Effect of Parametric Uncertainty of Selected Classification Models and Simulations of Wastewater Quality Indicators on Predicting the Sludge Volume Index

Krzysztof Chmielowski , Dawid Bedla , Ewa Dacewicz , Lubos Jurik

Abstract

This article presents a method for assessing the impact of the predictive uncertainty of selected wastewater quality indicators and the parametric uncertainty of classification models on the forecast results of simulating activated sludge sedimentation using classification models. The data for the calculations were obtained from monitoring carried out at a municipal wastewater treatment plant with a capacity of 72,000 m3/d1, located in the Sitkówka-Nowiny commune. The treatment plant receives wastewater, mostly from Kielce city. In the article the possibility of modeling the sedimentation of activated sludge at a wastewater treatment plant using logistic regression and Gompertz models was presented. The included values of the variables (i.e., sewage quality indicators) have been predicted by black-box methods (support vectors and k-nearest neighbor). This approach can be used to improve the operational efficiency of the bioreactor when continuous measurements of sewage quality are not available.
Author Krzysztof Chmielowski (FoEEaLS / DoSEaWM)
Krzysztof Chmielowski,,
- Department of Sanitary Engineering and Water Management
, Dawid Bedla (FoEEaLS / DoECaAP)
Dawid Bedla,,
- Department of Ecology, Climatology and Air Protection
, Ewa Dacewicz (FoEEaLS / DoSEaWM)
Ewa Dacewicz,,
- Department of Sanitary Engineering and Water Management
, Lubos Jurik
Lubos Jurik,,
-
Journal seriesPolish Journal of Environmental Studies, ISSN 1230-1485, e-ISSN 2083-5906, (N/A 40 pkt)
Issue year2020
Vol29
No2
Pages1-10
Publication size in sheets0.5
Keywords in Englishsludge volume index, wastewater, simulations
ASJC Classification2300 General Environmental Science; 2304 Environmental Chemistry
DOIDOI:10.15244/pjoes/99902
URL http://www.pjoes.com/pdf-99902-43219?filename=Effect%20of%20Parametric.pdf
Internal identifierWIŚIG/2020/4
Languageen angielski
Score (nominal)40
Score sourcejournalList
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.631; WoS Impact Factor: 2018 = 1.186 (2) - 2018=1.3 (5)
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