SharePoint
Aide
Faire avancer la sûreté nucléaire

La Recherchev2

Publications

Prediction of areas presenting a high radon exhalation potential: A new methodology based on the properties of geological formations and soils.


Fermer

Authentification

Email :

Mot de passe :

G. leisch, C. Ferry, G. Tymen and M.C. Robé Actes du congrès ECORAD, 3-7 sept 2001, Aix en Provence, France Radioprotection - Colloques, volume 37, C1-1211/ C1-1216.

Type de document > *Article de revue

Mots clés > études environnementales radon, géologie, radon

Unité de recherche > IRSN/DEI/SARG/LERAR

Auteurs > IELSCH Géraldine, ROBE Marie-Christine

Date de publication > 01/07/2002

Résumé

A research program carried out since 1997 produced a methodology for predicting areas with a strong potential for radon exhalation at the soil surface. This methodology is based on a quantification of the Rn exhalation rate, from a precise characterization of the main local geological and pedological parameters that control the radon source and its transport to the soil/atmosphere interface. It combines a cross mapping analysis of parameters used in a Geographic Information System with a model of the vertical transport of Rn by diffusion trough the soil. This code (TRACHGEO) calculates the radon flux density at the surface as a function of the properties of the rock and the soil. This approach is validated in 4 typical areas with different geological contexts, starting from in situ measurements of radon fluxes and of radon concentrations in dwellings. A lithogeochemical classification of the geological formations as a function of their U contents and their confrontation to Rn level measurements demonstrate the primordial influence of the U content of the basement RN exhalation. This study leads to an initial map of the exhalation potential by assigning a potential class to each lithogeochemistry. Nevertheless, in situ radon measurements reveal a high spatial variability on uraniferous lithologies. Tests made by the TRACHGEO tool show the need to take account of spatial heterogeneity of soils (in addition of geochemistry) to improve the mapping resolution. The TRACHGEO forecasts explain the variability of the Rn exhalation on a larger scale.