Dependence of the lead-210 activity concentration in surface air on meteorological variables and teleconnection indices is investigated using multivariate analysis, which gives the Boosted Decision Trees method as the most suitable for variable analysis. A mapped functional behaviour of the lead-210 activity concentration is further obtained, and used to test predictability of lead-210 in surface air. The results show an agreement between the predicted and measured values. The temporal evolution of the measured activities is satisfactorily matched by the prediction. The largest qualitative differences are obtained for winter months.
Keywords:
lead-210 / surface air / meteorological variables / teleconnection indices / multivariate analysis / wavelet transform analysis
TY - CONF
AU - Ajtić, Jelena
AU - Maletić, Dimitrije
AU - Stratimirović, Đorđe
AU - Blesić, Suzana
AU - Nikolić, Jelena
AU - Đurđević, Vladimir
AU - Todorović, Dragana
PY - 2015
UR - http://rimi.imi.bg.ac.rs/handle/123456789/633
AB - Dependence of the lead-210 activity concentration in surface air on meteorological variables and teleconnection indices is investigated using multivariate analysis, which gives the Boosted Decision Trees method as the most suitable for variable analysis. A mapped functional behaviour of the lead-210 activity concentration is further obtained, and used to test predictability of lead-210 in surface air. The results show an agreement between the predicted and measured values. The temporal evolution of the measured activities is satisfactorily matched by the prediction. The largest qualitative differences are obtained for winter months.
PB - Rad Assoc, `
C3 - RAD Conference Proceedings
T1 - Predictability of lead-210 in surface air based on multivariate analysis
EP - 322
SP - 317
UR - conv_3901
ER -
@conference{
author = "Ajtić, Jelena and Maletić, Dimitrije and Stratimirović, Đorđe and Blesić, Suzana and Nikolić, Jelena and Đurđević, Vladimir and Todorović, Dragana",
year = "2015",
abstract = "Dependence of the lead-210 activity concentration in surface air on meteorological variables and teleconnection indices is investigated using multivariate analysis, which gives the Boosted Decision Trees method as the most suitable for variable analysis. A mapped functional behaviour of the lead-210 activity concentration is further obtained, and used to test predictability of lead-210 in surface air. The results show an agreement between the predicted and measured values. The temporal evolution of the measured activities is satisfactorily matched by the prediction. The largest qualitative differences are obtained for winter months.",
publisher = "Rad Assoc, `",
journal = "RAD Conference Proceedings",
title = "Predictability of lead-210 in surface air based on multivariate analysis",
pages = "322-317",
url = "conv_3901"
}
Ajtić, J., Maletić, D., Stratimirović, Đ., Blesić, S., Nikolić, J., Đurđević, V.,& Todorović, D.. (2015). Predictability of lead-210 in surface air based on multivariate analysis. in RAD Conference Proceedings
Rad Assoc, `., 317-322.
conv_3901
Ajtić J, Maletić D, Stratimirović Đ, Blesić S, Nikolić J, Đurđević V, Todorović D. Predictability of lead-210 in surface air based on multivariate analysis. in RAD Conference Proceedings. 2015;:317-322.
conv_3901 .
Ajtić, Jelena, Maletić, Dimitrije, Stratimirović, Đorđe, Blesić, Suzana, Nikolić, Jelena, Đurđević, Vladimir, Todorović, Dragana, "Predictability of lead-210 in surface air based on multivariate analysis" in RAD Conference Proceedings (2015):317-322,
conv_3901 .
