Tools for harmonized data collection at exposure situations with naturally occurring radioactive materials (NORM)

Autor: Jelena Mrdakovic Popic, Hallvard Haanes, Christian Di Carlo, Cristina Nuccetelli, Gennaro Venoso, Federica Leonardi, Rosabianca Trevisi, Flavio Trotti, Raffaella Ugolini, Alla Dvorzhak, Alicia Escribano, Danyl Perez Sanchez, Almudena Real, Boguslaw Michalik, Lea Pannecoucke, Pascale Blanchart, Antti Kallio, Ruth Pereira, Joana Lourenço, Lindis Skipperud, Simon Jerome, Laureline Fevrier

Publikováno v: Environment International, Vol 175, Iss , Pp 107954- (2023)

Naturally occurring radioactive materials (NORM) contribute to the dose arising from radiation exposure for workers, public and non-human biota in different working and environmental conditions. Within the EURATOM Horizon 2020 RadoNorm project, work

Externí odkaz: https://doaj.org/article/4540c5b66946463fabddf9caff5ca379

General model for estimation of indoor radon concentration dynamics

Autor: Almudena Real, Ismael Fuente, J. C. Mora, Carlos Sainz, Alla Dvorzhak

Publikováno v: Environmental Science and Pollution Research. 28:54085-54095

A known relationship exists between high radon concentrations and lung cancer, and therefore, the indoor radon quantification is important, and it is beneficial to have a model to estimate indoor concentration. The work is focused on the development

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07f363ac2dcc2d9d61635ac670c331ef
https://doi.org/10.1007/s11356-021-14422-3

Application of a Semi-empirical Dynamic Model to Forecast the Propagation of the COVID-19 Epidemics in Spain

Autor: Ignacio Rodriguez, Asuncion Nunez, J. C. Mora, Sandra Pérez, Alla Dvorzhak

A semi-empirical model, based on the logistic map approach, was developed and applied to forecast the different phases of the evolution of the COVID-19 epidemic. This model can be used to make predictions of the propagation of the SARS-CoV-2 virus in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c801c9b0988cc7b6c8cb9243ba6acfc4
https://doi.org/10.1101/2020.04.19.20071860

Spanish Experience on Modeling of Environmental Radioactive Contamination Due to Fukushima Daiichi NPP Accident Using JRODOS

Autor: Alla Dvorzhak, J. C. Mora, M. Montero, Carlos Puras

Publikováno v: Environmental Science & Technology. 46:11887-11895

Since the Chernobyl Nuclear Power Plant accident, decision support systems (DSS) for supporting response of the decision makers in emergencies have been developed and refined. Data available from real accidents are used to validate these systems, thu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::586f5f6f96fe50e70421c501942a3051
https://doi.org/10.1021/es301687t

A fuzzy MCDA framework for safety assessment in the remediation of a uranium mill tailings site in Ukraine

Autor: Alla Dvorzhak, Antonio Jiménez Martín, Miguel Carlos Martín Blanco, Danyl Pérez-Sánchez, Alfonso Mateos Caballero

Publikováno v: Scopus-Elsevier
Intelligent Systems and Decision Making for Risk Analysis and Crisis Response ISBN: 9780429212727
Intelligent Systems and Decision Making for Risk Analysis and Crisis Response | 4th International Conference on Risk Analysis and Crisis Response | 23-29 Aug 2013 | Estambul, Turquía
Archivo Digital UPM
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The Pridneprovsky Chemical Plant was one of the largest uranium processing enterprises in the former USSR, producing a huge amount of uranium residues. The Zapadnoe tailings site contains most of these residues. We propose a theoretical framework bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d742b26996c86a1c0d5a2e40b177ce1
http://www.scopus.com/inward/record.url?eid=2-s2.0-84887949022&partnerID=MN8TOARS