Faculty of Chemistry and Pharmacy, Sofia University "St. Kliment Ohridski", 1164 Sofia, Bulgaria.
Faculty of Hydraulic Engineering, University of Architecture, Civil Engineering and Geodesy, 1046 Sofia, Bulgaria.
Molecules. 2020 Sep 25;25(19):4408. doi: 10.3390/molecules25194408.
Surface water quality strongly depends on anthropogenic activity. Among the main anthropogenic sources of this activity are the wastewater treatment plant (WWTP) effluents. The discharged loads of nutrients and suspended solids could provoke serious problems for receiving water bodies and significantly alter the surface water quality. This study presents inventory analysis and chemometric assessment of WWTP effluents based on the mandatory monitoring data. The comparison between the Bulgarian WWTPs and previously reported data from other countries reveals that discharged loads from investigated WWTPs are lower. This is particularly valid for total suspended solids (TSS). The low TSS loads are the reason for the deviations of the typical calculated WWTP effluent ratios of Bulgarian WWTPs compared to the WWTPs worldwide. The performed multivariate analysis reveals the hidden factors that determine the content of WWTP effluents. The source apportioning based on multivariate curve resolution analysis provides detailed information for source contribution profiles of the investigated WWTP effluent loads and elucidate the difference between WWTPs included in this study.
地表水质强烈依赖于人为活动。在这些人为活动的主要人为污染源中,有污水处理厂(WWTP)的废水。排放的营养物和悬浮物负荷可能会对受纳水体造成严重问题,并显著改变地表水水质。本研究基于强制性监测数据对 WWTP 废水进行清单分析和化学计量评估。将保加利亚的 WWTP 与其他国家以前报告的数据进行比较表明,所调查的 WWTP 排放的负荷较低。这对于总悬浮固体(TSS)尤其如此。TSS 负荷低是导致所调查的保加利亚 WWTP 的典型计算 WWTP 废水比例与世界范围内的 WWTP 相比存在偏差的原因。进行的多元分析揭示了决定 WWTP 废水含量的隐藏因素。基于多元曲线分辨分析的源分配为所调查的 WWTP 废水负荷的源贡献分布提供了详细信息,并阐明了本研究中包含的 WWTP 之间的差异。