Analysis of Air Activity Concentration Data Collected in the Kanto Plain, Japan, following the 2011 Fukushima Daiichi Nuclear Accident
Abstract
A novel use of econometric analysis was applied for the comparison of time series of air sampling data considered for use in dose assessments of DOD participants in Operation Tomodachi. Autocorrelation analysis was used to explore the time structure of the data and cointegration was used to determine whether or not the time series were co-trended with each other. These methods are applied to time series of air activity concentration collected at three locations following the release of radioactive materials from the Fukushima Daiichi Nuclear Power Station. The time series at Yokota Air Base and the International Monitoring Station are shown to have similar time structure and behavior and can be cointegrated with each other, while those at Yokosuka Naval Base were very different. The results support decisions on data used in dose assessments and suggest the methods may be useful in other similar exposure situations.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 09, 2015
- Accession Number
- ADA623829
Entities
People
- Harvey A. Singer
Organizations
- George Mason University