Posters European Corner 2021

Nom i cognoms / Name and surname
Claudia Grossi

Afiliació / Affiliation
Universitat Politècnica de Catalunya

Programa de finançament europeu en que s’enmarca aquest projecte? / European funding programme in which this project is being carried out?
EU support (FP7, H2020, etc.) other than MSCA

Títol del projecte / Project title

Número del projecte / Project number

Breu explicació del projecte / Brief explanation of your project
Radon is a naturally occurring radioactive gas that can help locate the source of greenhouse gases.

Radon gas is the main source of natural radiation exposure to the public and its environmental distribution must be known. It is emitted almost evenly from ice-free land allowing its use as a tracker for quantifying and pin-pointing the sources of greenhouse gas (GHG) emissions using the Radon Tracer Method (RTM). Improved quantification measurements are required to locate Radon Priority Areas (RPA) and for validating GHG emission models.

The project will develop traceable measurements for low-level atmospheric radon along with a reference-standard radon monitor, with results validated using long-term, field-based inter-comparisons. For the first time, a standard methodology for the RTM will be developed together with a validated, high-resolution radon flux map. RPAs will also be identified which has never been attempted before due to a lack of quality data. The results will support radiation protection measures and GHG emission models, leading to increased safety and a better identification of the sources of damaging pollutants.

Enllaç a la pàgina web del projecte / Link to your project website

Repte en que s’emmarca aquest projecte / Challenge within the framework of this project
1. Health, demographic change and wellbeing, 5. Climate action, environment, resource efficiency and raw materials


Amb el suport de:

Amb el finançament de:

Aquest projecte està cofinançat pel programa de recerca i innovació Horizon Europe de la Unió Europea sota el projecte NitRecerCat (101061189).

This project is co-funded by the European Union’s research and innovation programme Horizon Europe, under the project NitRecercat (101061189).