Application of chemometrics in monitoring of spatial and temporal variations in river water quality and water classification

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (245-248)

АУТОР(И) / AUTHOR(S): Dragana Z. Živojinović, Dušan V. Trajković, Jelena D. Božović

Е-АДРЕСА / E-MAIL:  gaga@tmf.bg.ac.rs 

Download Full Pdf   

DOI: 10.46793/ICCBI23.245Z

САЖЕТАК / ABSTRACT:

The Topčiderska River is the right tributary of the Sava River, with the length of its course of 31 km, and the catchment area of about 147 km2 . It represents one of the most polluted urban waters in the territory of the Republic of Serbia. Soil erosion, as well as the discharge of wastewater from certain parts of the city and from industrial zones located in its catchment, to the greatest extent cause the pollution of this river. Within this work, representative samples of Topčiderka River water sampled in different time periods and from different locations were analyzed. Over ten physico-chemical parameters were selected that best indicate the current quality of the river water. The obtained measurement results were subjected to chemometric analysis, using chemometric methods (HCA and PCA). Water quality was analyzed from two aspects, temporal and locational. Based on the results of statistical data processing, insight was gained into the variation in the water quality of the Topčiderska River and the causes of the resulting variation were revealed. Based on these conclusions, the water of this river was classified in accordance with the Regulation on limit values of pollutants in surface and underground waters and the Regulation on water classification. The obtained results show that the water of the Topčiderska River is highly polluted, and that according to the degree of pollution and purpose, it is classified as IV class. 

 

КЉУЧНЕ РЕЧИ / KEYWORDS:

Topčiderska River, pollution, chemometric methods, classification

ЛИТЕРАТУРА / REFERENCES:

  • Закон о водама („Службени Гласник РС“, бр. 30/10 и 93/12)
  • P.R. Kannel, S. Lee, S.R. Kanel, S.P. Khan, Chemometric application in classification and assessment of monitoring locations of an urban river system, Analytica Chimica Acta 582 (2007) 390–399
  • S. Shrestha, F. Kazama, Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan, Environmental Modelling and Software 22 (2007) 464–475