Comparative study of water quality between upstream and downstream of Thamirabarani River using multivariate statistical tools

A. Anuja S., Kavitha P., M. Hency P., H. Jothi C., J. Rose R.
{"title":"Comparative study of water quality between upstream and downstream of Thamirabarani River using multivariate statistical tools","authors":"A. Anuja S., Kavitha P., M. Hency P., H. Jothi C., J. Rose R.","doi":"10.5897/sre2023.6774","DOIUrl":null,"url":null,"abstract":"The present investigations were focused on the systematic analysis of surface water quality of the Thamirabarani River from upstream (Pechiparai dam to Gnaramvilai) to downstream (Vettuvenni to Thengaipattinam estuary) during the period from September 2020 to January 2021. The different hydrochemical parameters such as temperature, pH, EC, TDS, fluoride, turbidity, nitrate, phosphate, sulphate, chloride, calcium, magnesium, total hardness, DO, BOD, bicarbonate, carbonate, sodium and potassium were determined upstream (S1-S5) and downstream (S6-S10) of the river water samples. The results showed that the weighted Arithmetic Water Quality Index (WAWQI) values designated two sampling stations out of ten sampling stations ‘Good’ category and another eight sampling stations ‘poor - unsuitable’ category. The results obtained were subjected to multivariate statistical analysis using Correlation matrix the significant relationship among the parameters (significance level with 0.01 and 0.05) PCA and Cluster was also calculated to determine the high pollution loads in the water sample. The mean values of the respective major ions determined are represented in the Schoeller- Berkaloff diagram. From this study the water quality was severely polluted both upstream and downstream region the water quality index and multivariate techniques can be employed for monitoring river resources which can help inadequate planning and management of the Thamirabarani river system. Key words: Correlation analysis, cluster analysis, hydrochemical parameters, principal component analysis, statistical analysis, water quality index.","PeriodicalId":21603,"journal":{"name":"Scientific Research and Essays","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Research and Essays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5897/sre2023.6774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The present investigations were focused on the systematic analysis of surface water quality of the Thamirabarani River from upstream (Pechiparai dam to Gnaramvilai) to downstream (Vettuvenni to Thengaipattinam estuary) during the period from September 2020 to January 2021. The different hydrochemical parameters such as temperature, pH, EC, TDS, fluoride, turbidity, nitrate, phosphate, sulphate, chloride, calcium, magnesium, total hardness, DO, BOD, bicarbonate, carbonate, sodium and potassium were determined upstream (S1-S5) and downstream (S6-S10) of the river water samples. The results showed that the weighted Arithmetic Water Quality Index (WAWQI) values designated two sampling stations out of ten sampling stations ‘Good’ category and another eight sampling stations ‘poor - unsuitable’ category. The results obtained were subjected to multivariate statistical analysis using Correlation matrix the significant relationship among the parameters (significance level with 0.01 and 0.05) PCA and Cluster was also calculated to determine the high pollution loads in the water sample. The mean values of the respective major ions determined are represented in the Schoeller- Berkaloff diagram. From this study the water quality was severely polluted both upstream and downstream region the water quality index and multivariate techniques can be employed for monitoring river resources which can help inadequate planning and management of the Thamirabarani river system. Key words: Correlation analysis, cluster analysis, hydrochemical parameters, principal component analysis, statistical analysis, water quality index.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于多元统计工具的Thamirabarani河上下游水质比较研究
本次调查的重点是系统分析2020年9月至2021年1月期间Thamirabarani河从上游(Pechiparai大坝至Gnaramvilai)到下游(Vettuvenni至Thengaipattinam河口)的地表水质量。测定了上游(S1-S5)和下游(S6-S10)水样的温度、pH、EC、TDS、氟化物、浊度、硝酸盐、磷酸盐、硫酸盐、氯化物、钙、镁、总硬度、DO、BOD、碳酸氢盐、碳酸盐、钠、钾等不同水化学参数。结果表明:加权算术水质指数(WAWQI)值在10个采样站中指定了2个采样站;类别和其他八个采样站‘差-不适合’类别。利用相关矩阵对所得结果进行多元统计分析,计算各参数之间的显著性关系(显著性水平分别为0.01和0.05),并通过主成分分析和聚类分析来确定水样中的高污染负荷。所测定的各主要离子的平均值表示在舍勒-贝克洛夫图中。研究结果表明,该河流上下游水质均受到严重污染,水质指标和多变量技术可用于河流资源监测,有助于改善塔米拉巴拉尼河水系规划和管理的不足。关键词:相关分析,聚类分析,水化学参数,主成分分析,统计分析,水质指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Scientific Research and Essays
Scientific Research and Essays 综合性期刊-综合性期刊
自引率
0.00%
发文量
6
审稿时长
3.3 months
期刊最新文献
Analyzing determinants shaping access to and perceptions of campus food banks in maritime university settings Production of feed grade L-lysine using solid state fermentation for the Nigerian market Endogenous knowledge and farming methods for Jatropha curcas L. in southern Chad Identification of the spatial patterns of air pollution and its sources in Ogui New Layout, South-East of Nigeria, using remote sensing and GIS technology Diurnal variability of the magnetospheric convective electric field (MCEF) from 1996 to 2019: Comparative investigation into the signatures of the geoeffectiveness of coronal mass ejections and magnetic clouds
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1