dc.contributor.author | Бачевић, Никола | |
dc.contributor.author | Милентијевић, Никола | |
dc.contributor.author | Ваљаревић, Александар | |
dc.contributor.author | Гицић, Ајша | |
dc.contributor.author | Кићовић, Душан | |
dc.contributor.author | Радаковић, Милица | |
dc.contributor.author | Николић, Милена | |
dc.contributor.author | Пантелић, Милана | |
dc.date.accessioned | 2022-10-21T08:33:32Z | |
dc.date.available | 2022-10-21T08:33:32Z | |
dc.date.issued | 2021-06-20 | |
dc.identifier.citation | ИИИ43007 "Истраживање климатских промена и њихових утицаја на животну средину – праћење утицаја, адаптација и ублажавање" | en_US |
dc.identifier.uri | https://platon.pr.ac.rs/handle/123456789/760 | |
dc.description.abstract | The paper presents trends for three categories of variables: average annual, average maximum and average minimum air temperatures. Data was provided by the meteorological yearbooks of the Republic Hydrometeorological Service of Serbia. The main goal of this paper is to detect possible temperature trends in Central Serbia. The trend equation, trend magnitude, and Mann-Kendall non-parametric test were used in the analysis of climate parameters. The used statistical methods were supplemented by GIS numerical analysis, which aimed to analyze the spatial distribution of isotherms from 1949 to 2018. The obtained results indicate that out of the 72 analyzed time series, an increase in air temperature is dominant in 61 time series, while 11 time series show no changes. The highest increase was recorded in the average maximum time series (4.2 °C), followed by an increase of 3.5°C in average maximum air temperatures. The highest increase in the average annual time-series was 3.0 °C. The lowest increases in air temperature were recorded in the average minimum time series (0.1 and 0.2 °C). In two average minimum time series a decrease in average air temperatures was identified (-0.6 and -0.4 °C. The application of GIS tools indicates the existence of interregional differences in the arrangement of isotherms, leaded by the orography of the terrain. In the spatial distribution of the analyzed variables, "poles of heat" and "poles of cold" stand out, and the influence of the urban heat island is evident (especially in the case of the urban agglomeration of Belgrade). The manifested spatial patterns of air temperature need to be further examined and the correlation with possible causes need to be determined. For these reasons, the paper provides a solid basis for studying the climate of this area in the future, as it provides insight into climate dynamics over the past decades. | en_US |
dc.language.iso | en_US | en_US |
dc.rights | CC0 1.0 Универзална | * |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.title | Spatio-temporal variabilty of air temperatures in Central Serbia from 1949 to 2018 | en_US |
dc.title.alternative | Idȍjárás-Quarterly Journal of the Hungarian Meteorological Service | en_US |
dc.type | clanak-u-casopisu | en_US |
dc.description.version | publishedVersion | en_US |
dc.identifier.doi | http://dx.doi.org/10.28974/idojaras.2021.2.4 | |
dc.citation.volume | 125 | |
dc.citation.issue | 2 | |
dc.citation.spage | 229 | |
dc.citation.epage | 253 | |
dc.subject.keywords | variability | en_US |
dc.subject.keywords | climate change | en_US |
dc.subject.keywords | air temperature trends | en_US |
dc.subject.keywords | Mann-Kendall trend test | en_US |
dc.subject.keywords | GIS numerical analysis | en_US |
dc.subject.keywords | isotherms | en_US |
dc.subject.keywords | Central Serbia | en_US |
dc.type.mCategory | M23 | en_US |
dc.type.mCategory | openAccess | en_US |
dc.type.mCategory | M23 | en_US |
dc.type.mCategory | openAccess | en_US |