Skip to main content
Log in

Statistical Analysis of Water Quality Parameters in Seven Major Serbian Rivers during 2004‒2013 Period

  • Hydrochemistry, Hydrobiology: Environmental Aspects
  • Published:
Water Resources Aims and scope Submit manuscript

Abstract

Rivers on territory of the Republic of Serbia can be separated to three sea drainage basins: Black, Adriatic and Aegean. Majority of rivers belong to the Black Sea drainage basin. The Danube is the most important river in Serbia and one of the most important rivers of Europe. All rivers investigated in this paper represent direct or indirect tributaries of the Danube River and as that, they are belonging to the Black Sea drainage basin. In this study, the water quality status and the spatial and temporal trends of seven major rivers in Serbia were assessed through the application of ten parameters of Water Quality Index. Ten year (2004–2013) public database of environmental data was used. Into considerations were taken differences between every river individually and difference between sample positions on every single river. Based on the chemical parameters of water quality, it can be seen that the biggest rivers in Serbia show different values of WQ parameters. The highest WQ value is measured on the Drina River, while the lowest value is measured on the Južna Morava and the Tisza River. Analyses of parameters per period of year show that there is a statistically significant difference between values during warm and cold periods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Babovic, N., Markovic, D., Dimitrijevic, V., and Markovic, D., Some indicators of water quality of the Tamiš river, Chem. Ind. Chem. Eng. Q., 2011, vol. 17, no. 1, pp. 107–115.

    Article  Google Scholar 

  2. Banha, F. and Anastácio, P.M., Interactions between invasive crayfish and native river shrimp, Knowl. Manag. Aquat. Ecosyst., 2011, no. 401, p. 17.

    Article  Google Scholar 

  3. Beamonte Córdoba, E., Casino Martínez, A., and Veres Ferrer, E., Water quality indicators: Comparison of a probabilistic index and a general quality index. The case of the Confederación Hidrográfica del Júcar (Spain), Ecol. Indic., 2010, vol. 10, no. 5, pp. 1049–1054.

    Article  Google Scholar 

  4. Bjelajac, D., Leščešen, I., Micić, T., and Pantelić, M., Estimation of water quality of Sava River (Vojvodina, Serbia) in the period 2004−2011 using Serbian Water Quality Index (SWQI), Geogr. Panon., 2013, vol. 17, no. 4, pp. 91–97.

    Google Scholar 

  5. Borisavljevic, A. and Kostadinov, S., Integrated river basin management of Juzna Morava River, Bull. Serbian Geograph. Soci., 2012, vol. 92, no. 1, pp. 135–160.

    Article  Google Scholar 

  6. Chang, N.B., Chen, H.W., and Ning, S.K., Identification of river water quality using the fuzzy synthetic evaluation approach, J. Environ. Manag., 2001, vol. 63, no. 3, pp. 293–305.

    Article  Google Scholar 

  7. Dalmacija, B. and Tumbas-Ivančev, I., Water analysis— quality control, results interpretation, Novi Sad: Faculty of Sciences, Department of Chemistry, 2004.

    Google Scholar 

  8. Ferencz, L. and Balog A., A pesticide survey in soil, water and foodstuffs from Central Romania, Carpathian J. Earth Environ. Sci., 2010, vol. 5, no. 1, pp. 111–118.

    Google Scholar 

  9. Gavrilović, Lj. and Dukić, D., Reke Srbije, Beograd: Zavod za udžbenike i nastavna sredstva, 2002.

    Google Scholar 

  10. Gong, D., Gao, X., Ntakirutimana, T., Guo, J., and Li, K., Water quality status along the Liangtan River and control planning alternatives for pollution reduction, Polish J. Environ. Stud., 2013, vol. 22, no. 4, pp. 1061–1067.

    Google Scholar 

  11. Gurzau, A.E., Popovici, E., Pintea, A., Popa, O., and Dumitrascu, I., Quality of surface water sources from a central Transylvanian area as a possible problem for human security and public health, Carpathian J. Earth Environ. Sci., 2010, vol. 5, no. 2, pp. 119–126.

    Google Scholar 

  12. http://www.epa.ie/pubs/reports/water/waterqua/iwqmolou/App%207.pdf.

  13. https://statistics.laerd.com/spss-tutorials/independentt-test-using-spss-statistics.php.

  14. Karadavut, İ.S., Saydam, A.C., Kalipci, E., Karadavut, S., and Özdemir, C., A research for water pollution of melendiz stream in terms of sustainability of ecological balance, Carpathian J. Earth Environ. Sci., 2011, vol. 6, no. 1, pp. 65–80.

    Google Scholar 

  15. Leščešen, I., Kotrla, S., Otašević, K., Pantelić, M., Josimov, A., and Čeperković, M., Assesment of water quality parametres of Drina River (West Serbia) in the period 2004‒2011, Eur. Res., 2013, vol. 61, nos. 10‒12, pp. 2555–2562.

    Google Scholar 

  16. Leščešen, I., Pantelić, M., Dolinaj, D., Stojanović, V., and Milošević, D., Statistical analysis of water quality parameters of the Drina River (West Serbia), 2004, Polish J. Environ. Stud., 2015, vol. 24, no. 2, pp. 555–561.

    Google Scholar 

  17. Maguire, I. and Klobučar, G., Size structure, maturity size, growth and condition index of stone crayfish (Austropotamobius torrentium) in North-West Croatia, Knowl. Manag. Aquat. Ecosyst., 2011, no. 401, p. 12.

    Article  Google Scholar 

  18. Miccoli, F.P., Lombardo, P., and Cicolani, B., Indicator value of lotic water mites (Acari: Hydrachnidia) and their use in macroinvertebrate-based indices for water quality assessment purposes, Knowl. Manag. Aquat. Ecosyst., 2013, no. 411, p. 08.

    Article  Google Scholar 

  19. Ntakirutimana, T., Du, G., Guo, J., Gao, X., and Huang, L., Pollution and potential ecological risk assessment of heavy metals in a lake, Pol. J. Environ. Stud., 2013, vol. 22, no. 4, pp. 1129–1134.

    Google Scholar 

  20. Ocokoljić, M., Milijašević, D., and Milanović, A., Rivers classification of Serbia according to their pollutions degree, Collect. Pap.—Fac. Geogr. Univ. Belgrade, 2009, vol. LVII.

    Google Scholar 

  21. Paillisson, J.-M., Soudieux, A., and Damien, J.-P, Capture efficiency and size selectivity of sampling gears targeting red-swamp crayfish in several freshwater habitats, Knowl. Manag. Aquat. Ecosyst., 2011, no. 401, p. 06.

    Article  Google Scholar 

  22. Pantelić, M., Dolinaj, D., Savić, S., Stojanović, V., and Nađ, I., Statistical analysis of water quality parameters of Veliki bački canal (Vojvodina, Serbia) in the period 2000‒2009, Carpathian J. Earth Environ. Sci., 2012, vol. 7, no. 2, pp. 255–264.

    Google Scholar 

  23. Pantelić, M., Đurđev, B., Stankov, U., Dragićević, V., and Dolinaj, D., Water quality as an indicator of local residents’ attitudes towards tourism development: A case study of settlements along Veliki Bački Kanal, Vojvodina, Serbia, Knowl. Manag. Aquat. Ecosyst., 2012, no. 404, p. 09.

    Article  Google Scholar 

  24. Pârvulescu, L., Pacioglu, O., and Hamchevici, C., The assessment of the habitat and water quality requirements of the stone crayfish (Austropotamobius torrentium) and noble crayfish (Astacus astacus) species in the rivers from the Anina Mountains (SW Romania), Knowl. Manag. Aquat. Ecosyst., 2011, no. 401, p. 03.

    Article  Google Scholar 

  25. Pavić, D., Mesaroš, M., and Živanović, N., Zagađenost i kvalitet vode reke Tise u Srbiji, Zbornik radova‒Geografski fakultet Univerziteta u Beogradu, 2010, vol. LVIII, no. 282, pp. 47–62.

    Google Scholar 

  26. Petz, B., Basic Statistical Methods for Non-Mathematicians, CRO, Zagreb: Liber, 1981.

    Google Scholar 

  27. Srebotnjak, T., Carr, G., de Sherbinin, A., and Rickwood, C., A global Water Quality Index and hot-deck imputation of missing data, Ecol. Indic., 2012, vol. 17, pp. 108–119.

    Article  Google Scholar 

  28. Stojković, M., Basics of medical statistics, Serbia, Ćuprija: High medical school, 2003.

    Google Scholar 

  29. Turjančanin, V. and Čekrlija, Đ., Basic Statistical methods and techniques in SPSS—Application of SPSS in human sciences, BiH, Banjaluka: Centar za kulturni i socijalni popravak, 2006.

    Google Scholar 

  30. United Nations resolution adopted by the General Assembly, United Nations Millennium Declaration, 2000, no. 55/2.

  31. Veljković, N.D. and Jovičić, M.M., Decoupling environmental impacts from industrial growth: case study for South Morava River basin, Hem. Ind., 2015, vol. 69, no. 5, pp. 493–502.

    Article  Google Scholar 

  32. Xiaolong, W., Jingyi, H., Ligang, X., and Qi, Z., Spatial and seasonal variations of the contamination within water body of the Grand Canal, China, Environ. Pollut., 2010, vol. 158, no. 5, pp. 1513–1520.

    Article  Google Scholar 

  33. Yunus, A.J.M. and Nakagoshi, N., Effects of seasonality on streamflow and water quality of the Pinang River in Penang Island, Malaysia, Chinese Geogr. Sci., 2004, vol. 14, no. 2, pp. 153–161.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dragan Dolinaj.

Additional information

The article is published in the original.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Leščešen, I., Dolinaj, D., Pantelić, M. et al. Statistical Analysis of Water Quality Parameters in Seven Major Serbian Rivers during 2004‒2013 Period. Water Resour 45, 418–426 (2018). https://doi.org/10.1134/S0097807818030089

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0097807818030089

Keywords

Navigation