Autor segons l'article: Cerezo, A; Cerezo, A; Prieto, E; Prieto, E; Reichardt, I; Reichardt, I; Casanovas, R; Casanovas, R; Salvado, M; Salvado, M
Departament: Ciències Mèdiques Bàsiques
Autor/s de la URV: Casanovas Alegre, Ramon / Cerezo Fernández, Agustín / Salvadó Artells, Marçal
Paraules clau: Sri (eu) 2 Scintillation gamma-ray spectrometry Scintillation gamma -ray spectrometry Natural isotope Labr (ce) 3 Gamma-ray spectrometry Environmental surveillance network Early warning sri2(eu) natural isotope nai(tl) labr 3 (ce) environmental surveillance network early warning code calibration
Resum: We present an agile, hardware independent analysis methodology based on the spectral windows technique to detect and quantify the environmental activity concentration of artificial isotopes of interest. The method removes counts from Compton scattering, peak overlapping, intrinsic background and other unconsidered contributions to the spectral region where photopeaks from artificial elements are expected. Taking into account the varying concentration of 214Bi, 214Pb, and 212Pb, we compute the activity concentration of the artificial isotopes (when detectable), or a variable Minimum Detectable Activity Concentration (MDAC). This allows to set statistically robust early-warning levels. In the scenario with the lowest concentration of natural occurring isotopes, and for 10-min integration time, we achieve a MDAC of 5.4/4.1/3.9 (Bq/m³) for 131I/137Cs/60Co using a LaBr3(Ce) detector; and 4.2/2.8/2.7 (Bq/m³) for 131I/137Cs/60Co with a SrI2(Eu) detector.
Àrees temàtiques: Zootecnia / recursos pesqueiros Saúde coletiva Radiation Química Physics, atomic, molecular & chemical Odontología Nutrição Nuclear science & technology Medicina veterinaria Medicina ii Medicina i Materiais Interdisciplinar Geografía Geociências Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Chemistry, physical Biotecnología Biodiversidade Astronomia / física Antropologia / arqueologia
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: ramon.casanovas@urv.cat agustin.cerezo@urv.cat agustin.cerezo@urv.cat m.salvado@urv.cat
Identificador de l'autor: 0000-0002-3954-158X 0000-0002-9399-6649
Data d'alta del registre: 2024-09-28
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S0969806X23001913
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Radiation Physics And Chemistry. 209 110946-
Referència de l'ítem segons les normes APA: Cerezo, A; Cerezo, A; Prieto, E; Prieto, E; Reichardt, I; Reichardt, I; Casanovas, R; Casanovas, R; Salvado, M; Salvado, M (2023). A fast algorithm for real-time monitoring of artificial radioisotopes in presence of variable natural radioactivity. Radiation Physics And Chemistry, 209(), 110946-. DOI: 10.1016/j.radphyschem.2023.110946
DOI de l'article: 10.1016/j.radphyschem.2023.110946
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2023
Tipus de publicació: Journal Publications
Repositori URV