Modelling river temperature from air temperature: case of the River Drava (Croatia) (CROSBI ID 207614)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Rabi, Anamarija ; Hadzima-Nyarko, Marijana ; Šperac, Marija
engleski
Modelling river temperature from air temperature: case of the River Drava (Croatia)
Measurements made in the past few decades undeniably indicate climate change. The most visible sign of global climate change is air temperature, while less visible indicators include changes in river water temperatures. Changes in river temperature can significantly affect the environment, primarily the biosphere. The physical, biological and chemical characteristics of the river are directly affected by water temperature. The estimation of this relationship presents a complex problem. Although river temperature is influenced by hydrological and meteorological factors, the purpose of this study is to model daily water temperature using only one known parameter – mean air temperature. The relationship between the daily mean air and daily water temperature of the River Drava is analysed using linear regression, stochastic modelling or nonlinear regression and multilayer perceptron (MLP) feed-forward neural networks. The results indicate that the MLP models are much better models and they can be used for the estimation and prediction of daily mean river temperature.
air temperature; river temperature; multilayer feed-forward artificial neural
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Podaci o izdanju
60 (9)
2015.
1490-1507
objavljeno
0262-6667
10.1080/02626667.2014.914215