A dynamic model for evaluating radionuclide distribution in forests from nuclear accidents

Area of Science:

• Environmental Science
• Radiological Science
• Ecosystem Modeling

Background:

• The 1986 Chernobyl disaster resulted in widespread radionuclide contamination across Europe, significantly impacting forest ecosystems.
• Belarus experienced extensive contamination, with millions of hectares of forest affected by cesium-137, strontium-90, and plutonium isotopes.

Purpose of the Study:

• To develop a generic model, FORESTPATH, to simulate radionuclide kinetics and predict concentrations in forest ecosystems.
• To assess countermeasures for limiting long-term radiological dose in contaminated forest regions.

Main Methods:

• Formulated the FORESTPATH model to describe radionuclide movement pathways and kinetics.
• Calculated time-dependent radionuclide concentrations in forest compartments using residence half-times.
• Employed variability analysis to determine parameter importance in model performance.

Main Results:

• The model accurately reproduces known radionuclide cycling patterns in both deciduous and coniferous forests.
• Variability analysis identified key parameters influencing model predictions.
• Demonstrated the model's capability to simulate radionuclide behavior over extended periods.

Conclusions:

• The FORESTPATH model provides a valuable tool for predicting radionuclide accumulation in forest ecosystems.
• The model can be adapted for site-specific applications to aid in managing contaminated forest lands.
• Informing countermeasures is crucial for the safe recovery of forest habitats and resources affected by Chernobyl fallout.