Related Experiment Video
Updated: Jun 6, 2026

Atom Probe Tomography Analysis of Exsolved Mineral Phases
Published on: October 25, 2019
Radon diffusion in an anhydrous andesitic melt: a finite difference solution.
Svetislav Savović1, Alexandar Djordjevich, Peter W Tse
1Faculty of Science, R. Domanovića 12, Kragujevac, Serbia. savovic@kg.ac.rs
Radon-222 diffusion in andesitic melts was accurately modeled using the explicit finite difference method. This approach is effective for understanding radon transport in volcanic materials under various conditions.
Area of Science:
- Geochemistry
- Geophysics
- Nuclear Science
Background:
- Radon-222 (Rn) is a naturally occurring radioactive gas.
- Understanding radon diffusion in geological materials is crucial for various applications.
- Andesitic melts are common volcanic materials.
Purpose of the Study:
- To investigate the diffusion of Radon-222 in anhydrous andesitic melt.
- To validate the explicit finite difference method for modeling radon diffusion in melts.
- To assess the method's applicability for complex initial and boundary conditions.
Main Methods:
- Artificial glass discs of anhydrous andesitic melt were prepared.
- The explicit finite difference method was employed to solve diffusion equations.
- Numerical solutions were compared against analytical solutions from existing literature.
Main Results:
- The explicit finite difference method provided accurate solutions for Radon-222 diffusion.
- Good agreement was observed between the numerical and analytical solutions.
- The method demonstrated effectiveness for modeling radon diffusion in andesitic melts.
Conclusions:
- The explicit finite difference method is a reliable and accurate tool for simulating Radon-222 diffusion in andesitic melts.
- This numerical approach is particularly valuable for scenarios with non-standard initial and boundary conditions.
- The study validates a key method for geochemical and geophysical transport modeling.
Related Concept Videos
Diffusion
Kohlraush’s Law and its Applications
Debye–Huckel–Onsager Conductance Equation
Ideal Solutions
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion
Maxwell-Boltzmann Distribution: Problem Solving
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by

