Impact Assessment of the Wastewater Treatment Plants’ Discharges on Maritsa River

Q4 Agricultural and Biological Sciences International Journal Bioautomation Pub Date : 2021-06-30 DOI:10.7546/ijba.2021.25.2.000823
T. Venelinov, Galina Yotova, Veronika Mihaylova, S. Lazarova, S. Tsakovski
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引用次数: 2

Abstract

Data analysis of wastewater samples at the outlets of wastewater treatment plants (WWTPs) of Pazardzhik, Plovdiv and Svilengrad, which discharge into the Maritsa River is presented. Total monthly loads for 2017 at the outlets are calculated using the monthly averages for the concentrations of chemical oxygen demand, biochemical oxygen demand, total phosphorus and total nitrogen (TN) and the monthly averages for the flow rates. The contributions of the WWTPs to the total river loads emphasize that the impact of WWTPs of Pazardzhik and Plovdiv is significantly greater than WWTP of Svilengrad. Additionally, river water samples were collected before and after the discharge points of the WWTPs in August 2018 and analyzed for water quality parameters listed in Directive 75/440/EEC. Comparison between the river concentrations before the outlet of WWPT - Pazardzhik and after the last sampling point (the outlet of WWTP - Svilengrad) indicates an increase for all the studied parameters, except for Al and Cu. Based on the results obtained for TN, the category of the surface water is significantly deteriorated after discharge of the WWTP - Plovdiv. Wastewater effect on the river surface water is also estimated by using a battery of ecotoxicological tests. The results are presented and compared by the classical approach using categorization based on water quality indicators.
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Maritsa河污水处理厂排放的影响评价
本文介绍了帕扎尔日克、普罗夫迪夫和斯维连格勒污水处理厂排入马里察河的污水样本的数据分析。采用化学需氧量、生化需氧量、总磷和总氮(TN)浓度的月平均值和流量的月平均值计算2017年各出口的月总负荷。污水处理场对河流总负荷的贡献强调了帕扎尔日克和普罗夫迪夫的污水处理场的影响显著大于斯维连格勒。此外,2018年8月,在污水处理厂排放点前后收集了河流水样,并对75/440/EEC指令中列出的水质参数进行了分析。在Pazardzhik出口前与最后一个采样点(Svilengrad出口)之后的河流浓度比较表明,除Al和Cu外,所有研究参数都增加了。从TN的计算结果来看,Plovdiv排放后地表水的类别明显恶化。废水对河流地表水的影响也通过一系列生态毒理学试验进行了估计。采用经典的基于水质指标的分类方法对结果进行了比较。
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来源期刊
International Journal Bioautomation
International Journal Bioautomation Agricultural and Biological Sciences-Food Science
CiteScore
1.10
自引率
0.00%
发文量
22
审稿时长
12 weeks
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