Abstract：
:This study presents a comprehensive statistical analysis of the cosmogenic radioisotope 7Be measured in surface air in ten stations over Spain for a 9 years period (from January 2006 to December 2014). Besides the analysis of 7Be seasonal and inter-annual variability, 7Be frequency distributions and its correlations with meteorological variables observed in the 10 sampling sites were investigated. The second part of this paper focuses on a feasibility study for the application of the Artificial Neural Networks (ANNs) to predict monthly 7Be activity concentrations using meteorological variables, PM10 concentrations and the sunspot number as input parameters. Notwithstanding the low correlations found between 7Be and input parameter, the performance of the ANNs, as evaluated by the relevant statistical parameters, demonstrates their capability to correctly predict 7Be monthly activities in the 10 Spanish sampling sites.
journal_name
Chemospherejournal_title
Chemosphereauthors
Chham E,Piñero-García F,Brattich E,El Bardouni T,Ferro-García MAdoi
10.1016/j.chemosphere.2018.04.099subject
Has Abstractpub_date
2018-08-01 00:00:00pages
194-202eissn
0045-6535issn
1879-1298pii
S0045-6535(18)30748-3journal_volume
205pub_type
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