@ARTICLE{Mazierski_Jerzy_Impact_2021,
 author={Mazierski, Jerzy and Kostecki, Maciej},
 volume={vol. 47},
 number={No 2},
 pages={29-46},
 journal={Archives of Environmental Protection},
 howpublished={online},
 year={2021},
 publisher={Polish Academy of Sciences},
 abstract={The purpose of the work was to determine the relationship between the of the water quality parameters in an artificial reservoir used as cooling ponds. Multivariate methods, cluster analysis and factor analysis were applied to analyze eighteen physico-chemical parameters such as air and water temperature, dissolved oxygen concentration, visibility of the Secchi disk, concentrations of total nitrogen, ammonium, nitrate, nitrite, total phosphorus, phosphate, concentrations of calcium, magnesium, chlorides, sulfates and total dissolved salts, pH, chemical oxygen demand and electric conductivity from 2002-2017 to investigated cooling water discharge. Hierarchical cluster analysis (CA) allowed identified five different clusters that reflect the different water quality characteristics of the water system. Similar results were obtained in exploratory factor analysis, five factors were obtained with 65.96% total variance. However, confirmatory factor analysis showed that four latent variables: salinity, temperature, eutrophication, and ammonia provide better fit to the data than a five-factor structure. Correlations between latent variables temperature, eutrophication and ammonia show a significant effect of temperature on the transformation of nitrogen and phosphorus compounds.},
 type={Article},
 title={Impact of the heated water discharge on the water quality in a shallow lowland dam reservoir},
 URL={http://ochroma.man.poznan.pl/Content/119726/PDF/Archives%20vol%2047_2pp29_46.pdf},
 doi={10.24425/aep.2021.137276},
 keywords={water quality, Factor analysis, hierarchical cluster analysis, multivariate statistical analysis},
}