Linked Life Data

9523345

Source:http://linkedlifedata.com/resource/pubmed/id/9523345

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1998-5-8
pubmed:abstractText
The uncertainties in the exposure predictions after contamination of an urban area due to the variabilities in environmental transfer parameters and in dose conversion factors have been estimated. This was done using the "Latin Hypercube" sampling scheme and the computer codes PRISM and PARATI. For the scenario 'urban contamination by 137Cs' and the population groups considered, the main sources contributing to the uncertainty in the resulting exposures are the limited knowledge of the initial deposition and retention, the weathering processes, the actual urban environments, and the characteristics and habits of the population. The effect of the parameter uncertainties on the variability of the dose is almost constant over time.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0301-634X
pubmed:author
pubmed:issnType
Print
pubmed:volume
36
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
285-92
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1998
pubmed:articleTitle
PARATI--a dynamic model for radiological assessments in urban areas. Part III: Parameter uncertainty analysis.
pubmed:affiliation
Instituto de Radioproteção e Dosimetria, Rio de Janeiro, Brazil.
pubmed:publicationType
Journal Article