Statistical Analysis of Wastewater at Panjapur, Trichy

IF 1.1 Q3 ENGINEERING, CIVIL Civil and Environmental Engineering Pub Date : 2023-12-01 DOI:10.2478/cee-2023-0045
S. Pratheba, N. Balasundaram, P. Krishna Prasanna, Nagarathinam Lingeshwaran
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Abstract

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.
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特里奇潘贾布尔废水统计分析
摘要 本研究旨在了解经过处理的废水的质量指标,并对特里奇市潘贾普尔污水处理厂收集的各种样本进行了统计分析。本研究对污水废水的理化参数进行了统计分析。利用理化分析数据分析了两个不同月份的近二十个参数。建立了连续废水水质指数 (CWWQI),以衡量经处理废水的总体水质状况。考虑到之前设定的水质限制标准,该指数将大量测量到的水质特征浓缩为一个水质术语。为确定处理工艺的性能,采用主成分分析法(PCA)确定变量之间的相互依存关系。本研究通过因子分析来确定污染及其类型。本研究讨论的方法和途径为评估废水处理监测计划提供了一个框架。
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来源期刊
CiteScore
2.00
自引率
58.30%
发文量
69
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