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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>River water quality of major rivers in Slovenia in the context of climate change</dc:title><dc:creator>Krzyk,	Mario	(Avtor)
	</dc:creator><dc:creator>Radulović,	Lana	(Avtor)
	</dc:creator><dc:creator>Šraj,	Mojca	(Avtor)
	</dc:creator><dc:subject>climate change</dc:subject><dc:subject>water temperature</dc:subject><dc:subject>biochemical oxygen demand (BOD)</dc:subject><dc:subject>oxygen saturation</dc:subject><dc:subject>river water quality</dc:subject><dc:subject>statistical analysis</dc:subject><dc:subject>R software</dc:subject><dc:subject>sustainable river management</dc:subject><dc:subject>Slovenia</dc:subject><dc:description>Climate change affects surface water quality parameters, including river quality. This study analyses changes in climate parameters, specifically air temperature and solar radiation, and their impact on river water temperature. It also examines how changes in river water temperature and organic matter load affect oxygen saturation levels, a key indicator of river water quality. Using water quality data, the status as well as temporal and spatial trends of the analysed parameters were assessed for the period between 2007 and 2024 on the three largest Slovenian rivers: the Drava, Mura, and Sava. Relative importance analysis of temperature and biochemical oxygen demand (BOD) using the Random Forest machine learning method showed that water temperature in the analysed rivers has an impact ranging from 51% to 66% on predicting oxygen saturation. The selected approach to analysing watercourse quality parameters enables the assessment of the impact of these parameters on river water quality. Based on these results, it will be possible to implement appropriate measures promptly to achieve sustainable river management by establishing a strategy that, under climate change conditions, safeguards water quality and maintains ecosystem protection, ensuring long-term ecological and socio-economic benefits.</dc:description><dc:date>2026</dc:date><dc:date>2026-01-29 17:15:35</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>178708</dc:identifier><dc:identifier>UDK: 502/504:556.5(497.4)</dc:identifier><dc:identifier>ISSN pri članku: 2071-1050</dc:identifier><dc:identifier>DOI: 10.3390/su18031338</dc:identifier><dc:identifier>COBISS_ID: 266707715</dc:identifier><dc:language>sl</dc:language></metadata>
