Impact assessment of wastewater on water quality using new quality indices and multiple linear regression

The Wastewater Quality Index (WWQI) is a unique measure that synthesizes the overall quality of wastewater. The main objective of the study was to evaluate whether the quality of wastewater reaching the treatment plant is suitable for optimal disposal using the WWQI approach. To understand the correlation between the determined indicators, Pearson correlation coefficients were calculated, so that the results of the analyses reflect the overall quality of the evaluated wastewater. Additionally, statistical analysis was employed to develop a simple prediction model through multiple linear regression (MLR) to predict WWQI based on various wastewater quality parameters. The results indicate good and regular quality of treated wastewater for safe disposal, according to the classification of WWQI levels, and the prediction model yielded values similar to those estimated.

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Publication Details

Journal
Romanian Journal of Ecology & Environmental Chemistry
Published
2024-12-23
DOI
https://doi.org/10.21698/rjeec.2024.214
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
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article

Impact assessment of wastewater on water quality using new quality indices and multiple linear regression

Daniel Rudaru, Florinela Pirvu, Anda-Gabriela Tenea, Florentina Laura Chiriac et al.
Romanian Journal of Ecology & Environmental Chemistry
Water Quality and Pollution Assessment
article

Impact assessment of wastewater on water quality using new quality indices and multiple linear regression

Daniel Rudaru, Florinela Pirvu, Anda-Gabriela Tenea, Florentina Laura Chiriac, Nicoleta Vasilache, Iuliana Păun, Marcela Niculescu, Vasile Iancu
article en

Abstract

The Wastewater Quality Index (WWQI) is a unique measure that synthesizes the overall quality of wastewater. The main objective of the study was to evaluate whether the quality of wastewater reaching the treatment plant is suitable for optimal disposal using the WWQI approach. To understand the correlation between the determined indicators, Pearson correlation coefficients were calculated, so that the results of the analyses reflect the overall quality of the evaluated wastewater. Additionally, statistical analysis was employed to develop a simple prediction model through multiple linear regression (MLR) to predict WWQI based on various wastewater quality parameters. The results indicate good and regular quality of treated wastewater for safe disposal, according to the classification of WWQI levels, and the prediction model yielded values similar to those estimated.

Romanian Journal of Ecology & Environmental ChemistryVol. 6(2)
Openalex Percentile: Top 75%
Water Quality and Pollution Assessment
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