A neural net-air dispersion model validation study using the Indianapolis urban data set

2010 ◽  
Vol 40 (1/2/3) ◽  
pp. 70 ◽  
Author(s):  
A. Pelliccioni ◽  
C. Gariazzo ◽  
T. Tirabassi
Keyword(s):  
Model Validation ◽  
Validation Study ◽  
Dispersion Model ◽  
Neural Net ◽  
Data Set ◽  
Air Dispersion ◽  
Air Dispersion Model ◽  
Urban Data

Statistical evaluation of a new air dispersion model against AERMOD using the Prairie Grass data set

2014 ◽  
Vol 64 (2) ◽  
pp. 219-226
Author(s):  
Fernando Augusto Silveira Armani ◽  
Ricardo Carvalho de Almeida ◽  
Nelson Luís da Costa Dias
Keyword(s):  
Statistical Evaluation ◽  
Dispersion Model ◽  
Data Set ◽  
Air Dispersion ◽  
Prairie Grass ◽  
Air Dispersion Model

Use of Source Term and Air Dispersion Modeling in Planning Demolition of Highly Alpha-Contaminated Buildings

2011 ◽  
Author(s):  
James G. Droppo ◽  
Bruce A. Napier ◽  
Jeremy P. Rishel ◽  
Richard W. Bloom
Keyword(s):  
Source Term ◽  
Dispersion Model ◽  
Dispersion Modeling ◽  
Nuclear Materials ◽  
Emission Rates ◽  
The Public ◽  
Air Dispersion Modeling ◽  
Air Dispersion ◽  
Air Dispersion Model ◽  
War Production

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.

scholarly journals Comparison of stationary and personal air sampling with an air dispersion model for children’s ambient exposure to manganese

2016 ◽  
Vol 26 (5) ◽  
pp. 494-502 ◽  
Author(s):  
Florence Fulk ◽  
Erin N Haynes ◽  
Timothy J Hilbert ◽  
David Brown ◽  
Dan Petersen ◽  
...  
Keyword(s):  
Dispersion Model ◽  
Air Sampling ◽  
Ambient Exposure ◽  
Air Dispersion ◽  
Air Dispersion Model ◽  
Personal Air Sampling

scholarly journals Air Dispersion Model to Study the Point Source Air Pollution and its Impact on Ambient Air Quality

2017 ◽  
Vol 29 (5) ◽  
pp. 1150-1154 ◽  
Author(s):  
A.K. Dash ◽  
S.K. Sahu ◽  
A. Pradhan ◽  
S.K. Dash ◽  
R.N. Kolli
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Point Source ◽  
Dispersion Model ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Air Dispersion ◽  
Air Dispersion Model
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