Using bacteria and benthic macroinvertebrates as water quality parameters in Mat River, Albania

IF 2.1 4区 环境科学与生态学 Q2 ENGINEERING, CIVIL
Etleva Hamzaraj, Pranvera Lazo, Anila Paparisto, Brikena Parllaku
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引用次数: 1

Abstract

Abstract This research examines the quality of Mat River water to control and reduce the level of environmental pollution in accordance with national rules and regulations. The focus of this study was the assessment of river water quality by using bacteria and benthic macroinvertebrates, as biological markers of stream water quality. The research was conducted from June 2018 to June 2019 at five sampling sites along the Mat River, with monthly sampling for chemical-physical and microbiological parameters and seasonal sampling for benthic macroinvertebrates. The investigated data for the studied parameters were statistically analysed using MINITAB 19 software. The variation in spatial and temporal trends of the investigated parameters showed differences in water quality among different sampling sites. The bacterial load was found to be higher near urban areas, and the pollution increased with the river course. The same tendency in water quality showed up even in the benthic macroinvertebrates population. Pearson correlation coefficients (p > 0.05) between the water quality data revealed the similarity and the associations between parameters. Cluster analysis of the investigated parameters revealed the classification of Mat River water quality and the possibility of using microbiological parameters and/or benthic macroinvertebrates for the assessment of water quality.
用细菌和底栖大型无脊椎动物作为阿尔巴尼亚马特河水质参数
摘要本研究依据国家相关法规,对马河水质进行检测,以控制和降低环境污染水平。本研究的重点是利用细菌和底栖大型无脊椎动物作为河流水质的生物标志物对河流水质进行评价。该研究于2018年6月至2019年6月在Mat河沿岸的五个采样点进行,每月采样化学物理和微生物参数,并对底栖大型无脊椎动物进行季节性采样。采用MINITAB 19软件对研究参数的调查数据进行统计分析。调查参数的时空变化趋势表明,不同采样点的水质存在差异。城市附近细菌负荷较高,且污染程度随河道的增加而增加。即使在底栖大型无脊椎动物种群中,水质也出现了同样的趋势。皮尔逊相关系数(p >0.05),说明各参数之间存在相似性和相关性。对调查参数进行聚类分析,揭示了马特河水质的分类,以及利用微生物参数和/或底栖大型无脊椎动物进行水质评价的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
20 weeks
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