Predictability of lead-210 in surface air based on multivariate analysis
Нема приказа
Аутори
Ajtić, JelenaMaletić, Dimitrije
Stratimirović, Đorđe
Blesić, Suzana
Nikolić, Jelena
Đurđević, Vladimir
Todorović, Dragana
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
lead-210 / surface air / meteorological variables / teleconnection indices / multivariate analysis / wavelet transform analysisИзвор:
RAD Conference Proceedings, 2015, 317-322Издавач:
- Rad Assoc, `
Институција/група
Institut za medicinska istraživanjaTY - 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 - https://hdl.handle.net/21.15107/rcub_vinar_7129 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 = "https://hdl.handle.net/21.15107/rcub_vinar_7129" }
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. https://hdl.handle.net/21.15107/rcub_vinar_7129
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. https://hdl.handle.net/21.15107/rcub_vinar_7129 .
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, https://hdl.handle.net/21.15107/rcub_vinar_7129 .