2019
DOI: 10.1051/matecconf/201925209009
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Statistical analysis of the water pollution indicators pertaining to treated municipal sewage introduced to the river

Abstract: The assessment of the ratio of self-purification processes in the natural environment, including the water bodies of streams and rivers is possible by the means of the numerical modelling. Nonetheless, the reliability of results of the qualitative numerical calculations may be affected by the quality of the collected input data and efficiency of the model calibration. The commonly required input data include pollutants characteristics and coefficients for empirical equations of their transport and decay, while… Show more

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Cited by 3 publications
(2 citation statements)
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References 19 publications
(32 reference statements)
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“…Babko et al 2016;Pliashechnyk et al 2018, Majerek et al 2019, then there are much fewer works related to the impact of stormwater runoffs.Bioindication was conducted against the background of water quality assessment using chemical indicators such as BOD 5 and COD. In the literature, there is a some of works relating to the assessment of water quality in the Bystrzyca river within the city of LublinGrzywna et al 2016;Gorzel et al 2018].…”
mentioning
confidence: 99%
“…Babko et al 2016;Pliashechnyk et al 2018, Majerek et al 2019, then there are much fewer works related to the impact of stormwater runoffs.Bioindication was conducted against the background of water quality assessment using chemical indicators such as BOD 5 and COD. In the literature, there is a some of works relating to the assessment of water quality in the Bystrzyca river within the city of LublinGrzywna et al 2016;Gorzel et al 2018].…”
mentioning
confidence: 99%
“…However, not only MSTs represent the statistical studies for waters, especially surface waters. Many other statistical methods and models can be remarkably cited in this kind of analysis, as in the papers of Mohammed et al [19], Bărbulescu et al [20], Schreiber et al [21], Kovrov et al [22], Antonopoulos et al [23], Majerek et al [24], Stričević et al [25], Khouri et al [26], Bhat et al [27], and Le et al [28].…”
Section: Introductionmentioning
confidence: 99%