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Homogenization and temperature trends of water in the Belá River basin.

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Title: Homogenization and temperature trends of water in the Belá River basin.
Authors: BAJTEK, Zbyněk, PEKÁROVÁ, Pavla, MIKLÁNEK, Pavol, JENEIOVÁ, Katarína
Source: Acta Hydrologica Slovaca; 2024, Vol. 25 Issue 2, p202-210, 9p
Subject Terms: MACHINE learning, WATER, GROUNDWATER, WATER temperature, MULTIPLE regression analysis, WATER quality, CLIMATE change, REGRESSION analysis, WATERSHEDS
Abstract: Environmental objectives are set to ensure the achievement of good surface water and groundwater status in the EU and to prevent water status from deteriorating at Community level. Verification of the achievement of environmental objectives is part of the assessment systems in place, which also have surface water quality as an objective. Physicochemical indicators, including water temperature, are also included in the assessment systems used to assess ecological status/potential. In order to study the variability and trends in river water temperature and the effects of climate change, high quality and long term data series are needed. This paper presents the methods, corrections and homogenisation of the water temperature series of the Belá River from 1956 to 2020. The paper focuses on homogenisation, statistical analysis and evaluation of trend development of daily water temperature values measured at two stations (Podbanské and Liptovský Hrádok) in the high mountain basin of the Belá River. Two approaches to homogenise the data, namely the multiple regression model and the H2O ML algorithm, are compared with each other. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:Environmental objectives are set to ensure the achievement of good surface water and groundwater status in the EU and to prevent water status from deteriorating at Community level. Verification of the achievement of environmental objectives is part of the assessment systems in place, which also have surface water quality as an objective. Physicochemical indicators, including water temperature, are also included in the assessment systems used to assess ecological status/potential. In order to study the variability and trends in river water temperature and the effects of climate change, high quality and long term data series are needed. This paper presents the methods, corrections and homogenisation of the water temperature series of the Belá River from 1956 to 2020. The paper focuses on homogenisation, statistical analysis and evaluation of trend development of daily water temperature values measured at two stations (Podbanské and Liptovský Hrádok) in the high mountain basin of the Belá River. Two approaches to homogenise the data, namely the multiple regression model and the H2O ML algorithm, are compared with each other. [ABSTRACT FROM AUTHOR]
ISSN:26444690
DOI:10.31577/ahs-2024-0025.02.0022