The application of correlation spectroscopy to the study of dispersion from tall stacks

Millán, Millán M.; Gallant, A.; Turner, H. E.

doi:10.1016/0004-6981(76)90176-1

Cited by 37 publications

(25 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This average is made with the coordinates related to the centre of gravity of each profile; thus, meandering effects are not taken into account. This profile, averaged in time but not in space, shows the relative diffusion of the plume and keeps its morphologic features (Millán et al, 1976): bifurcation, directional shear effect, wind-speed shear effect (i.e., Kurtosis), etc. Further details in Appendix A.…”

Section: Methodsmentioning

confidence: 94%

“…A2) and those that would be obtained by measuring directly over that plane (Millán et al, 1976;Hoff and Gallant, 1985).…”

Section: Pseudo-lagrangian Data Processing Methodology For Remote Senmentioning

confidence: 99%

“…Obtaining typical horizontal deviations of the plume distribution aloft from the available experimental records has already been described in the literature (Millán et al, 1976;Millán, 1978b); nevertheless, details of the modified PseudoLagrangian method used in this study can be found in Appendix A. In this study, it is important to remark that, following this procedure and from the experimental measurements of the SO 2 distribution aloft, mean values of transversal plume dispersion are obtained at different distances from the emission point and during a determinate temporal period.…”

Section: Comparison Of the Simulated And Measured Transversal Dispersionmentioning

confidence: 99%

“…A3). This line is considered the average axis of the plume or the mean plume transport direction (Millán et al, 1976).…”

Section: A1 Averaging Proceduresmentioning

confidence: 99%

“…pi; in this way, the new averaged profile has no connection with the coordinates of the road projected on the effective plane (Millán et al, 1976). This last distribution contains only information on the concentration values at different (relative) distances from its centre of gravity.…”

Section: A1 Averaging Proceduresmentioning

confidence: 99%

See 4 more Smart Citations

A study of dispersion in complex terrain under winter conditions using high-resolution mesoscale and Lagrangian particle models

Palau

Pérez-Landa

Meliá³

et al. 2006

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract.A mesoscale model (MM5), a dispersive Langrangian particle model (FLEXPART), and intensive meteorological and COrrelation SPECtrometer (COSPEC) measurements from a field campaign are used to examine the advection and turbulent diffusion patterns associated with interactions and forcings between topography, synoptic atmospheric flows and thermally-driven circulations. This study describes the atmospheric dispersion of emissions from a power plant with a 343-m tall chimney, situated on very complex terrain in the North-East of Spain, under winter conditions. During the field campaign, the plume was transported with low transversal dispersion and deformed essentially due to the effect of mechanical turbulence. The main surface impacts appeared at long distances from the emission source (more than 30 km). The results show that the coupled models (MM5 and FLEXPART) are able to predict the plume integral advection from the power plant on very complex terrain. Integral advection and turbulent dispersion are derived from the dispersive Lagrangian model output for three consecutive days so that a direct quantitative comparison has been made between the temporal evolution of the predicted threedimensional dispersive conditions and the COSPEC measurements. Comparison between experimental and simulated transversal dispersion shows an index of agreement between 80% and 90%, within distance ranges from 6 to 33 km from the stack. Linked to the orographic features, the simulated plume impacts on the ground more than 30 km away from the stack, because of the lee waves simulated by MM5.

show abstract

Section: Methodsmentioning

confidence: 94%

“…A2) and those that would be obtained by measuring directly over that plane (Millán et al, 1976;Hoff and Gallant, 1985).…”

Section: Pseudo-lagrangian Data Processing Methodology For Remote Senmentioning

confidence: 99%

Section: Comparison Of the Simulated And Measured Transversal Dispersionmentioning

confidence: 99%

“…A3). This line is considered the average axis of the plume or the mean plume transport direction (Millán et al, 1976).…”

Section: A1 Averaging Proceduresmentioning

confidence: 99%

Section: A1 Averaging Proceduresmentioning

confidence: 99%

See 3 more Smart Citations

A study of dispersion in complex terrain under winter conditions using high-resolution mesoscale and Lagrangian particle models

Palau

Pérez-Landa

Meliá³

et al. 2006

Atmos. Chem. Phys.

View full text Add to dashboard Cite

show abstract

Ausbreitung von Abgasfahnen

Schönbucher

Scheller

1981

Chemie Ingenieur Technik

View full text Add to dashboard Cite

Zur Ausbreitung luftfremder gasformiger Stoffe in der Atmosphare werden die wichtigsten experimentellen Untersuchungsverfahren sowie wesentliche mathematische Modellvorstellungen besonders von GauO-Modellen dargelegt. Dabei wird insbesondere die Einwirkung der von meteorologischen Einfliissen gepragten konvektiven und turbulenten Eigenschaften der Atmosphare auf die Ausbreitung von Abgasfahnen behandelt. Ein aquidensitometrisches MeBverfahren hat gezeigt, daB die Langzeitstrukturen einer Raffinerie-RuDfahne im norddeutschen Raum mit einem GauD-Fahnenmodell quantitativ beschrieben werden konnen. Hieraus ergeben sich die fur alle Ausbreitungsmodelle fundamentalen Streuungsparameter bzw. AustauschgroBen, deren Entfernungsabhangigkeit und GroBenordnung aus der aquidensitometrischen Ballenstruktur der Abgasfahnen verstandlich wird.The dispersion of pollutant plumes. Experimental methods for the determination of plume characteristics and basic mathematical diffusion models with particular emphasis on Gaussian models are reviewed. The most important process in the dispersion of air pollutants is turbulent diffusion in the atmosphere. Equidensitometric measurements of oil refinery plumes in North Germany show that the Gaussian plume model is applicable. The fundamental plume concentration standard deviations and eddy diffusivity coefficients are determined. The equidensitometric model of the eddy structure of plumes explains the time-averaged properties of the plume. Einleitung

show abstract