Institute of Urban and Industrial Water Management, Technische Universität Dresden, 01062, Dresden, Germany.
School of Environment, South China Normal University, University Town, 510006, Guangzhou, China; Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, 510006, Guangzhou, China.
Water Res. 2020 Jul 15;179:115901. doi: 10.1016/j.watres.2020.115901. Epub 2020 May 8.
As carcinogenic and pervasive pollutants, polycyclic aromatic hydrocarbons (PAHs) in surface water are crucial to environmental policies, and the understanding of their trends and influencing factors is critical for achieving a good chemical and ecological status of water bodies. Based on long-term monitoring data from 1998 to 2017, this study systematically evaluated the spatiotemporal distribution, multimedia transport, fate, and source apportionment of PAHs adsorbed on suspended particulate matter (SPM) in Rhine and Elbe Rivers. The results of the Mann-Kendall test indicated that pollution levels of PAHs decreased from 2.81×10μg⋅s to 9.80×10μg⋅s on average in the Rhine and from 1.60×10 μg⋅s to 5.21×10 μg⋅s in the Elbe in the last 20 years. Spatially, SPM near urban areas had higher PAH mass fluxes (Rhine:3.07×10μg⋅s, Elbe: 1.73×10μg⋅s) and greater rates of decrease (slopes for Rhine and Elbe: -409, -323) than those near rural areas (Rhine:1.41×10 μg⋅s, Elbe: 9.35×10μg⋅s; slopes for Rhine and Elbe: -128, -89), indicating the significant influence of anthropogenic activities. Wavelet analysis showed that the pollution level of PAH had significant periodic oscillations for the Rhine and Elbe, and revealed several abrupt change points for the two rivers. A multimedia fugacity model demonstrated that impervious surfaces had the highest concentration (Rhine: 1.84g⋅m, Elbe: 0.15g⋅m), while soil (Rhine: 8.33×10g, Elbe: 2.53×10g) and sediments (Rhine: 4.85×10g, Elbe: 1.31×10g) had higher masses of PAHs. Furthermore, source apportionment computed using a self-organizing map and positive matrix factorization model suggested that the major sources of PAHs were vehicular emissions and coal combustion, which accounted for 51.86% of the total mass in the Rhine and 62.92% in the Elbe. The data revealed that the long-term trends of PAH variation were associated with changes in energy consumption and the implementation of vehicular emission standards. Therefore, the substitution of coal and petroleum with renewable energies could assist strategies of PAH mitigation in the environment and gradual reduction of pollution levels.
作为致癌和普遍存在的污染物,地表水中的多环芳烃(PAHs)对环境政策至关重要,了解其趋势和影响因素对于实现水体的良好化学和生态状况至关重要。本研究基于 1998 年至 2017 年的长期监测数据,系统评估了莱茵河和易北河悬浮颗粒物(SPM)吸附的 PAHs 的时空分布、多媒体传输、归宿和源分配。Mann-Kendall 检验结果表明,在过去 20 年中,莱茵河 PAHs 的污染水平从 2.81×10μg⋅s 平均下降到 9.80×10μg⋅s,易北河从 1.60×10μg⋅s 下降到 5.21×10μg⋅s。空间上,城市附近 SPM 的 PAH 质量通量(莱茵河:3.07×10μg⋅s,易北河:1.73×10μg⋅s)和减少率(莱茵河和易北河的斜率分别为-409、-323)高于农村地区(莱茵河:1.41×10μg⋅s,易北河:9.35×10μg⋅s;莱茵河和易北河的斜率分别为-128、-89),表明人为活动的显著影响。小波分析表明,莱茵河和易北河的 PAH 污染水平存在显著的周期性波动,并揭示了两条河流的几个突然变化点。多介质逸度模型表明,不透水表面的浓度最高(莱茵河:1.84g⋅m,易北河:0.15g⋅m),而土壤(莱茵河:8.33×10g,易北河:2.53×10g)和沉积物(莱茵河:4.85×10g,易北河:1.31×10g)中 PAHs 的质量更高。此外,使用自组织映射和正定矩阵因子模型计算的源分配表明,PAHs 的主要来源是机动车排放和煤炭燃烧,它们分别占莱茵河总质量的 51.86%和易北河的 62.92%。数据显示,PAH 变化的长期趋势与能源消耗的变化和机动车排放标准的实施有关。因此,用可再生能源替代煤炭和石油可以帮助减轻环境中的 PAH 并逐步降低污染水平。