Impact of rainfall on the water quality of a tropical river: based on the Nilwala River in the southern province of Sri Lanka between March and October 2019

Rashmitha Diwyanjalee Garusinghe, W. A. P. J. Premarathne
{"title":"Impact of rainfall on the water quality of a tropical river: based on the Nilwala River in the southern province of Sri Lanka between March and October 2019","authors":"Rashmitha Diwyanjalee Garusinghe, W. A. P. J. Premarathne","doi":"10.2166/wpt.2024.119","DOIUrl":null,"url":null,"abstract":"\n \n The study addresses the pressing need for an effective monitoring system to assess aquatic water quality, given the exacerbating impact of climate change on surface water bodies. Focusing on the Nilwala River, the research pursues three main objectives: comparative analysis of the Weighted Arithmetic Water Quality Index (WAWQI) values across different river locations, exploration of correlations between monthly rainfall and various physicochemical parameters at distinct sampling sites, and examination of notable disparities in the WAWQI between dry and wet months. Data collected from eight river locations from March to October 2019 revealed significant temporal variations in pH, temperature, chemical oxygen demand (COD), electrical conductivity (EC), alkalinity, chloride (Cl−), and nitrate (NO3-) content. The WAWQI increased across all sites during the drought, with only Site 4 (Wellathota) deemed suitable for drinking. Statistical analyses using an one-way ANOVA and multiple linear regressions unveiled significant relationships between rainfall and pH, biological oxygen demand (BOD), EC, and total alkalinity. The total alkalinity is the most affected parameter by the rainfall. Rainfall positively predicted BOD, COD, and NO3- concentration while negatively predicting other parameters.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"23 21","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Practice & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/wpt.2024.119","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 study addresses the pressing need for an effective monitoring system to assess aquatic water quality, given the exacerbating impact of climate change on surface water bodies. Focusing on the Nilwala River, the research pursues three main objectives: comparative analysis of the Weighted Arithmetic Water Quality Index (WAWQI) values across different river locations, exploration of correlations between monthly rainfall and various physicochemical parameters at distinct sampling sites, and examination of notable disparities in the WAWQI between dry and wet months. Data collected from eight river locations from March to October 2019 revealed significant temporal variations in pH, temperature, chemical oxygen demand (COD), electrical conductivity (EC), alkalinity, chloride (Cl−), and nitrate (NO3-) content. The WAWQI increased across all sites during the drought, with only Site 4 (Wellathota) deemed suitable for drinking. Statistical analyses using an one-way ANOVA and multiple linear regressions unveiled significant relationships between rainfall and pH, biological oxygen demand (BOD), EC, and total alkalinity. The total alkalinity is the most affected parameter by the rainfall. Rainfall positively predicted BOD, COD, and NO3- concentration while negatively predicting other parameters.
降雨对热带河流水质的影响:以 2019 年 3 月至 10 月期间斯里兰卡南部省的尼尔瓦拉河为例
鉴于气候变化对地表水体的影响日益加剧,该研究解决了建立有效监测系统以评估水质的迫切需要。该研究以尼尔瓦拉河为重点,追求三个主要目标:比较分析不同河流地点的加权算术水质指数(WAWQI)值;探索不同采样地点的月降雨量与各种理化参数之间的相关性;以及研究旱季和雨季之间 WAWQI 的显著差异。从 2019 年 3 月至 10 月在八个河流地点收集的数据显示,pH 值、温度、化学需氧量 (COD)、电导率 (EC)、碱度、氯化物 (Cl-) 和硝酸盐 (NO3-) 含量存在显著的时间变化。在干旱期间,所有站点的 WAWQI 都有所上升,只有 4 号站点(Wellathota)被认为适合饮用。使用单向方差分析和多元线性回归进行的统计分析揭示了降雨量与 pH 值、生物需氧量 (BOD)、EC 值和总碱度之间的显著关系。总碱度是受降雨影响最大的参数。降雨量对生化需氧量、化学需氧量和 NO3-浓度的预测为正,而对其他参数的预测为负。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信