College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
School of Environment and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, 100084, China.
Environ Sci Pollut Res Int. 2020 Feb;27(6):6193-6204. doi: 10.1007/s11356-019-07335-9. Epub 2019 Dec 21.
The levels of metals in sediments of urban river ecosystems are crucial for aquatic environmental health and pollution assessment. Yet little is known about the interaction of nutrients with metals for environmental risks under contamination accumulation. Here, we combined hierarchical cluster, correlation, and principal component analysis with structural equation model (SEM) to investigate the pollution level, source, toxicity risk, and interaction associated with metals and nutrients in the sediments of a river network in a city area of East China. The results showed that the pollution associated with metals in sediments was rated as moderate degree of contamination load and medium-high toxicity risk in the middle and downstream of urban rivers based on contamination factor, pollution load index, and environmental toxicity quotient. The concentration of mercury (Hg) and zinc (Zn) showed a significant correlation with toxic risks, which had more contribution to toxicity than other metals in the study area. Organic nitrogen and organic pollution index showed heavily polluted sediments in south of the study area. Though correlation analysis indicated that nutrients and metals had different input zones from anthropogenic sources in the urban river network, SEM suggested that nutrient accumulation indirectly intensified toxicity risk of metals by 13.6% in sediments. Therefore, we suggested the combined consideration of metal toxicity risk with nutrient accumulation, which may provide a comprehensive understanding to identify sediment pollution. Graphical abstract Toxicity rate of metals in sediments from urban river network indirectly intensified by nutrients accumulation.
城市河流生态系统沉积物中的金属水平对水生环境健康和污染评估至关重要。然而,对于在污染积累下,营养物质与金属之间的相互作用如何影响环境风险,人们知之甚少。在这里,我们结合层次聚类、相关性和主成分分析以及结构方程模型(SEM),调查了华东地区一个城市河流网络沉积物中金属和营养物质的污染水平、来源、毒性风险以及相互作用。结果表明,根据污染因子、污染负荷指数和环境毒性商数,城市河流中下游沉积物中与金属有关的污染被评定为中度污染负荷和中高度毒性风险。汞(Hg)和锌(Zn)的浓度与毒性风险呈显著相关,它们对研究区域的毒性的贡献大于其他金属。有机氮和有机污染指数显示研究区域南部的沉积物污染严重。虽然相关分析表明,营养物质和金属来自城市河流网络中人为来源的不同输入区,但 SEM 表明,营养物质的积累间接增加了沉积物中金属毒性风险 13.6%。因此,我们建议综合考虑金属毒性风险和营养物质积累,这可能有助于全面了解沉积物污染。