Gamma and ultraviolet radiation radiation analysis: an internet of things-based dosimetric study

This study presents the implementation of an internet of things (IoT)-based device for the accurate and continuous measurement of gamma and ultraviolet (UV) radiation in a rural area of Sincelejo, Colombia. The device, calibrated with an error margin below 5%, allowed for the reliable collection of data during the year 2022. An average effective dose rate of gamma radiation of (0.998±0.037) mSv/year was recorded, a value that approaches the recommended limit. Additionally, the inverse square law of radiation was confirmed, observing a decrease in radiation with an increase in altitude. Concurrently, a constant risk of high to extremely high UV radiation exposure was detected throughout the year. These findings emphasize the need for constant monitoring and the implementation of UV protection measures in the region. The integration of IoT in environmental dosimetry has proven to be an invaluable tool for detailed tracking of radiation levels, significantly contributing to the understanding of radiation in rural areas. The exploration of more advanced sensors and data analysis tools in future research is recommended to further improve the accuracy and utility of these devices.

• Autores: Rubén Baena-Navarro; Luis Alcala-Varilla; Francisco Torres-Hoyos; Yulieth Carriazo-Regino; Tobías Parodi-Camaño
• Tipo de recurso: Investigation report
• Fecha de publicación: 2024
• Institución: Universidad Cooperativa de Colombia
• Repositorio: Repositorio UCC
• OAI Identifier: oai:repository.ucc.edu.co:20.500.12494/56755
• Acceso en línea: https://hdl.handle.net/20.500.12494/56755; https://doi.org/10.11591/eei.v13i5.7344
• Rights: openAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/