Vol 43 (4) ◽  
pp. 921-927 ◽  
Author(s):  
L. Mortarini ◽  
P. Franzese ◽  
E. Ferrero




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