Research on Surface Water State for Rivers in Western Ukraine Using Time Series Forecasting Methods

This study presents a data-driven forecasting framework for surface water state trends using time-series modelling based on hydrochemical monitoring data from the Ikva River (Ukraine). The monitoring campaign, conducted between 2021 and 2023, involved monthly sampling of 19 hydrochemical indicators...

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Veröffentlicht in:	Water (Basel) Jg. 17; H. 21; S. 3148
Hauptverfasser:	Bytsyura, Leonid, Szczepanik-Scislo, Nina, Desyatnyuk, Oksana, Shakhovska, Natalya, Scislo, Lukasz, Sachenko, Anatoliy, Lototska, Olena, Shevchuk, Ihor, Sofinska, Oksana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 02.11.2025
Schlagworte:	Algorithms Artificial intelligence Climate change Environmental aspects Environmental monitoring Forecasts and trends Groundwater Infrastructure Management Methods Nitrogen Pollutants Risk assessment River networks Rivers Sewer systems Surface water Water Water pollution Water quality Water resources Water supply Ukraine
ISSN:	2073-4441, 2073-4441
Online-Zugang:	Volltext
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