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Geostatistical analysis as applied to two environmental radiometric time series
Mark Dowdall1, Bjørn Lind, Sebastian Gerland
1Environmental Protection Unit, Norwegian Radiation Protection Authority, Polar Environmental Centre, Tromsø, Norway. mark.dowdall@nrpa.no
Environmental Monitoring and Assessment
|April 2, 2003
Summary
Geostatistical analysis of marine 99Technetium (99Tc) data reveals strong temporal correlations. Kriging interpolation methods offer improved accuracy for seawater 99Tc levels compared to linear interpolation.
Area of Science:
- Environmental Science
- Radiochemistry
- Geostatistics
Background:
- Marine monitoring programs collect time-series data on radionuclides like 99Technetium (99Tc).
- Understanding temporal correlations in environmental data is crucial for effective monitoring and sampling optimization.
Purpose of the Study:
- To apply geostatistical data analysis to environmental radiometric time series of 99Tc in seaweed and seawater.
- To investigate temporal correlations and interpolate values at unsampled times.
Main Methods:
- Geostatistical analysis of 99Tc time-series data from seaweed (Fucus vesiculosus) and seawater samples.
- Modeling temporal correlations using exponential and linear functions.
- Comparison of kriging interpolation with simple linear interpolation via cross-validation.
Main Results:
- High temporal correlation observed in both seawater and seaweed 99Tc data.
- Seawater data modeled with an exponential function (395-day correlation range); seaweed data with a linear function.
- Kriging interpolation outperformed simple linear interpolation for seawater data accuracy.
Conclusions:
- Geostatistics effectively models temporal correlations in marine radiometric data.
- Kriging provides a more accurate interpolation method for seawater 99Tc monitoring.
- Findings aid in optimizing future marine monitoring sampling schemes.