RT Journal Article
T1 Analysing the performance of radiological monitoring network during nuclear accidents
A1 Sangiorgi, Marco
A1 Hernández Ceballos, Miguel Ángel
A1 Bolívar Raya, Juan Pedro
AB JRODOS was used to simulate the dispersion of airborne radioactive material from a point source over the period2012–2015. In total, 1331 radioactive plumes were simulated with the objective to investigate the influence ofchanges in meteorological conditions in the performance of the monitoring network. For this purpose, theexisting set of 84 monitoring stations included in the EUropean Radiological Data Exchange Platform (EURDEP)system in an area of 200 km around the source point is taken as reference. A methodology is presented forquantitative evaluation of the variability of the number of stations affected, the time of the first detection, themaximum registered and differences between the maximum values match in the network and in the simulatedplumes. The results show seasonal differences in all of these parameters according to changes in the size andshape of the affected area due to meteorological conditions. There are large differences in the number ofmonitoring stations affected by the plumes, from 2 to 74; in the timing and location of the first alert given by thenetwork, from 1 to more than 5 h and faster along the west-east axis from the source; and in level of maximumgamma dose rate detected by the monitoring stations, from 0.17 nSv/h in summer to 0.22 nSv/h in autumn.These results show the need to consider this type of analysis over the years in the design of monitoring networksand in the development of nuclear emergency preparedness and response (EP&R) plans.
PB Elsevier
SN 0149-1970
SN 1878-4224 (electrónico)
YR 2023
FD 2023
LK https://hdl.handle.net/10272/22191
UL https://hdl.handle.net/10272/22191
LA eng
NO Sangiorgi, M., Hernández-Ceballos, M. A., & Bolivar, J. P. (2023). Analysing the performance of radiological monitoring network during nuclear accidents. In Progress in Nuclear Energy (Vol. 160, p. 104689). Elsevier BV. https://doi.org/10.1016/j.pnucene.2023.104689
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026