Articles | Volume 24, issue 4
https://doi.org/10.5194/nhess-24-1319-2024
https://doi.org/10.5194/nhess-24-1319-2024
Research article
 | 
23 Apr 2024
Research article |  | 23 Apr 2024

Modeling of indoor 222Rn in data-scarce regions: an interactive dashboard approach for Bogotá, Colombia

Martín Domínguez Durán, María Angélica Sandoval Garzón, and Carme Huguet

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1480', Anonymous Referee #1, 29 Dec 2023
    • AC1: 'Reply on RC1', Martín Domínguez, 08 Jan 2024
  • RC2: 'Comment on egusphere-2023-1480', Anonymous Referee #2, 09 Jan 2024
    • AC1: 'Reply on RC1', Martín Domínguez, 08 Jan 2024
    • AC2: 'Reply on RC2', Martín Domínguez, 14 Jan 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (29 Jan 2024) by Olivier Dewitte
AR by Martín Domínguez on behalf of the Authors (05 Feb 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (28 Feb 2024) by Olivier Dewitte
AR by Martín Domínguez on behalf of the Authors (05 Mar 2024)  Author's response   Manuscript 
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Short summary
In this study we created a cost-effective alternative to bridge the baseline information gap on indoor radon (a highly carcinogenic gas) in regions where measurements are scarce. We model indoor radon concentrations to understand its spatial distribution and the potential influential factors. We evaluated the performance of this alternative using a small number of measurements taken in Bogotá, Colombia. Our results show that this alternative could help in the making of future studies and policy.
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