2016
DOI: 10.1016/j.jenvrad.2016.01.010
|View full text |Cite
|
Sign up to set email alerts
|

Atmospheric stability effects on potential radiological releases at a nuclear research facility in Romania: Characterising the atmospheric mixing state

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
37
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 24 publications
(38 citation statements)
references
References 25 publications
1
37
0
Order By: Relevance
“…As radon fluxes are, across daily timescales, constant to first-order approximation, nocturnal build-up of radon is indicative of atmospheric stability, with highest radon values indicating the most stable atmospheres. This follows the radon-based stability categorisation method described by Chambers et al (2016a) and . In the dry season (left), it can clearly be seen that the magnitude of nocturnal GEM depletion increases with increasing stability and, conversely, little to no depletion occurs under well-mixed boundary layers.…”
Section: Diurnal Variationmentioning
confidence: 99%
“…As radon fluxes are, across daily timescales, constant to first-order approximation, nocturnal build-up of radon is indicative of atmospheric stability, with highest radon values indicating the most stable atmospheres. This follows the radon-based stability categorisation method described by Chambers et al (2016a) and . In the dry season (left), it can clearly be seen that the magnitude of nocturnal GEM depletion increases with increasing stability and, conversely, little to no depletion occurs under well-mixed boundary layers.…”
Section: Diurnal Variationmentioning
confidence: 99%
“…Finally, the studies by Chambers et al (2015aChambers et al ( , 2015bChambers et al ( , 2016 conclusively demonstrate the superiority of the radon-based stability classification over the commonly used measures of Pasquill-Gifford 'turbulence' or 'radiation' schemes. Radon-based techniques are suited to nocturnal pollution studies because atmospheric radon concentrations near the surface are directly and unambiguously related to the integrated outcome of the turbulent mixing process over a relatively large local footprint, and are comparatively unaffected by site-specific variations in surface flow (roughness) and heating patterns (Williams et al, 2013;Chambers et al, 2015aChambers et al, , 2016. Furthermore, the radon-based stability measures used here can be easily adjusted to suit the regional climatology .…”
Section: Radon-based Atmospheric Stability Classificationmentioning
confidence: 82%
“…concentrations of the ubiquitous surface-emitted passive tracer radon (e.g. Allegrini et al, 1994;Duenas et al, 1996;Perrino, 2001Perrino, , 2012Avino et al, 2003;Galmarini, 2006;Sesana et al, 2006;Chambers et al, 2011Chambers et al, , 2015aChambers et al, , 2015bChambers et al, , 2016Wang et al, 2013;Williams et al, 2013;Kondo et al, 2014;Pitari et al, 2014;Omori and Nagahama, 2016). Radon-derived measures of atmospheric stability, based on accumulation/dilution patterns of radon near the surface, are rapidly gaining acceptance because they are better suited to the analysis of mixing-related changes in nocturnal urban air pollution concentrations than the more traditional techniques based on climatological or turbulence measurements.…”
Section: Radon-based Atmospheric Stability Classificationmentioning
confidence: 99%
“…This investigation is a companion study to Chambers, Galeriu, et al (). The specific objectives of this study are (i) to improve upon the existing radon‐based nocturnal stability classification technique developed by Chambers, Galeriu, et al () and thereby develop an atmospheric class typing technique for urban observations by extending the nocturnal stability classification to whole 24‐hr periods; (ii) to show how to quantify radon‐based atmospheric stability classes at a given site according to conventional stability classification approaches; (iii) to demonstrate the superiority of the radon‐based class typing approach; and (iv) to build upon the findings of Chambers, Galeriu, et al () by showing how effective objective classification of the atmospheric mixing state is regarding the interpretation and understanding of surface‐atmosphere radiation and energy exchange processes in the urban environment.…”
Section: Introductionmentioning
confidence: 99%