<abstract xmlns="http://www.w3.org/1999/xhtml">

The largest mountainous lake in Bosnia and Herzegovina, Lake Blidinje, is located 1,185 meters above sea level. Polymictic lakes are those in which the entire water column is frequently mixed. Shallow lakes function very differently than deep lakes in many ways because of the strong sediment– water interaction and the possibility for significant water impact on vegetation. In the multiple regression analysis, two models were developed with coefficients of multiple determination (R2 = 0.720 and R2 = 0.497) for the independent variable chlorophyll a. The resulting models are compared with water quality monitoring data from 2017 to 2019.
</abstract>

The largest mountainous lake in Bosnia and Herzegovina, Lake Blidinje, is located 1,185 meters above sea level. Polymictic lakes are those in which the entire water column is frequently mixed. Shallow lakes function very differently than deep lakes in many ways because of the strong sediment– water interaction and the possibility for significant water impact on vegetation. In the multiple regression analysis, two models were developed with coefficients of multiple determination (R2 = 0.720 and R2 = 0.497) for the independent variable chlorophyll a. The resulting models are compared with water quality monitoring data from 2017 to 2019.

Monitoring of the water quality of Lake Blidinje and examination of the prognostic model

Department of Chemistry, Faculty of Science and Education

Acta Universitatis Sapientiae, Agriculture and Environment

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The largest mountainous lake in Bosnia and Herzegovina, Lake Blidinje, is located 1,185 meters above sea level. Polymictic lakes are those in which the entire...

Monitoring of the water quality of Lake Blidinje and examination of the prognostic model

Online veröffentlicht: 13. Nov. 2023

Seitenbereich: 74 - 84

Eingereicht: 29. Mai 2023

Akzeptiert: 19. Juni 2023

DOI: https://doi.org/10.2478/ausae-2023-0007

Schlüsselwörter
physical-chemical indicators, multiple regression analysis

© 2023 Anita Ivanković et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Monitoring of the water quality of Lake Blidinje and examination of the prognostic model

Online veröffentlicht: 13. Nov. 2023

Seitenbereich: 74 - 84

Eingereicht: 29. Mai 2023

Akzeptiert: 19. Juni 2023

DOI: https://doi.org/10.2478/ausae-2023-0007

Schlüsselwörterphysical-chemical indicators, multiple regression analysis

© 2023 Anita Ivanković et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
physical-chemical indicators, multiple regression analysis