EGU25-8682, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-8682
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Identifying Radon hazard areas: Machine learning-driven Geogenic Radon Potential mapping in Hessen
Augustine Maada Gbondo1, Rouwen Lehne1,2, Eric Petermann3, and Andreas Henk1
Augustine Maada Gbondo et al.
  • 1Technische Universität Darmstadt, Applied Geosciences, Engineering Geology, Darmstadt, Germany
  • 2Hessian Agency for Nature Conservation, Environment and Geology, Wiesbaden, Germany
  • 3Federal Office for Radiation Protection (BfS), Berlin, Germany

How to cite: Gbondo, A. M., Lehne, R., Petermann, E., and Henk, A.: Identifying Radon hazard areas: Machine learning-driven Geogenic Radon Potential mapping in Hessen, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8682, https://doi.org/10.5194/egusphere-egu25-8682, 2025.

This abstract has been withdrawn on 25 Jul 2025.