Uncertainty quantification in long-range Lagrangian atmospheric transport and dispersion modelling

Research output: ThesisDoctoral thesis

Institutes & Expert groups

  • UGent - Universiteit Gent

Documents & links


Atmospheric transport and dispersion models are an important tool for the verification of the Comprehensive Nuclear-Test-Ban Treaty. This Treaty bans nuclear explosions worldwide and by everyone. Part of the verification regime of the Comprehensive Nuclear-Test-Ban Treaty consists of a global network of ground stations that monitor airborne radioactive particles which can be the signature of a nuclear explosion. If such radioactive particles are detected, atmospheric transport and dispersion models can be used to help locate the origin of the radioactive
particles by calculating trajectories backward in time.
Atmospheric transport and dispersion models are furthermore used to help assess the impact of routine and accidental releases of radioactive particles into the atmosphere by civilian nuclear facilities. For routine releases, atmospheric transport models allow to estimate their impact on monitoring stations of the radionuclide verification system. For accidental releases, atmospheric transport models can estimate the source parameters (such as the release location and the release profile) using a set of measured radionuclide concentrations in the air.
This dissertation deals with long-range atmospheric transport and dispersion
modelling, which covers spatial scales of a few hundred kilometres up to the planetary scale, and how it can contribute to the radionuclide verification part of the Comprehensive Nuclear-Test-Ban Treaty. The findings presented here are also relevant for nuclear emergency management, and could be applied to other fields of research where use is made of atmospheric transport and dispersion models.


Original languageEnglish
QualificationDoctor of Science
Awarding Institution
  • UGent - Universiteit Gent
  • Camps, Johan, SCK CEN Mentor
  • Termonia, Piet, Supervisor, External person
  • Delcloo, Andy, Supervisor, External person
Award date8 Nov 2018
  • UGent - Universiteit Gent
Publication statusPublished - 8 Nov 2018


  • Lagrangian, Atmospheric transport, Dispersion modelling, Uncertainty

ID: 7500959