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Long-Term Trends in Water Quality Indices in the Lower Danube and Tributaries in Romania (1996–2017)

机译:罗马尼亚较低的多瑙河和支流中的水质指数的长期趋势(1996-2017)

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摘要

The Danube River is the second longest in Europe and its water quality is important for the communities relying on it, but also for supporting biodiversity in the Danube Delta Biosphere Reserve, a site with high ecological value. This paper presents a methodology for assessing water quality and long-term trends based on water quality indices (WQI), calculated using the weighted arithmetic method, for 15 monitoring stations in the Lower Danube and Danube tributaries in Romania, based on annual means of 10 parameters for the period 1996–2017. A trend analysis is carried out to see how WQIs evolved during the studied period at each station. Principal component analysis (PCA) is applied on sub-indices to highlight which parameters have the highest contributions to WQI values, and to identify correlations between parameters. Factor analysis is used to highlight differences between locations. The results show that water quality has improved significantly at most stations during the studied period, but pollution is higher in some Romanian tributaries than in the Danube. The parameters with the highest contribution to WQI are ammonium and total phosphorus, suggesting the need to continue improving wastewater treatment in the studied area. The methodology and the results of the study may be very useful instruments for specialists and decision makers in updating river basin management plans and prioritising intervention measures.
机译:多瑙河是欧洲第二次最长的,其水质对依托的社区非常重要,而且对于在多瑙河三角洲生物圈储备中支持生物多样性,这是一种高生态价值的网站。本文提出了一种评估基于水质指数(WQI)的水质和长期趋势的方法,使用加权算术方法计算,用于罗马尼亚的下小帆布和多瑙河支流中的15个监测站,基于年度10分1996 - 2017年期间的参数。进行了趋势分析,以了解在每个站的研究期间如何进化。主成分分析(PCA)应用于子指数,以突出显示哪个参数对WQI值的最高贡献,并识别参数之间的相关性。因子分析用于突出位置之间的差异。结果表明,在研究期间,水质在大多数站点上有所提高,但在一些罗马尼亚支流中的污染比多瑙河更高。对WQI贡献最高的参数是铵和总磷,表明需要在研究区域继续改善废水处理。该研究的方法和结果对于更新河流域管理计划和优先干预措施的专家和决策者来说可能是非常有用的工具。

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