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 perf...
The availability of reliable climatologic data is essential for multiple purposes in a wide set of a...
Studies of radionuclide activities in aerosol particles provide a mean for evaluating the integrated...
In recent decades, artificial neural networks (ANNs) have been used for the prediction of concentrat...
This study presents a comprehensive statistical analysis of the cosmogenic radioisotope 7Be measured...
A multilayer perceptron artificial neural network (ANN) model for the prediction of the Be-7 behavio...
This work regards a comprehensive analysis of the overall distribution of 7Be activity concentration...
This work presents the analysis of weekly 7Be activity concentrations in the air measured in Bilbao ...
This study presents the first European-wide analysis of the spatial and temporal distribution of the...
AbstractThis study presents a European-wide analysis of the spatial and temporal distribution of the...
INTRODUCTION Levels of particulate matter fraction PM10 were monitored between 2009 and 2011 in Mal...
7Be air concentrations were measured at the Universitat Politecnica de Valencia campus (in the east ...
The components and the periodicity characterising airborne 7Be monthly concentration collected in Gr...
[eng] Measurements of airbone radionuclides 7Be and gross beta (Ab) jointly with atmospheric aerosol...
Prediction of particulate matter (PM) in the air is an important issue in control and reduction of p...
Assessing the transport of natural radionuclides in the atmosphere provides a powerful tool to study...
The availability of reliable climatologic data is essential for multiple purposes in a wide set of a...
Studies of radionuclide activities in aerosol particles provide a mean for evaluating the integrated...
In recent decades, artificial neural networks (ANNs) have been used for the prediction of concentrat...
This study presents a comprehensive statistical analysis of the cosmogenic radioisotope 7Be measured...
A multilayer perceptron artificial neural network (ANN) model for the prediction of the Be-7 behavio...
This work regards a comprehensive analysis of the overall distribution of 7Be activity concentration...
This work presents the analysis of weekly 7Be activity concentrations in the air measured in Bilbao ...
This study presents the first European-wide analysis of the spatial and temporal distribution of the...
AbstractThis study presents a European-wide analysis of the spatial and temporal distribution of the...
INTRODUCTION Levels of particulate matter fraction PM10 were monitored between 2009 and 2011 in Mal...
7Be air concentrations were measured at the Universitat Politecnica de Valencia campus (in the east ...
The components and the periodicity characterising airborne 7Be monthly concentration collected in Gr...
[eng] Measurements of airbone radionuclides 7Be and gross beta (Ab) jointly with atmospheric aerosol...
Prediction of particulate matter (PM) in the air is an important issue in control and reduction of p...
Assessing the transport of natural radionuclides in the atmosphere provides a powerful tool to study...
The availability of reliable climatologic data is essential for multiple purposes in a wide set of a...
Studies of radionuclide activities in aerosol particles provide a mean for evaluating the integrated...
In recent decades, artificial neural networks (ANNs) have been used for the prediction of concentrat...