Ivana Mladenović-Ranisavljević, Ljiljana Takić, Goran Babić, Milovan Vuković, Marija Stojanović Krasić

DOI Number
First page
Last page


The paper analyzes the values of selected parameters of SM, OS, pH, NH4-N, POP4-P, and BOD-5 at measuring points of Martonoš, Novi Bečej, Titel, Hetin, Bačko Gradište and Bački Breg in order to identify locations with potential sources of pollution in the Tisa River basin in Serbia. The interdependence between the locations and the observed most influential parameters of water pollution indicators was analyzed using one-way analysis of variance (ANOVA), followed by a posthoc Tukey-Kramer test to learn more about statistically significant different values of parameters at the observed locations. The results of the applied statistical analysis and post-hoc test show a significant difference in values of parameters NH4-N, BOD-5 and PO4-P at the location of Bačko Gradište, identifying it as a location with potential sources of pollution, where additional measures must be taken to protect and prevent pollution of watercourses in this part of the Tisa River Basin as an integral part of the environment.


Tisa River basin, sources of pollution, ANOVA

Full Text:



Josimov Dunderski, J., Savic, R., Grabic, J., Blagojevic, B. Water quality trends of the Tisa River along its flow through Serbia. Annu. Set Environ. Prot. Rocz. Ochr. Sr. 19, 17–35, 2017.

Tanos P., Kovács J., Kovács S., Anda A., Hatvani I.G. Optimization of the monitoring network on the River Tisza (Central Europe, Hungary) using combined cluster and discriminant analysis, taking seasonality into account. Environmental Monitoring and Assessment 187, 575, 2015.

Nádudvari A., Czajka A. Statistical calculations of the Tisza River Channel changes along Vezsney and Martfü (Hungary) from 1873-2010. Carpathian Journal of Earth and Environmental Sciences 9 (2), 57, 2014.

Monica, N., Choi, K. Temporal and spatial analysis of water quality in Saemangeum watershed using multivariate statistical techniques. Paddy Water. Environ. 14, 3–17, 2016.

Garizi, A.Z., Sheikh, V., Sadoddin, A. Assessment of seasonal variations of chemical characteristics in surface water using multivariate statistical methods. Int. J. Environ. Sci. Technol. 8, 581–592, 2011.

Unda-Calvo, J., Ruiz-Romera, E., Martínez-Santos, M., Vidal M., Antigüedad, I. Multivariate statistical analyses for water and sediment quality index development: A study of susceptibility in an urban river. Sci. Total. Environ. 711, 135026, 2020.

Kamble, S.R., Vijay, R. Assessment of water-quality using cluster analysis in coastal region of Mumbai, India. Environ. Monit. Assess. 187, 321–332, 2011.

Uncumusaoglu, A.A., Mutlu, E. Evaluating spatial and temporal variation in Tuzaklı pond water using multivariate statistical analysis. Pol. J. Environ. Stud. 28, 3861, 2019.

Babic, G., Vukovic, M., Voza, D., Takic, Lj., Mladenovic-Ranisavljevic, I. Assessing surface water quality in the Serbian part of the Tisa River basin. Pol. J. Environ. Stud. 28, 4073–4085, 2019.

Tukey, J. W. Comparing Individual Means in the Analysis of Variance. Biometrics, 5(2), 99–114, 1949.



  • There are currently no refbacks.

ISSN   0354-804X (Print)

ISSN   2406-0534 (Online)