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The influence of solar activities on occurrence of the forest fires in south Europe
(Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd, 2015)
In mid-July 2012, hundreds of fires spread over forest stands in the south of Europe. Considering available satellite and meteorological data we have tried to determine a method using analogy, whether these fires were ...
Multidisciplinarity in Research of Extreme Solar Energy Influences on Natural Disasters
(Basel : MDPI, 2019)
The atmosphere is a very sensitive medium to extraterrestrial forces, most importantly, solar electromagnetic radiation and energetic particle intrusion. This released intense solar activity can
cause sudden disturbances ...
Climate changes instead of global warming
(Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd, 2014)
Air temperature changes on Earth in recent years are the subject of numerous and increasingly interdisciplinary research. In contrast to, conditionally speaking, generally accepted views that these changes are conditioned ...
Fire protection problems with large forest fires in Deliblatska peščara (Serbia)
(Srpska akademija nauka i umetnosti SANU - Geografski institut 'Jovan Cvijić', Beograd, 2013)
Purpose - The aim of the paper was to investigate the major forest fires in Deliblatska peščara, as well as to analyze the efficiency of fire protection measures. Design / methodology / approach - The analysis included ...
The influence of the solar flux at 2.8 GHz on outbreaks of gypsy moth (Lymantria dispar L.) (Lepidoptera: Lymantriidae) in Serbia
(Beograd : Srpsko biološko društvo i dr., 2010)
The connection between the solar flux at 2.8 GHz (based on mean monthly values) and the outbreaks of gypsy moths (Lymantria dispar L.) in Serbia was investigated. The researches included six outbreaks from 1952 to 2007. ...
Connection of Solar Activities and Forest Fires in 2018: Events in the USA (California), Portugal and Greece
(Basel, Switzerland : MDPI., 2020)
The impact of solar activity on environmental processes is difficult to understand and complex for empirical modeling. This study aimed to establish forecast models of the meteorological conditions in the forest fire areas ...
Application of Solar Activity Time Series in Machine Learning Predictive Modeling of Precipitation-Induced Floods
(MDPI AG, 2023)
This research is devoted to the determination of hidden dependencies between the flow of particles that come from the Sun and precipitation-induced floods in the United Kingdom (UK). The analysis covers 20 flood events ...