Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons
The work examines the potential causative link between the flow of protons, i.e. temperature of the particles that are coming from the sun and forest fires in the USA. For determination of the degree of randomness for time series of input (temperature of protons) and output parameters (numb...
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VINCA Institute of Nuclear Sciences
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doaj-5859dcbcbe52452980e0649cb70972d52021-01-02T03:05:49ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632015-01-0119suppl. 243744410.2298/TSCI141103150R0354-98361400150RModelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protonsRadovanović Milan M.0Vyklyuk Yaroslav1Malinović-Milićević Slavica B.2Jakovljević Dejana M.3Pecelj Milovan R.4Serbian Academy of Sciences and Arts, Geographical Institute “Jovan Cvijić”, BelgradeBukovinian University, Chernivtsi, UkraineUniversity Center for Meteorology and Environmental Modelling, Novi SadSerbian Academy of Sciences and Arts, Geographical Institute “Jovan Cvijić”, BelgradeGeographical Faculty, BelgradeThe work examines the potential causative link between the flow of protons, i.e. temperature of the particles that are coming from the sun and forest fires in the USA. For determination of the degree of randomness for time series of input (temperature of protons) and output parameters (number of forest fires), the R/S analysis is conducted. The analysis of fractal dimension provides us an opportunity to compare self-similar processes in the influx of protons and the time series of forest fires flashes. Therefore we developed and conducted the sensitivity analysis of model based on hybrid neural networks ANFIS. As the calculations showed, only 16% of the real forest flashes cannot be predicted by the model. [Projekat Ministarstva nauke Republike Srbije, br. III 47007]http://www.doiserbia.nb.rs/img/doi/0354-9836/2015/0354-98361400150R.pdfforest firestemperature of protonsforecastANFIS modelsUSA |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Radovanović Milan M. Vyklyuk Yaroslav Malinović-Milićević Slavica B. Jakovljević Dejana M. Pecelj Milovan R. |
spellingShingle |
Radovanović Milan M. Vyklyuk Yaroslav Malinović-Milićević Slavica B. Jakovljević Dejana M. Pecelj Milovan R. Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons Thermal Science forest fires temperature of protons forecast ANFIS models USA |
author_facet |
Radovanović Milan M. Vyklyuk Yaroslav Malinović-Milićević Slavica B. Jakovljević Dejana M. Pecelj Milovan R. |
author_sort |
Radovanović Milan M. |
title |
Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons |
title_short |
Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons |
title_full |
Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons |
title_fullStr |
Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons |
title_full_unstemmed |
Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons |
title_sort |
modelling of forest fires time evolution in the usa on the basis of long term variations and dynamics of the temperature of the solar wind protons |
publisher |
VINCA Institute of Nuclear Sciences |
series |
Thermal Science |
issn |
0354-9836 2334-7163 |
publishDate |
2015-01-01 |
description |
The work examines the potential causative link between the flow of protons,
i.e. temperature of the particles that are coming from the sun and forest
fires in the USA. For determination of the degree of randomness for time
series of input (temperature of protons) and output parameters (number of
forest fires), the R/S analysis is conducted. The analysis of fractal
dimension provides us an opportunity to compare self-similar processes in the
influx of protons and the time series of forest fires flashes. Therefore we
developed and conducted the sensitivity analysis of model based on hybrid
neural networks ANFIS. As the calculations showed, only 16% of the real
forest flashes cannot be predicted by the model. [Projekat Ministarstva nauke
Republike Srbije, br. III 47007] |
topic |
forest fires temperature of protons forecast ANFIS models USA |
url |
http://www.doiserbia.nb.rs/img/doi/0354-9836/2015/0354-98361400150R.pdf |
work_keys_str_mv |
AT radovanovicmilanm modellingofforestfirestimeevolutionintheusaonthebasisoflongtermvariationsanddynamicsofthetemperatureofthesolarwindprotons AT vyklyukyaroslav modellingofforestfirestimeevolutionintheusaonthebasisoflongtermvariationsanddynamicsofthetemperatureofthesolarwindprotons AT malinovicmilicevicslavicab modellingofforestfirestimeevolutionintheusaonthebasisoflongtermvariationsanddynamicsofthetemperatureofthesolarwindprotons AT jakovljevicdejanam modellingofforestfirestimeevolutionintheusaonthebasisoflongtermvariationsanddynamicsofthetemperatureofthesolarwindprotons AT peceljmilovanr modellingofforestfirestimeevolutionintheusaonthebasisoflongtermvariationsanddynamicsofthetemperatureofthesolarwindprotons |
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