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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=163206"><dc:title>Different development of global warming (GW) and urban heat island (UHI) in the city of Zagreb</dc:title><dc:creator>Bonacci,	Ognjen	(Avtor)
	</dc:creator><dc:creator>Vrsalović,	Adrijana	(Avtor)
	</dc:creator><dc:creator>Roje-Bonacci,	Tanja	(Avtor)
	</dc:creator><dc:subject>global warming</dc:subject><dc:subject>urban heat island</dc:subject><dc:subject>air temperature trend</dc:subject><dc:subject>day-to-day air temperature variability</dc:subject><dc:subject>diurnal air temperature range</dc:subject><dc:subject>Zagreb City</dc:subject><dc:description>The analysis examines various impacts of global warming (GW) and urban heat island (UHI) effects at four
meteorological stations in and around Zagreb, Croatia, spanning from 1981 to 2021. The goal was to determine
the intensity and causes of the different warming tendencies and behaviour of air temperature variations
observed in various parts of Zagreb. Data from four meteorological stations were analysed: Grič (GR) – a hill
within the city area, Maksimir (MA) – an urbanized suburban area, Pleso (PL) – a suburban area unaffected
by intense urbanization (airport), and Puntijarka (PU) – atop of Mt. Medvednica. Various statistical methods
were applied to analyse trends and variations in annual, monthly, and daily air temperature indices (ATI),
including linear regression, the Mann–Kendall test, the day-to-day variability method (DTD), and diurnal air
temperature range (DTR) method. All stations showed increasing trends in all ATI. At the PU station, the trend
is solely due to GW; at others, both UHI and GW contribute. The MA station exhibits the most pronounced
UHI. DTD variability decreases at all stations. GR sees an increasing DTR trend, while PU's trend is
decreasing. No DTR trends were observed at the other two stations. Overall, ATI variations are similar, but
each location's behaviour differs due to its unique local environment.</dc:description><dc:date>2023</dc:date><dc:date>2024-10-04 11:56:51</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>163206</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
