Identification of airborne radioactive spatial patterns in Europe - Feasibility study using Beryllium-7

Area of Science:

• Environmental Science
• Atmospheric Chemistry
• Radiological Protection

Background:

• Airborne radioactive particles pose environmental and health risks.
• Understanding their spatial distribution is crucial for monitoring and assessment.
• Existing methods may lack the granularity to capture complex European patterns.

Purpose of the Study:

• To develop and validate a methodology for identifying spatial patterns of airborne radioactive particles in Europe.
• To analyze the spatial and temporal distribution of cosmogenic beryllium-7 (7Be) across European sampling stations.
• To assess the influence of factors like tropopause height on particle distribution.

Main Methods:

• Transformation of activity concentrations into monthly indices.
• Application of hierarchical and non-hierarchical clustering (k-means) to identify spatial groups.
• Utilizing beryllium-7 (7Be) data from the Radioactivity Environmental Monitoring (REM) database (2007-2010).
• Statistical validation using ANOVA analysis and testing the impact of tropopause height.

Main Results:

• Identification of three distinct spatial clusters for 7Be: South, Central, and North Europe.
• Demonstration of significant differences in 7Be monthly index intensity and temporal trends among clusters.
• Confirmation of a latitudinal distribution pattern for 7Be activity concentrations.
• Validation of the methodology's effectiveness in revealing spatial heterogeneity.

Conclusions:

• The proposed methodology successfully identifies distinct spatial patterns in airborne radioactive particles in Europe.
• The clustering approach reveals a latitudinal gradient in 7Be distribution, influenced by tropopause height.
• This work enhances the understanding of 7Be concentration heterogeneity in the EU and provides a basis for further research.