A5052949464- Hydrological Forecasting Using AI
- Fire Detection and Safety Systems
- Advanced Chemical Sensor Technologies
- Solar Radiation and Photovoltaics
- Energy Load and Power Forecasting
- Solar and Space Plasma Dynamics
- Meteorological Phenomena and Simulations
- Fire effects on ecosystems
- Tropical and Extratropical Cyclones Research
- Ocean Waves and Remote Sensing
Yuriy Fedkovych Chernivtsi National University
2024
Bukovinian State Medical University
2018-2023
Forest fires that occurred in Portugal on June 18, 2017, caused several tens of human casualties. The cause their emergence, as well many others western Europe at the same time remained unknown. Taking into account consequences, including loss lives and endangerment ecosystem sustainability, discovering forest causes is very significant question. heliocentric hypothesis has indirectly been tested, according to which charged particles are a possible fires. We must point out it was not verify...
This research is devoted to the determination of hidden dependencies between flow particles that come from Sun and precipitation-induced floods in United Kingdom (UK). The analysis covers 20 flood events during period October 2001 December 2019. parameters solar activity were used as model input data, while precipitations data 10 days before each event output. time lag 0–9 was taken into account research. Correlation conducted determine degree randomness for series output parameters. For...
This research is devoted to determinate the causal relationship between flow of particles that are coming from Sun and emergence hurricanes Irma, Jose, Katia. Five parameters i.e. characteristics solar activity (Radio Flux 10.7, flows protons electrons with maximum energy, speed wind particles, density particles) were chosen as model input, while air pressure Katia used output. Input data sampled six hours interval in order adapt time observed about hurricanes, period 28 September 21...