Nuclear explosion monitoring network design considerations

Area of Science:

• Environmental monitoring
• Nuclear safety
• Atmospheric science

Background:

• Efficient monitoring networks are crucial for detecting radioactive releases.
• Xenon-133 (Xe-133) is a key radionuclide of concern in nuclear safety.
• Network design depends on release characteristics, equipment reliability, and performance goals.

Purpose of the Study:

• To provide a scientific basis for optimizing or minimizing Xe-133 sampler networks.
• To determine optimal sampling densities for various release levels and desired performance.
• To explore the impact of station location subsets and substitutions on network performance.

Main Methods:

• Varying sampling location density to identify optimal subsets.
• Evaluating network performance using hypothetical Xe-133 releases and atmospheric transport models over a full year.
• Calculating detection probability, expected stations, and expected samples for network evaluation.

Main Results:

• Quantitative measures support selecting optimal or near-optimal networks based on station density.
• A 90% detection probability for a 10^14 Bq release requires very high sampler density with current technology.
• Increasing the design basis release to 10^15 Bq allows for a threefold reduction in station density.

Conclusions:

• Network optimization is feasible by adjusting sampler density relative to release magnitude.
• Current technology necessitates high sampler density for sensitive detection of smaller Xe-133 releases.
• Achieving specific detection goals, like three average station detections, requires careful consideration of network density and release scenarios.