<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study is carried out to find wastewater quality index in treated wastewater, and Statistical analysis was done in various collected samples in sewage treatment plant, Panjappur, Trichy. This study presents a Statistical analysis of the physicochemical parameters of sewage wastewater. Nearly twenty parameters of two different months were analysed using data from physico -chemical analyses. A Continuous Waste Water Quality Index (CWWQI) was established to gauge the overall state of treated wastewater quality. By taking into account previously set quality limitation norms, the index condenses a substantial number of measured quality characteristics into a single water quality term. To identify treatment process performance, the interdependencies between the variables were determined by using Principal Component Analysis (PCA). This study presents Factor analysis to identify the pollution and its type. The methods and approaches discussed in this study offer a framework for evaluating the monitoring programme for wastewater treatment.</p>
</abstract>

This study is carried out to find wastewater quality index in treated wastewater, and Statistical analysis was done in various collected samples in sewage treatment plant, Panjappur, Trichy. This study presents a Statistical analysis of the physicochemical parameters of sewage wastewater. Nearly twenty parameters of two different months were analysed using data from physico -chemical analyses. A Continuous Waste Water Quality Index (CWWQI) was established to gauge the overall state of treated wastewater quality. By taking into account previously set quality limitation norms, the index condenses a substantial number of measured quality characteristics into a single water quality term. To identify treatment process performance, the interdependencies between the variables were determined by using Principal Component Analysis (PCA). This study presents Factor analysis to identify the pollution and its type. The methods and approaches discussed in this study offer a framework for evaluating the monitoring programme for wastewater treatment.

Statistical Analysis of Wastewater at Panjapur, Trichy

Civil and Environmental Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Statistical Analysis of Wastewater at Panjapur, Trichy"}

This study is carried out to find wastewater quality index in treated wastewater, and Statistical analysis was done in various collected samples in sewage...

Statistical Analysis of Wastewater at Panjapur, Trichy

Online veröffentlicht: 19. Dez. 2023

Seitenbereich: 501 - 510

DOI: https://doi.org/10.2478/cee-2023-0045

Schlüsselwörter
Waste water quality index, Statistical analysis, Factor analysis, PCA principal component analysis, Correlation matrix

© 2023 Sukumar Pratheba et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Statistical Analysis of Wastewater at Panjapur, Trichy

Online veröffentlicht: 19. Dez. 2023

Seitenbereich: 501 - 510

DOI: https://doi.org/10.2478/cee-2023-0045

SchlüsselwörterWaste water quality index, Statistical analysis, Factor analysis, PCA principal component analysis, Correlation matrix

© 2023 Sukumar Pratheba et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Waste water quality index, Statistical analysis, Factor analysis, PCA principal component analysis, Correlation matrix