2009-2018年塞尔维亚Nišava河流域水质参数统计分析

IF 0.9 4区 社会学 Q3 GEOGRAPHY
Ljiljana Stričević, M. Pavlovic, I. Filipović, A. Radivojević, Nataša Martić Bursać, Milena Gocić
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引用次数: 3

摘要

基于pH、电导率、O2饱和度、BOD5、悬浮物、总氧化氮、磷酸盐、浊度和大肠菌群等参数,对2009-2018年Nišava河流域4个水文站的水质进行了分析。作者将水质指数(WQI)作为河道污染最可靠的指标,用于地表水水质的设定。采用统计学方差分析(ANOVA),采用t检验、推理统计分析和事后Tukey检验来评价特定数据组间的统计学差异。结果表明:各剖面水质均呈年差(WQI = 65 ~ 71)。下游河水pH值降低,BOD5、悬浮物、浊度、TON、磷酸盐、大肠菌群等值逐渐升高。尼伊什站Nišava的水属于第三类水,它们大多含有来自城市和农村地区的废水和工业废水的有机物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical analysis of water quality parameters in the basin of the Nišava River (Serbia) in the period 2009–2018
This paper analyzes water quality from four hydrological stations in the Nišava river basin from 2009–2018 based on the following parameters: pH, conductivity, O2 saturation, BOD5, suspended solids, total oxidized nitrogen, phosphates, turbidity and coliform bacteria. Authors have applied WQI (water quality index) as the most reliable indicator of the watercourses pollution for setting of surface water flow quality. Statistical analysis of variance (ANOVA) using t-test inferential statistical analysis and post-hoc Tukey test were applied to evaluate statistically significant differences between specific data groups. The results show that bad water quality was registered on all the profiles on an annual basis (WQI = 65–71). The river water pH decreases downstream, while values of BOD5, suspended solids, turbidity, TON, phosphates and coliform bacteria gradually increase. The waters of the Nišava at the station Niš belong to the third class of waters and they are mostly loaded with organic matter originating from waste sewage and industrial waters of both urban and rural areas.
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来源期刊
Geografie-Sbornik CGS
Geografie-Sbornik CGS Social Sciences-Geography, Planning and Development
CiteScore
2.20
自引率
0.00%
发文量
12
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