Assessing personal exposure to traffic-related air pollution using individual travel-activity diary data and an on-road source air dispersion model

2020 ◽  
Vol 63 ◽  
pp. 102351 ◽  
Author(s):  
Yoo Min Park
2017 ◽  
Vol 29 (5) ◽  
pp. 1150-1154 ◽  
Author(s):  
A.K. Dash ◽  
S.K. Sahu ◽  
A. Pradhan ◽  
S.K. Dash ◽  
R.N. Kolli

Author(s):  
James G. Droppo ◽  
Bruce A. Napier ◽  
Jeremy P. Rishel ◽  
Richard W. Bloom

The current cleanup of structures related to cold-war production of nuclear materials includes the need to demolish a number of highly alpha-contaminated structures. The process of planning for the demolition of such structures includes unique challenges related to ensuring the protection of both workers and the public. Pre-demolition modeling analyses were conducted to evaluate potential exposures resulting from the proposed demolition of a number of these structures. Estimated emission rates of transuranic materials during demolition are used as input to an air-dispersion model. The climatological frequencies of occurrence of peak air and surface exposures at locations of interest are estimated based on years of hourly meteorological records. The modeling results indicate that downwind deposition is the main operational limitation for demolition of a highly alpha-contaminated building. The pre-demolition modeling directed the need for better contamination characterization and/or different demolition methods—and in the end, provided a basis for proceeding with the planned demolition activities. Post-demolition modeling was also conducted for several contaminated structures, based on the actual demolition schedule and conditions. Comparisons of modeled and monitoring results are shown. Recent monitoring data from the demolition of a UO3 plant shows increments in concentrations that were previously identified in the pre-demolition modeling predictions; these comparisons confirm the validity and value of the pre-demolition source-term and air dispersion computations for planning demolition activities for other buildings with high levels of radioactive contamination.


2016 ◽  
Vol 26 (5) ◽  
pp. 494-502 ◽  
Author(s):  
Florence Fulk ◽  
Erin N Haynes ◽  
Timothy J Hilbert ◽  
David Brown ◽  
Dan Petersen ◽  
...  

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