Modelling short term individual exposure from airborne hazardous releases in urban environments

Bartzis, John G.; Efthimiou, George C.; Andronopoulos, S.

doi:10.1016/j.jhazmat.2015.06.057

Cited by 26 publications

(19 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present methodology is based on the studies by Bartzis et al (2008) and Bartzis et al (2015), in which the cumulative distribution function (c.d.f.) of scalar concentrations from point source releases of airborne materials was modelled.…”

Section: Methodsologymentioning

confidence: 99%

A Statistical Model for the Prediction of Wind-Speed Probabilities in the Atmospheric Surface Layer

Efthimiou

Hertwig

Andronopoulos

et al. 2016

Boundary-Layer Meteorol

Self Cite

View full text Add to dashboard Cite

Wind fields in the atmospheric surface layer (ASL) are highly three-dimensional and characterized by strong spatial and temporal variability. For various applications such as wind comfort assessments and structural design, an understanding of potentially hazardous wind extremes is important. Statistical models are designed to facilitate conclusions about the occurrence probability of wind speeds based on the knowledge of low-order flow statistics. Being particularly interested in the upper tail regions we show that the statistical behavior of near-surface wind speeds is adequately represented by the Beta distribution. By using the properties of the Beta probability density function in combination with a model for estimating extreme values based on readily available turbulence statistics, it is demonstrated that this novel modelling approach reliably predicts the upper margins of encountered wind speeds. The model's basic parameter is derived from three substantially different calibrating datasets of flow in the ASL originating from boundary-layer wind-tunnel measurements and direct numerical simulation. Evaluating the model based on independent field observations of nearsurface wind speeds showed a high level of agreement between the statistically modelled horizontal wind speeds and measurements. The results show that, based on the knowledge of only a few simple flow statistics (mean wind speed, wind speed fluctuations and integral time scales), the occurrence probability of velocity magnitudes at arbitrary flow locations in the ASL can be estimated with a high degree of confidence.

show abstract

Section: Methodsologymentioning

confidence: 99%

A Statistical Model for the Prediction of Wind-Speed Probabilities in the Atmospheric Surface Layer

Efthimiou

Hertwig

Andronopoulos

et al. 2016

Boundary-Layer Meteorol

Self Cite

View full text Add to dashboard Cite

show abstract

“…This model has been extensively validated for this type of problems (Efthimiou, 2013;Bartzis et al, 2011; and is given by the following equation:…”

Section: Cfd-rans and Deterministic Modelsmentioning

confidence: 99%

Prediction of high concentrations and concentration distribution of a continuous point source release in a semi-idealized urban canopy using CFD-RANS modeling

Efthimiou

Berbekar

Harms

et al. 2015

Atmospheric Environment

View full text Add to dashboard Cite

“…These distributions have been tested for decades with experimental and field data (e.g., Refs. [7][8][9][10][11]), and comprehend among others: the clipped-normal, the Lognormal, the , the Weibull, the β, and, for the upper-tail of the PDF, the generalized Pareto distribution [12,13]. Although the debate on which distribution is the most representative perseveres, the distribution probably deserves a special mention.…”

Section: Introductionmentioning

confidence: 99%

Solution for the statistical moments of scalar turbulence

Bertagni

Marro

Salizzoni³

et al. 2019

Phys. Rev. Fluids

View full text Add to dashboard Cite

We derive a system of equations for the statistical moments of a passive scalar dispersed in a turbulent flow from the transport equation of the probability density function. We solve the system through a Green's function and we obtain a formally exact solution for the statistical moments of the passive scalar concentration. We use this solution to achieve an analytical relationship for the second moment of a passive scalar released from a point source. Comparison with wind-tunnel experiments shows that the relationship is valid also in a neutral turbulent boundary layer if the reflection onto the ground and an appropriate model for the mixing timescale are considered. This approach, combined with a suitable model for the distribution of the concentration, allows the statistics of the passive scalar to be obtained in the whole domain in a closed and ready-to-use form.

show abstract

Modelling short term individual exposure from airborne hazardous releases in urban environments

Cited by 26 publications

References 17 publications

A Statistical Model for the Prediction of Wind-Speed Probabilities in the Atmospheric Surface Layer

A Statistical Model for the Prediction of Wind-Speed Probabilities in the Atmospheric Surface Layer

Prediction of high concentrations and concentration distribution of a continuous point source release in a semi-idealized urban canopy using CFD-RANS modeling

Solution for the statistical moments of scalar turbulence

Contact Info

Product

Resources

About